URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach

•

0 recomendaciones•23 vistas

URBANITE was presented jointly with URBANAGE, DECIDO and PolicyCLOUD projects in Data Week 2022 in session: Disruptive technologies empowering decision-making in the public sector.

Tecnología

IN COLLABORATIONWITH:
Urbanite
Decision making in the urban
transformation field using disruptive
technologies and a participatory
approach
Ignacio Olabarrieta TECNALIA

Facilitate the policy decision-making processes in the context of
mobility and urban transformation with a scalable, integrated and
modular ICT ecosystem built upon disruptive technologies
Urbanite
Objective:
Use Cases:
Partners:

Technologies
Traffic Simulation:
Microscopic traffic modelling
Enables analysisof traffic flows,
congestions, publictransport, bicycles
• Traffic network
• Population plans
• Vehicles
• Public transport

Optimization
Technologies
Visualization Confidence Methods:
Data Cleaning
Big Data
Noise Simulation
Regression Methods

Use Case
Data:
• GTFS
• Smart Data Card
• Sensor Information -> For calibration
• Weather
• Calendar
• Events

Use Case
The closure of the Moyua square for private car traffic.
Data:
• Road Network -> OSM
• OD Matrix
• PopulationInformation
• Traffic Counts
• Weather
• Calendar
• Events
• School , business, locationsother...
• Information about Public transportation

Más contenido relacionado

Similar a URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach

Studying Migrations Routes: New data and Tools

Istituto nazionale di statistica

inLab FIB Presentation at ICT2013EU

inLabFIB

Intelligent Transportation Systems for a Smart City

Charles Mok

The role of open data in driving sustainable mobility in nine smart cities

Piyush Yadav

Asia-Pacific: smart mobility for the public sector with Orange

Orange Business Services

Bria Francesca. BCN Open Source, Agile Digital Transformation strategy

Francesca Bria

The growing competition for smart cities is one of the major areas of investment by developing and developed economies. Whether the investment is in human capital, social capital and/or ICT infrastructure, the basic concept of a smart city is to create a sustainable balance between economic development and high quality of life by excelling in multiple key areas; economy, mobility, environment, people, living, and government. There are number of views for an ideal Smart City, however the presentation aims to highlight the common challenges the cities in the Middle East face and potential next steps. The main areas of focus will be as follows: • Importance of clear implementation strategy – In absence of a set or pre-defined road map for a Smart City, the necessary steps depend on basics of cities' clear vision, determination, dedicated resources and delegation of responsibilities. • Stakeholders’ alignment – Involvement of right stakeholders and most importantly alignment of their priorities makes a major difference. • Synergy between sectors - Although the intention to cooperate is there, other interests are often given priority in practice. How to have a synergetic approach? • Function of ICT - Nearly everyone agrees that technology is not the problem on the road to smarter cities. Still, there are some technical challenges, like linking data across domains, implementation and control. • Behavioural change - Human behaviour is far more difficult to understand and to change than technology. It is important to understand the social context first. • Traditional Transport models –Would the standard 4-step models fit in practice within a Smart City context? Or should there be a shift towards intelligent and more real-time mobility models?

Challenges and future of Smart cities and its impact on traffic models in the...

Kevin Sam MCIHT

Smart Cities and Smarter Transport: Urban mobility and access in the ICT-era

Chartered Institute of Logistics and Transport (International)

Open Data policy implementations: Creating economic value

Angeles Navarro Rueda

FIWARE Tech Summit - City Enabler - Changing the Way to Give Value to Your Da...

FIWARE

Sustainable Communities Through Intelligent Information: Harnessing the Power...

GovLoop

Open source, Agile Digital transformation BCN

Francesca Bria

Locations big data its

GeoMedeelel

CK2017: Leveraging Open and Standardized Data for Land-Use and Transportation...

