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The digital transformation of transportation - v 1.2

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The latest presentation concerning the digital transformation of transportation. All information and tools about transport open data standard and platform, routing algorithm, smart city, and door-to-door multimodal tools.

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The digital transformation of transportation - v 1.2

  1. 1. The Digital Transformation of Transportation William El Kaim Oct. 2016 - V 2.1
  2. 2. This Presentation is part of the Enterprise Architecture Digital Codex http://www.eacodex.com/Copyright © William El Kaim 2016 2
  3. 3. Plan The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 3
  4. 4. Software is Eating the World • Value from bits (information content) grows faster than the value from atoms (the physical product or human-delivered service) • Digital capabilities increasingly will determine which companies create or lose value. • The “plug and play” nature of digital assets causes value chains to disaggregate, creating openings for focused, fast-moving competitors. • New market entrants often scale up rapidly at lower cost than legacy players can, and returns may grow rapidly as more customers join the network. Source: McKinsey Quarterly and PWC Copyright © William El Kaim 2016 4
  5. 5. http://www.google.com/earth/download/gep/agree.html http://umap.openstreetmap.fr/en/ Maps Everywhere Copyright © William El Kaim 2016 5
  6. 6. Real-Time In Context Information • Contextual alerts so you don’t need to dig for information — it’s all brought to you. • Get maps, directions and estimated drive times. • Send “running late” texts or emails to meeting attendees. • Dial-in to a conference call. • Check flight status, terminal and gate information. • Find and order Uber rides to your next meeting, intelligently auto filling destinations based on data from your calendars. • Discover the weather forecast based on location. http://www.tempo.ai/Copyright © William El Kaim 2016 6
  7. 7. Your Transport Ticket in Your Watch! https://www.trainline.eu/ Copyright © William El Kaim 2016 7
  8. 8. Real-Time Pervasive Information http://bustime.mta.info/wiki/Developers/Index http://nathan9.github.io/nycbusperformance/Copyright © William El Kaim 2016 8
  9. 9. Autonomous Cars Are Data Hungry! Copyright © William El Kaim 2016 9
  10. 10. Autonomous Cars Are Data Hungry! Copyright © William El Kaim 2016 10
  11. 11. Source: World Economic Forum What Customers Want: Mobility Now! Copyright © William El Kaim 2016 11
  12. 12. Need to Re-invent Mobility! • In lieu of large civil infrastructure projects, transportation systems are increasingly being augmented with a range of information technologies that make them smarter, safer, more efficient, more integrated. • Transformation is now being driven by the private sector. • Companies are investing in infrastructure for mobility on a similar scale, but using very different technology. • All but invisible to planners and citizens alike, new communications network are becoming the most important transportation infrastructure of our era, enabling us to re-invent the how our roads, transit systems, and freight and logistics networks function. • The hidden nature of these new mobility infrastructures – tiny devices in our pockets communicating over invisible radio waves with algorithms running on servers in the cloud – has conspired to conceal the important public policy and planning issues that their mass adoption raises. Source: Reprogramming Mobility ProjectCopyright © William El Kaim 2016 12
  13. 13. Welcome To The Smart Mobility Era! Source: Frost and Sullivan Smart Mobility is about seamless travel using all of the various modes of transportation available rather than relying solely on one transportation mode Copyright © William El Kaim 2016 13
  14. 14. Welcome To The Smart Mobility Era! • The "omnia illico" era (Everything Now !) • Impatient travelers willing to have a mobility solution Now and Here! • Smart Mobility to the rescue … • Contextual mobility creates the opportunity for a better passenger experience and faster passenger flow, it also creates the opportunity for transport service providers to market additional services. • Algorithm will leverage user context to propose pro- active mobility solutions and create new habits • In lieu of large civil infrastructure projects, transportation systems are increasingly being augmented with a range of information technologies and new form of transportations that make them smarter, safer, more efficient, more integrated. Copyright © William El Kaim 2016 14
  15. 15. Plan • The Smart Mobility Era The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 15
  16. 16. Smart Mobility Actors Taxonomy • Transformation of the transportation domain is now being driven mainly by the private sector • Cities are facing budget issues and could not subsidize Transport like before! • Cities were not used of offering smart on-demand mobility, but quite the opposite (also called “mass transit”) • Three kinds of private actors are rising • Smart Mobility Providers is a member in the value chain who enables or owns a new mode of transport and offers a programmatic access to its services (mobile app, API, etc.). • Smart Mobility Integrator is an entity which enables the existence of mobility programs through its current offering. • Smart Mobility Aggregator is an entity which offers a selection of mobility services as core business either as standalone providers or through partnerships. Source: Frost and SullivanCopyright © William El Kaim 2016 16
  17. 17. Smart Mobility Ecosystem One City at a Time Copyright © William El Kaim 2016 17
  18. 18. Smart Mobility Ecosystem One City at a Time Copyright © William El Kaim 2016 18
  19. 19. Smart Mobility Ecosystem One City at a Time Source: Frost and SullivanCopyright © William El Kaim 2016 19
  20. 20. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 20
  21. 21. Transportation Data • Traditional sources • GIS base-layers • Traffic counts • Transit vehicle locations • Toll and Fare-gate counts • New technology provides new data • On-street and garage parking space occupancy • Bike-share station activity • Crowd-sourced incident alerts • Trip records for public/shared transport (taxi, bike-share etc) Copyright © William El Kaim 2016 21
  22. 22. What is Open Data? • “Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.” • The full Open Definition gives precise details as to what this means. • Availability and Access • Data is available in the common and convenient format • Data is free or for a fee tied to distribution costs • Reuse and Redistribution • Allows for reuse and mixing with other datasets • Universal participation • Civic and for-profit purposes are treated equally Copyright © William El Kaim 2016 22Adapted from the Open Data Handbook
  23. 23. Examples of Open Transport Data • Transit • Maps and schedules • Stop and station locations • Real-time vehicle locations • Traffic/Roads • Road crashes • Roadway features/classifications • Walking • Sidewalk inventory • Wheelchair accessible ramps/sidewalks • Cycling • Bike facilities and preferred routes • Location of bike share stations Copyright © William El Kaim 2016 23
  24. 24. What Can Open Transport Data Lead To? • Public-facing transport applications like journey planners, real-time travel information • Transport planning and analysis applications • Technology to support new modes of transport (carshare, bikeshare, dynamic dispatch, etc.) • Third party involvement in transport information provision • Freedom from proprietary data management systems and services • Informal planning coordination among public agencies 24 Adapted with permission from Conveyal and ITP
  25. 25. Open Data Promotes Innovation With Low Effort 25 Data Hub Agency responds to individual, custom requests by developer All developers can access open format Agency produces GTFS and opens it once. Small subset of riders find this specific tool useful. Many riders access a diverse market of tools powered by Standard format. Too burdensome; some developers never participate
  26. 26. Open Data Transport Ecosystem Copyright © William El Kaim 2016 26
  27. 27. Risk Potential and Remedies • Incorrect information published • Using live data feeds allows for corrections made at the source to cascade to active data users. • Maintain mailing lists/contact forums for data users • Data becomes out-of-date • Set expiration dates on data and plan to take down information • Old data may be worse than no data at all if it gives wrong information • Errors by developers are perceived as agency errors • Include disclaimers and consider restrictions on naming conventions to avoid confusion with agencies 27
  28. 28. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 28
  29. 29. Transit Format: Two Competing Formats • Transit open format as open protocol and API provided by Google : GTFS platform and API • The General Transit Feed Specification (GTFS) defines a common format for public transportation schedules and associated geographic information. • GTFS "feeds" allow public transit agencies to publish their transit data and developers to write applications that consume that data in an interoperable way • GTFS-realtime is a feed specification that allows public transportation agencies to provide realtime updates about their fleet to application developers. It is an extension to GTFS • EU standard named Service Interface for Real Time Information (SIRI) • XML protocol to allow distributed computers to exchange real time information about public transport services and vehicles. Copyright © William El Kaim 2016 29
  30. 30. Google GTFS • Provides schedule (static data) or Real-time Transit information everybody can use • GTFS feeds • General Transit Feed Specification Reference • Transit Data Feed: List of Public Feeds • GTFS Data exchange • Tools • Google Map Transit • Google transit for developers • Google Now and crowdsourcing from Waze. • List of tools not built by Google: https://code.google.com/p/googletransitdatafeed/wiki/OtherGTFSTools Copyright © William El Kaim 2016 30
  31. 31. Google GTFS Copyright © William El Kaim 2016 31
  32. 32. http://www.google.fr/intl/en/landing/transit/#mdyCopyright © William El Kaim 2016 32
  33. 33. Google Maps Copyright © William El Kaim 2016 33
  34. 34. Google Maps Copyright © William El Kaim 2016 34
  35. 35. Google Now! Copyright © William El Kaim 2016 35
  36. 36. SIRI the European standard • Service Interface for Real Time Information (SIRI) • XML protocol to allow distributed computers to exchange real time information about public transport services and vehicles. • The protocol is a European Committee for Standardization technical specification, • developed with initial participation by France, Germany (Verband Deutscher Verkehrsunternehmen), Scandinavia, and the UK (RTIG) • Based on the Transmodel (EN TC278, Reference Data Model For Public Transport, EN12896) abstract model for public transport information, • The present version of TRANSMODEL (V5.0) uses an Entity-Relationship modeling approach • Comprises a general purpose model, and an XML schema for public transport information. Copyright © William El Kaim 2016 36
  37. 37. A New Standard in Europe: NETEXT • NeTEx is to be used for interoperable exchange of public transport passenger information between systems, supporting a multimodal approach to public transport (including rail, bus, coach and metro systems). • It is intended as a European wide standard and mainstream XML technology. • The NeTEx will describe: 1. The fixed Network (stops, routes, lines, etc.); 2. The Timetables and 3. Fare data. • NeTEx is more broader than GTFS and NEPTUNE (french standard)! Copyright © William El Kaim 2016 37
  38. 38. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 38
  39. 39. Transit Applications • Transit Applications leverage open data and user generated content to provide information about the public transport and sometimes car traffic. • They also propose the best way to go from one place to another taking into account several transport providers. Copyright © William El Kaim 2016 39
  40. 40. Transit App & Tools • Citygoround marketplace: Hundreds of transit based apps are now available in this marketplace • Delhi Offline App by Google • Google Maps • Mapway • Moovel Transit (ex: RideScout) • Moovit: mobile app leveraging crowd information and delivering door-to- door public transport information. • OMG transit: offers multimodal search and transportation options and booking • OneBusAway: suite of open-source products that distribute real-time passenger information through the web, public signs, smartphone apps, texts, interactive voice-response systems and a well-documented API. • Scout: now using Open Street Map and offering both GPS, and traffic information. • Transit: works in 76 metropolitan areas that believe in Open Data • Transiteditor and TransitScreen: Making transit information ubiquitous in buildings and other public spaces • Transportr Copyright © William El Kaim 2016 40
  41. 41. Citygoround Marketplace http://www.citygoround.org/apps/Copyright © William El Kaim 2016 41
  42. 42. Delhi Public Transport Offline by Google https://play.google.com/store/apps/details?id=com.google.android.apps.geo.briim.gnobuCopyright © William El Kaim 2016 42
  43. 43. Moovel Transit http://www.moovel-transit.com/Copyright © William El Kaim 2016 43
  44. 44. Moovit: Where’s My Public Transport? • Wants to solve the “uncertainty” that public transit users face. • Where’s my bus right now? How do I find the right stop to board it? How do I pay when I get on? It’s enough to make you want to stick with a car. • One big challenge that Moovit faces is the sheer variety of different data sources it has to handle. • In some areas, there are real-time feeds of bus and train locations available, whereas in others it has to work with fixed timetable information. • What’s more, that data comes to Moovit in a variety of formats from 2,000 transport agencies around the world. • 30 employees (Dec. 2013) and already and already 100 metropolitan areas Copyright © William El Kaim 2016 44
  45. 45. http://tripplan.moovitapp.com/Copyright © William El Kaim 2016 45
  46. 46. Moovit: Where’s My Public Transport? Copyright © William El Kaim 2016 46
  47. 47. OMG Transit (USA cities) https://omgtransit.com/#/mobileappsCopyright © William El Kaim 2016 47
  48. 48. Scout http://www.scoutgps.com/Copyright © William El Kaim 2016 48
  49. 49. Transit http://thetransitapp.com/Copyright © William El Kaim 2016 49
  50. 50. Transportr The public transport companion that respects your privacy and your freedom. https://transportr.grobox.de/Copyright © William El Kaim 2016 50
  51. 51. VIA Analytics http://www.v-a.io/Copyright © William El Kaim 2016 51
  52. 52. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 52
  53. 53. Smart City • Urbanization creating massive and rapid pressure on mass transit systems • 80% of the world’s population will be living in cities by 2050. • A growing urban middle class also creates challenges. • Increasingly sophisticated, and web-connected consumers demand a better customer experience in mobility. • Proliferation of sensors • Smartphones not only create the opportunity to provide services to users, but they are also sensors in their own right and hence rich sources of data. • Sensors are being installed in city to get a more precise vision of its “context” • The need for new business model • Just as contextual mobility creates the opportunity for a better passenger experience and faster passenger flow, it also creates the opportunity for transport service providers to market additional services Copyright © William El Kaim 2016 53
  54. 54. Smart City • The concept of 'smarter cities' originated in 2008, by IBM as part of its Smarter Planet initiative. • A Smart City should have at least five out of the eight “smart” parameters listed by Frost & Sullivan. Copyright © William El Kaim 2016 54
  55. 55. Smart City Principles Source: PWCCopyright © William El Kaim 2016 55
  56. 56. Smart City based on data … Source: DisitCopyright © William El Kaim 2016 56
  57. 57. ² http://servicemap.disit.org/WebAppGrafo/mappa.jsp Copyright © William El Kaim 2016 57
  58. 58. Smart City & Connected City Copyright © William El Kaim 2016 58
  59. 59. Smart City: Seoul • Seoul, South Korea has equipped its taxis and buses with GPS transmitters and used data from the movement of these vehicles to monitor traffic flows and optimize traffic lights, speed limits, and public transportation schedules, often in real-time. • The city further combines this vehicle data with smart transit-card data (more recently NFC-enabled smartphone wallet data) to observe the movement of people through the city’s subways, buses, and taxis and ensure both adequate capacity in the transportation system and adjacent infrastructure and services like housing, retail, and policing. Source: PandodailyCopyright © William El Kaim 2016 59
  60. 60. Smart City: Singapore Live Singapore siteCopyright © William El Kaim 2016 60
  61. 61. Smart City: Other Examples • Dublin, Ireland worked with IBM to install a network of sensors throughout the city to monitor traffic in real-time. • This data is combined with closed-circuit cameras and bus-mounted GPS transmitters to digitally map the city in real-time and to enable real-time, intelligent traffic management measures. • London hired Microsoft in 2011 to create a developer platform around its real-time raw transportation data with the goal of offering consumers more insight into the various transportation options available on any given route. • Usage of the platform quickly grew from thousands to millions of users per day. • The city also layered in Internet of Things devices to monitor temperature, vibration, and humidity, and to detect faults in the Underground train system. • Uber offer cities, beginning with Boston, access to its trip data for use in master-planning Source: PandodailyCopyright © William El Kaim 2016 61
  62. 62. Smart City: Data and API • The smart cities agenda is transforming how cities manage their infrastructure and how they communicate with citizens and local businesses. • Open data and the use of sensor technologies to provide real-time feedback on the use of urban infrastructure are two components at the center of what is considered a “smart city.” • Cities around the world are opening up their public transport data to enable third-party developers to create new commercial and social good products. • Public transport is often a good starting point for cities looking to open up useful data sources as part of a smart cities agenda. Source: ProgrammableWebCopyright © William El Kaim 2016 62
  63. 63. Smart City: Data and API • How public transport data is opened (and the role of APIs in this process) demonstrates the potential that comes from cities opening up their data: • It is an immediately useful data source that enhances participation in city life. • It can add value to contextual and personal data. • It has a real-time component. • There are commercial revenue opportunities across a range of industry uses, with innovative business models that can be applied. • It often involves multiple stakeholders and, therefore, requires aggregating of data from multiple sources. Source: ProgrammableWebCopyright © William El Kaim 2016 63
  64. 64. http://www.bridj.com/#new-pageCopyright © William El Kaim 2016 64
  65. 65. Spallian: Geodata for cities http://www.spallian.com/Copyright © William El Kaim 2016 65
  66. 66. Spallian: TellMyCity Already70 cities using it http://www.spallian.com/tellmycity/Copyright © William El Kaim 2016 66
  67. 67. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 67
  68. 68. Data Everywhere • Data Everywhere makes it simple for spreadsheet users to synchronize, share, and collect data. • Data Everywhere’s spreadsheet add-ins take data from your existing spreadsheets and automatically send it to other authorized people, spreadsheets, and applications. https://www.dataeverywhere.com/Copyright © William El Kaim 2016 68
  69. 69. The Impacts … • For governments, there are resource implications to providing public transport data via APIs. • Getting Taxi/Black Car live data is still an open topic in all major cities • Same questions for sharing economy platforms, do they want to share their data (Blablacar, Uber, etc.) • For developers, there are commercial opportunities from building a successful data-driven business that leverages public transport APIs. • And for the community, there are both enhancements to city life and frustrations to social participation that emerge from public transport API supply. Source: ProgrammableWebCopyright © William El Kaim 2016 69
  70. 70. Three Steps … 1. Making Data Available • Government and cities providing “open data” through portal 2. Making Data Accessible • Government and cities providing API through partners • Government and cities using a marketplace to trade data 3. Making Data Valuable • How are developers using public transport APIs to empower a smart cities agenda and what is the progress of city authorities looking to make their transportation systems smart? Source: ProgrammableWebCopyright © William El Kaim 2016 70
  71. 71. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API Managing Transport Open Data • Making Data Available • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 71
  72. 72. Making Data Available, Accessible and Valuable • Schedule and Transit Open data is common in North America, but not so common in EU • National Transit DB and US City Open Data Census • Government Opendata web site in France • Data.gouv.fr • In Germany the concept of marketplace for data was put in place by the government • MDM: Mobility Marketplace • In UK, the London Datastore offers all sorts of data about the City. • And of course, each city or region or public and private transport provider could open its own data … Copyright © William El Kaim 2016 72
  73. 73. Data: Data.gouv.fr (France) http://www.data.gouv.fr/fr/groups/territoires-et-transportsCopyright © William El Kaim 2016 73
  74. 74. http://data.london.gov.uk/Copyright © William El Kaim 2016 74
  75. 75. Data: National Transit Data (USA) http://www.ntdprogram.gov/ntdprogram/data.htmCopyright © William El Kaim 2016 75
  76. 76. Data: US City Open Data Census http://us-city.census.okfn.org/ Copyright © William El Kaim 2016 76
  77. 77. Data: Seattle https://data.seattle.gov/browse?category=Transportation Copyright © William El Kaim 2016 77
  78. 78. Data: Mobility Marketplace in Germany • Project funded by German Government • Pilot started in 2012, and should be productive in 2014 • Marketplace for mobility related data where authorities (like public transport companies) and private companies can sell/buy data. http://www.mdm-portal.de/Copyright © William El Kaim 2016 78
  79. 79. Other Examples • Transport Provider • SNCF Open Data (France) • Transport Organization Authority (city / region) • STIFF Open Data (Ile de France, France) • Rennes Metropole (France) • Transport for London (UK) • Trimet for Portland (USA) • Consortium • IMDATA (UK) from Catapult (UK) • Other • Pakku (France) Copyright © William El Kaim 2016 79
  80. 80. SNCF http://opendata.transilien.com/apps/ https://data.sncf.com/appsCopyright © William El Kaim 2016 80
  81. 81. IMDATA http://imdata.co.uk/ ‘one-stop shop’ for information on all currently known Intelligent Mobility related sources of data in UK Copyright © William El Kaim 2016 81
  82. 82. Rennes Metropole http://data.keolis-rennes.com/Copyright © William El Kaim 2016 82
  83. 83. Rennes Metropole Copyright © William El Kaim 2016 83
  84. 84. Pakku http://pakku.io/browse?category=transportsCopyright © William El Kaim 2016 84
  85. 85. Transport for London http://tfl.gov.uk/Copyright © William El Kaim 2016 85
  86. 86. Transport for London http://tfl.gov.uk/Copyright © William El Kaim 2016 86
  87. 87. TriMet in Portland http://trimet.org/Copyright © William El Kaim 2016 87
  88. 88. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API Managing Transport Open Data • Making Data Accessible • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 88
  89. 89. Making Data Accessible Generic Open Data Tools • Commercial (On Premise or SaaS) • ArcGIS Open Data (FR), Datapress (UK), Junar (ES), OpenDataSoft (FR), Socrata (US), Swirrl (UK) • Open Source and community based • Ckhan (US – open source), Dkan (US), MIT DataHub (US), Open-DAI (EU), UrbanOpus (smart city open source), uData (FR – etalab). • Build your own with Amazon services from Arkansas (US) • Data Exchange Platform • Datahub.io • API Only • ProgrammableWeb lists 293 transportation APIs Of which 83 are related to public transport (either APIs from specific cities releasing their public transport data or aggregate service providers offering APIs for route planning or mapping). Copyright © William El Kaim 2016 89
  90. 90. http://www.opendatasoft.com/Copyright © William El Kaim 2016 90
  91. 91. http://ckan.org/Copyright © William El Kaim 2016 91
  92. 92. Data: Datahub.io http://datahub.io/dataset?q=gtfs Copyright © William El Kaim 2016 92
  93. 93. http://www.junar.com/Copyright © William El Kaim 2016 93
  94. 94. http://www.socrata.com/Copyright © William El Kaim 2016 94
  95. 95. https://opendata.arcgis.com/aboutCopyright © William El Kaim 2016 95
  96. 96. Making Data Accessible Transport Open Data Platform • Dedicated and specialized solutions exist also for the gathering and publishing of transport data • sometimes enhanced with intermodal and/or multimodal planning • Commercial Solutions • Cityway OpenService (FR – real time), FluidTime (AU - built Smile), Instant System (FR – real time), Keolis Navitia.io (FR), Moviken (FR – real time), Overheid.io (NL – Real time), Rome2Rio (Australia), TransportAPI (UK – real time), PlannerStack (NL – real time), Wehicles (FR). • Open Source Solutions • Transitland, Transitime, Tempus Copyright © William El Kaim 2016 96
  97. 97. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API Managing Transport Open Data • Making Data Valuable • Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 97
  98. 98. Making Data Valuable Historical Data Big Data: Data Mining, Reporting, and Benchmarking, Forecasting Copyright © William El Kaim 2016 98
  99. 99. TRAVIC: Transit Vizualisation Client http://tracker.geops.ch/Copyright © William El Kaim 2016 99
  100. 100. Google Flight Explorer https://www.google.com/flights/explorer/Copyright © William El Kaim 2016 100
  101. 101. NYC Taxi Data Visualization http://googlemapsmania.blogspot.co.uk/2014/11/mapping-new-york-taxi-data.htmlCopyright © William El Kaim 2016 101
  102. 102. Interactive Exploration Of Boston's Subway System http://mbtaviz.github.io/Copyright © William El Kaim 2016 102
  103. 103. Paris Subway Data Exploration http://metropolitain.io/Copyright © William El Kaim 2016 103
  104. 104. SNCF DataExpeditions https://dataexpeditions.github.io/index.htmlCopyright © William El Kaim 2016 104
  105. 105. Tube HeartBeat http://tubeheartbeat.com/london/Copyright © William El Kaim 2016 105
  106. 106. Map For Transport Commuting in UK http://maps.cdrc.ac.uk/#/metrics/traveltowork/default/BTTTFTT/12/-0.1476/51.4782/, Intelligence Copyright © William El Kaim 2016 106
  107. 107. Making Data Valuable Live Data Live Dashboards and Tracking systems like Pre and Post Ticketing, Early compliance and fare check. Historical Data Big Data: Data Mining, Reporting, and Benchmarking, Forecasting Copyright © William El Kaim 2016 107
  108. 108. VBB Real-time Map http://fahrinfo.vbb.de/bin/help.exe/dn?L=vs_mobilitymap&tpl=fullmap&tabApp=showCopyright © William El Kaim 2016 108
  109. 109. Waze https://www.waze.com/ Copyright © William El Kaim 2016 109
  110. 110. Waze Live Map https://www.waze.com/fr/livemapCopyright © William El Kaim 2016 110
  111. 111. OuiHop (Ride Sharing) and Waze Source: OuiHOpCopyright © William El Kaim 2016 111
  112. 112. http://corp.smartaxi.me/ Copyright © William El Kaim 2016 112
  113. 113. DownloadCopyright © William El Kaim 2016 113
  114. 114. Tunnel Vision NYC Tunnel Vision Uses Augmented Reality to Animate NYC Subway Maps. Copyright © William El Kaim 2016 114
  115. 115. Airports Misery Map http://fr.flightaware.com/miserymap/Copyright © William El Kaim 2016 115
  116. 116. Train Misery Map by CrowdSourcing http://www.raildar.fr/ If you do not open your data, the crowd will do it for you! Copyright © William El Kaim 2016 116
  117. 117. Train Maps by SNCF http://www.sncf.com/fr/geolocalisationCopyright © William El Kaim 2016 117
  118. 118. Hyper-Relality https://vimeo.com/166807261Copyright © William El Kaim 2016 118
  119. 119. Making Data Valuable Forecast Data Ad-hoc advanced analytics or for pro-active information generation through information cards (like Google Now!) Live Data Live Dashboards and Tracking systems like Pre and Post Ticketing, Early compliance and fare check. Historical Data Big Data: Data Mining, Reporting, and Benchmarking, Forecasting Copyright © William El Kaim 2016 119
  120. 120. Transit Intelligence • Given the transport data, the city data and the user context, it should be possible to optimize the city transit network. • Several companies have invented new tools, using big data and machine learning techniques. • For example: • Mobility Lab Transit Tech Initiative • Transloc • Urban Engines Copyright © William El Kaim 2016 120
  121. 121. In Search of Transit Intelligence Mobility Lab Transit Tech Initiative • Funded through a Demonstration grant by the Virginia Department of Rail and Public Transportation. • This project will provide travelers with personalized information that reflects their transit needs, pulling in the most cutting-edge trends happening at the intersection of the transportation and technology industries: • Open transport data standards such as GTFS and openstreetmap • Multimodal trip planning engines like OpenTripPlanner, and • Web-based visualization tools such as the D3 library. • The goal is to answer more fundamental questions about: • How the important places in a person’s life are connected via various travel options • How robust those connections are, and • How they fit into a larger travel decision-making context. Source: Mobility Lab Tech InitiativeCopyright © William El Kaim 2016 121
  122. 122. In Search of Transit Intelligence Mobility Lab Transit Tech Initiative • Much of the initial work has been focused on the design and development of a new transportation visualization package • Called Transitive.js, which visually articulates personalized transportation data, drawing inspiration from stylized transit maps. • Additionally, work has begun on customizing OpenTripPlanner to generate summaries of transit options. • Rather than emphasizing the details of a specific journey at a specific time of day, the project aims to build features that help people explore and contextualize transport options as a holistic system. • By showing how key places are connected, different transport options may become more easily identified as a logical part of daily routines. Source: Mobility Lab Tech InitiativeCopyright © William El Kaim 2016 122
  123. 123. In Search of Transit Intelligence Digital Matatus http://www.digitalmatatus.com/about.htmlCopyright © William El Kaim 2016 123
  124. 124. In Search of Transit Intelligence Path To Park http://www.pathtopark.fr/Copyright © William El Kaim 2016 124
  125. 125. In Search of Transit Intelligence Snips http://snips.net/ Copyright © William El Kaim 2016 125
  126. 126. In Search of Transit Intelligence Transloc http://transloc.com/Copyright © William El Kaim 2016 126
  127. 127. In Search of Transit Intelligence Urban Engines • Without embedding any sensors in the subway or video cameras watching the platforms, Urban Engines can tell: • things like how long commuters were waiting, how many trains went by that were so full commuters couldn’t get on and what the volume of each train car was throughout the day. • It only needs the data from when the commuter enters and exits the station, and by knowing the aggregate of all the commuter data at the same time, it can infer how the system is operating. • Essentially, Urban Engines is taking the smallest and cleanest amount of data possible to map out the entire public transportation network. • Could be used also inside airports or in any place where mobility could be tracked • https://www.urbanengines.com/ Source: GigaomCopyright © William El Kaim 2016 127
  128. 128. In Search of Transit Intelligence Urban Engines Video Copyright © William El Kaim 2016 128
  129. 129. In Search of Transit Intelligence Urban Engines Source: GigaomCopyright © William El Kaim 2016 129
  130. 130. In Search of Transit Intelligence Urban Engines Source: GigaomCopyright © William El Kaim 2016 130
  131. 131. In Search of Transit Intelligence Urban Engines Source: GigaomCopyright © William El Kaim 2016 131
  132. 132. In Search of Transit Intelligence iGeolise: MultiModal and Time Series - http://www.igeolise.com/Copyright © William El Kaim 2016 132
  133. 133. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data Platform And Ecosystems • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 133
  134. 134. What is a Platform? Source: Platform Thinking Across all platforms, we observe the following 3 layers Every platform is a different configuration of this stack Copyright © William El Kaim 2016 134
  135. 135. What is a Platform? • A platform is a foundational product that moves beyond product status by encouraging others to build, play, and/or iterate on top of it. • Platforms are shared innovation engines that outsource the costly and uncertain discovery process. • Many platforms today are 100% software, but they don’t have to be. • Users are building businesses on the back of the platform, and in some cases changing how they operate in order to better serve the platform. Source: Aaron Dignan Medium blog Post Move from a platform a company builds upon to a platform the world builds upon! Copyright © William El Kaim 2016 135
  136. 136. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data Platform And Ecosystems • Transport Platforms • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 136
  137. 137. Transport Platforms • AllTransit • A-mano • BestMile • Catalogue • Chouette by Cerema • Cityzendata • Conveyal • ITO • Predix by GE • Sentiance • Swiftly • TransitLand by Mapzen • W3C Big Data Transport Platform Copyright © William El Kaim 2016 137
  138. 138. Platform: AllTransit http://alltransit.cnt.org/about/Copyright © William El Kaim 2016 138
  139. 139. Platform: A-Mano Geolocalised Platform In-Situ http://www.a-mano.fr/Copyright © William El Kaim 2016 139
  140. 140. Platform: BestMile https://bestmile.com/Copyright © William El Kaim 2016 140
  141. 141. Platform: Catalogue http://www.catalogue.global/Copyright © William El Kaim 2016 141
  142. 142. Platform: Chouette http://appli.chouette.mobi/chouette2/Copyright © William El Kaim 2016 142
  143. 143. Platform: CitizenData http://www.cityzendata.com/ Copyright © William El Kaim 2016 143
  144. 144. Platform: Conveyal http://conveyal.com/Copyright © William El Kaim 2016 144
  145. 145. Platform: ITO http://www.itoworld.com/products/public-transport-data/Copyright © William El Kaim 2016 145
  146. 146. Platform: GE Predix for The Industrial Age https://www.gesoftware.com/platformCopyright © William El Kaim 2016 146
  147. 147. Platform: Sentiance https://www.sentiance.com/mobility/Copyright © William El Kaim 2016 147
  148. 148. Platform: Swiftly https://goswift.ly/ Copyright © William El Kaim 2016 148
  149. 149. Platform: TransitLand https://mapzen.com/blog/feed-registry/Copyright © William El Kaim 2016 149
  150. 150. Platform: Xerox Transportation (GoLA) http://golaapp.com/Copyright © William El Kaim 2016 150
  151. 151. Platform: W3C Big Data Transport Group https://www.big-data-europe.eu/transport/Copyright © William El Kaim 2016 151
  152. 152. Other Examples https://www.blablacar.fr/ http://www.kelbillet.fr/ Copyright © William El Kaim 2016 152
  153. 153. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data Platform And Ecosystems • Ecosystems and APIs • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 153
  154. 154. Ecosystems are created Through APIs The new digital, networked, real-time society forces us to start thinking and acting as an ecosystem. Ecosystems are developed using platforms to glue services via API and funds to encourage startups and partners to hook in Source: PWC, Exploiting the growing value from information Establishing a platform in the center of a robust digital ecosystem requires a digital operating model, one that is appropriately permeable to third parties that can co-create new value from what a company and others have to offer. The value and utility of the system is continually being discovered and expanded not just by the organization, but by its users and customers. Copyright © William El Kaim 2016 154
  155. 155. Target the Developers With API! http://data.explore.star.fr/explore/Copyright © William El Kaim 2016 155
  156. 156. Three types of public transport APIs 1. The first is created by volunteers who just scrape the data. As the API creators are also the reusers, the format and vocabulary for their responses and resources are often custom made for their specific use case. • Examples: Swiss Public Transport API, Belgium iRail 2. A second type of APIs are the ones created by data owners or the transport companies themselves. • They are set up in order to stimulate reuse for use cases they have in mind. The problem with these APIs is that often there are rate limits; it is hard to get through the user agreements; they have awkward SOAP/XML constructions; and they don't follow existing specifications such as SIRI or GTFS-realtime.” • Examples: Dutch Railways, French National Railways Source: ProgrammableWebCopyright © William El Kaim 2016 156
  157. 157. Three types of public transport APIs 3. A third type of APIs are the ones created by a consortium of reusers and the data owner. • The API comes to exist after different people with different use cases are putting forward some resources they need, when they also add how the response should look like, and maybe help build these APIs on top of Open Data. • Examples: Bliksem Labs, Navitia, OpenTripPlanner Source: ProgrammableWebCopyright © William El Kaim 2016 157
  158. 158. API: Stichting OpenGeo (Netherlands) http://opengeo.nl/Copyright © William El Kaim 2016 158
  159. 159. API: TransportAPI • The TransportAPI has about 600 developers, and while initial growth focused on smartphone apps, it is seeing greater uptake among hyperlocal applications offered by larger enterprises. • Becoming a data aggregator is one approach to commercialization that may suit some developers. For Transport API, the opportunities to service new markets is continually growing. • Commercial API license model has drawn in hyperlocal customers like ScreachTV and Toothpick • It is also servicing large government authorities and global franchises operating in the U.K. • Heathrow airport populating their kiosk screens and websites. Copyright © William El Kaim 2016 159
  160. 160. API: TransportAPI http://transportapi.com/Copyright © William El Kaim 2016 160
  161. 161. API: TransportAPI Copyright © William El Kaim 2016 161
  162. 162. API: Metropolitan Transit Auth. of New York • The Metropolitan Transit Authority of New York (MTA) provides the MTA API for access to New York’s subway and bus GTFS data feeds. • A new policy will require developers to register for an API key before being granted access to the API data. • Since the MTA began publishing its open data in 2008, over 200 mobile apps using MTA data have been launched by the developer community • MTA’s terms and conditions of use require developers “to download and host the data on the developer's or a third party's server and to make the data available to others who will access the server provided by the developer.” (Original emphasis in the terms and conditions.) Source: ProgrammableWebCopyright © William El Kaim 2016 162
  163. 163. API: MTA & Developers MTA Developers Discussions Copyright © William El Kaim 2016 163
  164. 164. API: Queensland Australia • The state of Queensland, in Australia, has responsibility for managing public transport services for its cities, including Brisbane. • Its Department of Transport and Main Roads’ TransLink division has released the OPIA API, which strongly recommends that developers build their own server-side service that wraps the TransLink API and to use caching of all data except the data needed for immediate journey planning. Source: ProgrammableWebCopyright © William El Kaim 2016 164
  165. 165. API: TransitCast • Writing an API on top of existing APIs, perhaps by augmenting additional information, is definitely a viable business model. • This is the approach TransiCast has taken: • specialized in aggregating transit data across North America • working on curating public transportation data access on GoogleTransitDataFeed since 2006, with no association with Google • Out of the 300 feeds covered, about 20 require API keys, and they keep those as issued by the agency to developers, to place calls to the agency web services • Use Google App Engine (GAE) Source: ProgrammableWebCopyright © William El Kaim 2016 165
  166. 166. API: TransitCast http://transicast.com/Copyright © William El Kaim 2016 166
  167. 167. API: City Service Dev. Kit • Co-funded by the European Union, developer-facing API design-model that hopes to become a standard across European cities http://www.citysdk.eu/Copyright © William El Kaim 2016 167
  168. 168. API: Others • TriMet in Portland waqs one of the first having implemented GTFS and real- time feeds and have a host of experience • Use Microsoft Azure • Transport for London has pioneered the bulk delivery of real-time data as well as targeted real-time APIs at large scale. • Use Microsoft Azure • Navitia.io is an emerging open source API platform for public transport data. • Contributors are being invited to upload transport data to the platform for their cities, and six cities are already available. • The API provides a common transit glossary so that developers can scale applications for cities using the same resource calls. Source: ProgrammableWebCopyright © William El Kaim 2016 168
  169. 169. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data Platform And Ecosystems • EU Projects, funds and Accelerators • Multimodal Door To Door • Conclusions Copyright © William El Kaim 2016 169
  170. 170. EPOMM: European Platform on Mobility Mgt. http://www.epomm.eu/Copyright © William El Kaim 2016 170
  171. 171. EU Funded Mobility Projects • CitySDK: “service development kit” for cities and developers that aims at harmonizing application programming interfaces (APIs) across cities. • Compass4D: Services to increase drivers' safety and comfort by reducing the number and severity of road accidents, as well as by optimizing the vehicle speed at intersections and by possibly avoiding queues and traffic jams. • EDITS: European Digital Traffic Infrastructure Network for Intelligent Transport Systems • Fi-WARE: build an open sustainable ecosystem around public, royalty-free and implementation-driven software platform standards that will ease the development of new Smart Applications in multiple sectors”. • HeERO: Harmonized eCall European Pilot • TEAM: Tomorrow’s Elastic Adaptive Mobility. It turns static into elastic mobility by joining drivers, travellers and infrastructure operators together into one collaborative network. • Mobinet: platform providing components and tools that enable interactions between users and suppliers of mobility services. MOBiNET e-marketplace allows content and service providers to exchange transport and mobility services for new or third-party service development. • MobiS: promoting Smart Mobility to Employees. • SIMPLI-CITY: The Road User Information System of the Future. • Wisetrip: multi-modal journey planning and on-trip assistanceespecially where disruptions occur. Copyright © William El Kaim 2016 171
  172. 172. Mobinet • MOBiNET provides: • A comprehensive Europe-wide directory of mobility and transport-related data and services • An e-marketplace as an e-commerce network linking content providers, service providers and end users • Traveller assistance tools for service roaming and virtual ticketing • Third-party service composition to discover and add content and services to existing products • An “App Directory” and smart Communication Manager for end-user devices • A Service Development Kit to enable easy creation of new user services http://www.mobinet.eu/Copyright © William El Kaim 2016 172
  173. 173. Platform: Simpli-City • Mobility Service Framework • A next-generation European-wide service platform allowing the creation of mobility- related services as well as the creation of corresponding Apps. • This will enable third party providers to produce a wide range of interoperable, value- added services, and Apps for road users. • Mobility-related Data as a Service • A framework for the integration of various different data sources like sensors, cooperative systems, telematics, open data repositories, people-centric sensing, and media data streams, so that these data can be accessed and utilised in a unified way. • Personal Mobility Assistant • An end user assistant that allows road users to make easily use of the information provided by Apps and to interact with them based on a speech recognition approach. http://www.simpli-city.euCopyright © William El Kaim 2016 173
  174. 174. Simpli-City http://www.simpli-city.euCopyright © William El Kaim 2016 174
  175. 175. http://www.ecomobilite-ventures.com/en/ European Fund Copyright © William El Kaim 2016 175
  176. 176. EU funded Multi-modal Journey Planner • 28 submissions of journey planners, out of which 12 were shortlisted. SourceCopyright © William El Kaim 2016 176
  177. 177. EU-wide Multi-Modal Travel Information EU-wide Real-Time Traffic information Free safety-related minimum Traffic Info Interoperable EU-wide eCall EU ITS Directive Copyright © William El Kaim 2016 177
  178. 178. EU funded Multi-modal Journey Planner Copyright © William El Kaim 2016 178
  179. 179. EU Consortium: AlwaysTravelling • All Ways Travelling (AWT) is an Amadeus-led consortium • Comprised of BeNe Rail, IATA, Thales, UNIFE and Zeppelin University. • It has been appointed by the European Commission (Mobility and Transport Directorate) to develop and validate a model for a multimodal pan-European passenger transport information and booking system. http://www.allwaystravelling.eu/Copyright © William El Kaim 2016 179
  180. 180. European Accelerator: Plateforme des Mobilités http://lafabriquedesmobilites.fr/en/home-2/Copyright © William El Kaim 2016 180
  181. 181. Paris Accelerator: Welcome City Lab http://www.welcomecitylab.com/Copyright © William El Kaim 2016 181
  182. 182. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems Multimodal Door To Door • Concepts / platforms • Conclusions Copyright © William El Kaim 2016 182
  183. 183. Traveler journey before Source: World Economic Forum/The Boston Consulting Group analysis Copyright © William El Kaim 2016 183
  184. 184. MultiModal is the new Paradigm! Door to Door, from A to B, … • Travel today is more than just station to station; it is about door-to-door connectivity, thus giving rise to new market players offering integrated various modes to travel. Source: Frost and SullivanCopyright © William El Kaim 2016 184
  185. 185. MultiModal is the new Paradigm! • Definition • From an origin and a destination and a set of optimization criteria to get one or more routes combining different transport modes. • This definition is now “extended” • And provide in-mobility real time information and advices for a seamless journey and reducing • Travel time • Traveler stress • City congestion and pollution • Etc. • Could be used to promote certain mode of transportation and to analyze the demand by transportation operators. Copyright © William El Kaim 2016 185
  186. 186. MultiModal is the new Paradigm! • Majors steps for providers : • Geocoding (and positioning positions in a graph) • Route calculation (shortest path, or best path using different weights) • Presentation of the results (biasing, filtering) • Real-time Route directions (step by step) and alerts • Aggregation of data and analysis Copyright © William El Kaim 2016 186
  187. 187. From Travel to Mobility: Multimodal & Door to Door Image from http://mobilitylab.org/tech/transit-tech-initiative/https://citymapper.com/ Copyright © William El Kaim 2016 187
  188. 188. Mobility: Multimodal & Door to Door • Multimodal is a way to combine metro (subway), train, bus, bicycle, walk or car to go from one place to another. • The other terminology used is "door to door", in that case, you have to add taxi and black car (car with chauffeur). • Some important distinctions should be noted when speaking of multimodal search: • Planning vs.. Booking: some routing includes prices some not • Routing could be based on actual timetables or only on approximate ones • For example some do not use actual timetables (they use information like: 'one train every hour' and might then be wrong by up to an hour), most others do. • Multimodal is emerging mainly due to the high speed train network, but also to reduce CO2 emission. So they are generally also taken into account as search parameters. Copyright © William El Kaim 2016 188
  189. 189. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems Multimodal Door To Door • Open Source Journey Planer Platforms • Conclusions Copyright © William El Kaim 2016 189
  190. 190. Open Source Multimodal Platforms • In general contains a multi-modal trip planner engine (also called routing engines), a web/mobile front-end and a cartography service. • OpenTripPlanner and R4 • EU funded Multi-modal Journey Planner • GraphServer, Navitia, Open Source Routing Machine (OSRM) • Research projects: Path2Go, Synthese. • Also: • Mumoro is Library that aims to provide multimodal routing • D3.js a JavaScript library for manipulating documents Copyright © William El Kaim 2016 190
  191. 191. Algorithms Used • In 1959, Dijkstra published the first algorithm. • Tree of minimum total length between n nodes • In 1987, the algorithm was improved by Tarjan. • But still not efficient enough for computer available at that time • In 2005, a challenge organised by Dimacs lead to the modern version of the algorithm. • The Karlsruhe Institute of Technology did provide several very efficient ones • In 2008, Geisberger proposed the “ Contraction Hierarchies ” algorithm • Faster and simpler for route calculation, used by OSRM • In 2012, Daniel Delling from Microsoft Research proposed RAPTOR • The algorithm is the one used by Navitia • In 2013, the “connection scan algorithm” was released improving Raptor From Tristram Grabener blog (in French)Copyright © William El Kaim 2016 191
  192. 192. OpenTripPlanner • Manage walking, mass transit, bike sharing, and car sharing on an open source platform for iOS 6 that cities and individuals can help design. • The app was created by a non-profit technology organization, OpenPlans, and will be raising contributions on Kickstarter • OpenPlans Transportation: http://transportation.openplans.org/ Copyright © William El Kaim 2016 192
  193. 193. http://www.opentripplanner.org/Copyright © William El Kaim 2016 193
  194. 194. Rapid Real-time Routing • RRRR (usually pronounced R4) is a C-language implementation of the RAPTOR public transit routing algorithm. • https://github.com/bliksemlabs/rrrr • Project from the developers of OpenTripPlanner • The goal of this project is to generate sets of Pareto-optimal itineraries over large geographic areas (e.g. BeNeLux or all of Europe), improving on the resource consumption and complexity of existing more flexible alternatives. • It is the core routing component of the Bliksem journey planner and passenger information system. • The system should eventually support real-time vehicle/trip updates reflected in trip plans and be capable of running directly on a mobile device with no Internet connection. Copyright © William El Kaim 2016 194
  195. 195. CitiWay http://www.cityway.company/Copyright © William El Kaim 2016 195
  196. 196. Navitia 2.0 (Open Source) https://github.com/CanalTP/navitia 1.multi-modal journeys computation 2.line schedules 3.next departures 4.explore public transport data 5.sexy things such as isochrones Copyright © William El Kaim 2016 196
  197. 197. Graphserver • Graphserver is a multi-modal trip planner. Graphserver supports transit modes through GTFS, and street-based modes through OSM. • The core graphserver library has Python bindings which provide easy construction, storage, and analysis of graph objects. http://graphserver.github.com/graphserver/Copyright © William El Kaim 2016 197
  198. 198. Open Source Routing Machine (OSRM) • C++ implementation of a high-performance routing engine for shortest paths in road networks. • Combines sophisticated routing algorithms with the open and free road network data of the OpenStreetMap (OSM) project. http://project-osrm.org/ and http://map.project-osrm.org/Copyright © William El Kaim 2016 198
  199. 199. Mobility Lab Tools https://github.com/conveyal/modeifyMobility Lab Copyright © William El Kaim 2016 199
  200. 200. MUltiModal MUltiObjective ROuting • Mumoro is a research project • Library aims to provide multimodal routing: combining subway, walking and bike. • It is also multiobjective: it finds the best route optimizing according to time taken, mode changes, CO2 emissions etc. • https://github.com/Tristramg/mumoro/ Copyright © William El Kaim 2016 200
  201. 201. Path2Go http://www.networkedtraveler.org/index.php?o=yCopyright © William El Kaim 2016 201
  202. 202. Synthese https://extranet.rcsmobility.com/projects/synthese/wiki Copyright © William El Kaim 2016 202
  203. 203. Mapzen Valhalla https://mapzen.com/blog/a-routing-engine-of-ones-own/Copyright © William El Kaim 2016 203
  204. 204. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems Multimodal Door To Door • Commercial Tools • Conclusions Copyright © William El Kaim 2016 204
  205. 205. Rome2Rio – MultiModal Search https://www.rome2rio.com/Copyright © William El Kaim 2016 205
  206. 206. Rome2Rio: Also a Platform Copyright © William El Kaim 2016 206
  207. 207. Ally from Door2Door.io Copyright © William El Kaim 2016 207https://www.door2door.io/
  208. 208. KDS Neo – Corporate Booking KDS NeoCopyright © William El Kaim 2016 208
  209. 209. Multimodal and door-to-door • RouteRank • Technology solutions provider providing door-to-door multimodal tool for both managed business travel and consumer travel • latest customer is the Swiss Touring Club • Offers an integrated booking solution (considers & then books the relevant fares) and a planning (only) solution. • Try to stay independent across the (corporate) booking tools and even across the online/offline divide. • RouteRank Search is multi-criteria and can take into account: productivity, risks and emissions in addition to time & fare. • Provides additional software modules like “meeting optimizer”, “accommodation optimizer”, etc. • Offers customizable integration through portal with SSO, iframe, widget, App, API. Copyright © William El Kaim 2016 209
  210. 210. RouteRank http://www.routerank.com/fr/Copyright © William El Kaim 2016 210
  211. 211. Copyright © William El Kaim 2016 211
  212. 212. SMILE http://smile-einfachmobil.at/index_en.htmlCopyright © William El Kaim 2016 212
  213. 213. Source: Sia PartnersCopyright © William El Kaim 2016 213
  214. 214. Multimodal and door-to-door Major web sites and apps • TravelStoreMaker • Bulgaria-based TravelStoreMaker has developed software that supports the planning of complex itineraries across multiple modes of travel, with content coming from many sources • Wanderio • Door-to-door multimodal tool used for B2C (Air, Rail, Bus, and car) • Use Rome2Rio • FromAtoB • Door-to-door multimodal tool used for B2C (Air, Rail, Bus, and car) Copyright © William El Kaim 2016 214
  215. 215. Multimodal and door-to-door Regional offer • Europe • GoEuro • Multimodal (Air, Rail, Bus), but not door-to-door (only at city, town and village level) • MyTripSet • From Voyages-sncf: Air, Car, Train • Waymate • Multi-modal search (Air, Rail, Bus, car), but not yet door-to-door. • USA • HopStop (bought by Apple) • US local door-to-door and transit transportation • Now offering some other countries and cities … Copyright © William El Kaim 2016 215
  216. 216. Multimodal ground transportation • Kelbillet • French multimodal search engine that indexes fares for trains, buses, airplanes, cars, and rideshares. It’s aimed at French travelers taking domestic and short-haul trips. • Loco2 • UK multimodal train only search engine in Europe within thousands of European destinations. • Wanderu • Ground transport metasearch website that helps travelers find and book inter-city bus and train travel in the USA. • Mozio • From and to Airport, mainly cab and shared bus. Copyright © William El Kaim 2016 216
  217. 217. Multimodal search - France Initiative • France is launching a project to create a nation-wide multimodal search engine by 2015 • Initiative from french gov. agency named: « Agence française pour l’information multimodale et la billettique (Afimb) » and with • Transportation Agency: Groupement des autorités responsables de transport (Gart) • French Regions : Association des régions de France (ARF). • Objective • Find an itinerary in France using: plane, train, car, metro, tramway, bus, bycicle, car sharing and Taxi • A technical report to be published in 2014 and realised by Moviken • Then a call for proposal for making it real for 2015 Source : MobilicitéCopyright © William El Kaim 2016 217
  218. 218. Multimodal search By Geography • Country Based • India: MakeMyTrip RoutePlanner covers 1 billion multi-modal routes and provides service via Web, mobile apps and even SMS • France: GeoVelo, Mappy, Wehicles • Germany: Qixxit / AllRyder (mobile only from WayMate) / HAFAS from Hacon • Great Britain – TransportDirect • Netherlands: http://9292.nl/en • Map makr • Country Region Based • Simplicim (Lorraine France) for EU itinerary • StationMobile (Grenoble France) Copyright © William El Kaim 2016 218
  219. 219. Multimodal Search - By Geography • City based • City Mapper: London, NYC, Paris, Berlin • Moovit: several cities in Europe, USA, Israel, etc. • Side-by-side router - compare routes for driving, biking, walking, and transit Copyright © William El Kaim 2016 219
  220. 220. https://citymapper.com/ CityMapper Copyright © William El Kaim 2016 220
  221. 221. Copyright © William El Kaim 2016 221
  222. 222. Examples Tools Possible Classification B2B B2C What’s your need? Multimodal Door-to-door Integrated Booking Planning Only Redirect to suppliers KDS Neo RouteRank Rome2Rio Multimodal Door-to-door Integrated Booking Planning Only myTripSets MakeMyTrip Wanderio FromAtoB CityMapper Moovit Copyright © William El Kaim 2016 222
  223. 223. Plan • The Smart Mobility Era • The Rise Of New Mobility Actors • Open Data in Transport • The Quest for Schedules and Real-time Transport Data • Transit Applications • Smart City Data and API • Managing Transport Open Data • Platform And Ecosystems • Multimodal Door To Door Conclusions Copyright © William El Kaim 2016 223
  224. 224. Copyright © William El Kaim 2016 224
  225. 225. Multimodal Door-To-Door is the future of mobility • Door-to-door app are starting on the lower-end of the market offering local mobile transit information and now booking. • Then, with time, they will grow and target the major cities, then some key regions and all transports mode. • These companies are looking for growth, targeting the major revenue niches • Multimodal Search and online booking, real time transportation data will merge to create new kind of virtual mobility assistant: The IPITA Copyright © William El Kaim 2016 225
  226. 226. Next: An Example of The Future of Mobility http://www.next-future-mobility.com/Copyright © William El Kaim 2016 226
  227. 227. Resources • Reports • Frost & Sullivan’s Future of Mobility—New Business Models, Opportunities, and Market Entrants in Mobility Integration (slideshare) • Future of mobility video teaser (youtube) • Connected World – Transforming Travel, Transportation and Supply Chains, World Economic Forum. • The smart mobility management review. • Re-programming Mobility: The Digital Transformation of Transportation in the United States • Big Data and analytics examples • Experimentation in a Ridesharing Marketplace by Lyft • Engineering intelligence through data visualization at UBER • Mining open datasets for transparency in taxi transport in metropolitan environments Copyright © William El Kaim 2016 227
  228. 228. Twitter http://www.twitter.com/welkaim SlideShare http://www.slideshare.net/welkaim EA Digital Codex http://www.eacodex.com/ Linkedin http://fr.linkedin.com/in/williamelkaim Claudine O'Sullivan Copyright © William El Kaim 2016 228

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