WRI Ross Center for Sustainable Cities

Inadequate space and funds for the construction of new roads and the steady increase in number of vehicles has prompted scholars to investigate other solutions to traffic congestion. One area gaining interest is the use of smart traffic control systems (STCS) to make traffic routing decisions. These systems use real time data and try to mimic human reasoning thus prove promising in vehicle traffic control and management. This paper is a review on the motivations behind the emergence of STCS and the different types of these systems in use today for road traffic management. They include – fuzzy expert systems (FES), artificial neural networks (ANN) and wireless sensor networks (WSN). We give an in depth study on the design, benefits and limitations of each technique. The paper cites and analyses a number of successfully tested and implemented STCS. From these reviews we are able to derive comparisons of the STCS discussed in this paper. For instance, for a learning or adaptive system, ANN is the best approach; for a system that just routes traffic based on real time data and does not need to derive any data patterns afterwards, then FES is the best approach; for a cheaper alternative to the FES, then WSN is the least costly approach. All prove effective in traffic control and management with respect to the context in which each of them is used.

Techniques for Smart Traffic Control: An In-depth Review

Editor IJCATR

James Wong - Open data in transport, St.Petersburg

Open City Foundation

Open Source and inter-operable tools to • keep city under control via personalized dashboards • monitoring services’ status of city operators • monitoring and understanding the city users behaviour • collecting moods, contributions and data from the city users • monitoring social media for city services and events, event predictions • improve city resilience, reducing risks and decision support by: • assessing city resilience level • improving city resilience, providing objective hints • improving city users awareness with personal city assistants and participatory tools • transform data in value for the city: • enabling commercial and business applications • aggregating multi-domain data and services for SMEs and city operators • enabling integrated city services into third party web portal for all • providing suggestion on demand services for SMEs and city operators • accelerating and simplifying the implementation of business and service oriented Apps Follow the Km4City City Smartener Process

Km4City: how to make smart and resilient your city, beginner document

Paolo Nesi

Arpan pal tac tics2012

Arpan Pal

Intelligent Transportation System

SrikanthRenikunta

FIWARE Global Summit - Snap4City (IoT): Integrating Data and Devices

FIWARE

Similar a URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach (20)

Studying Migrations Routes: New data and Tools

inLab FIB Presentation at ICT2013EU

Intelligent Transportation Systems for a Smart City

The role of open data in driving sustainable mobility in nine smart cities

Asia-Pacific: smart mobility for the public sector with Orange

Bria Francesca. BCN Open Source, Agile Digital Transformation strategy

Challenges and future of Smart cities and its impact on traffic models in the...

Smart Cities and Smarter Transport: Urban mobility and access in the ICT-era

Open Data policy implementations: Creating economic value

FIWARE Tech Summit - City Enabler - Changing the Way to Give Value to Your Da...

Sustainable Communities Through Intelligent Information: Harnessing the Power...

Open source, Agile Digital transformation BCN

Locations big data its

CK2017: Leveraging Open and Standardized Data for Land-Use and Transportation...

Techniques for Smart Traffic Control: An In-depth Review

James Wong - Open data in transport, St.Petersburg

Km4City: how to make smart and resilient your city, beginner document

Arpan pal tac tics2012

Intelligent Transportation System

FIWARE Global Summit - Snap4City (IoT): Integrating Data and Devices

Más de URBANITEProject

presentacion final evento bruselas v4.pdf

URBANITEProject

DataWeek 2023 Participatory data for innovation - URBANITE v3.pdf

URBANITEProject

EURegionsWeek_2022_slides_templates_1.pdf

URBANITEProject

Nuevas tecnologías para la planificación de la movilidad urbana. URBANITE

URBANITEProject

Smart Mobility Lab como herramienta de innovación para movilidad inteligente ...

URBANITEProject

Urbanite vision short

URBANITEProject

DGA Urbanite

URBANITEProject

Future Mobility Day - URBANITE

URBANITEProject

Más de URBANITEProject (8)

presentacion final evento bruselas v4.pdf

DataWeek 2023 Participatory data for innovation - URBANITE v3.pdf

EURegionsWeek_2022_slides_templates_1.pdf

Nuevas tecnologías para la planificación de la movilidad urbana. URBANITE

Smart Mobility Lab como herramienta de innovación para movilidad inteligente ...

Urbanite vision short

DGA Urbanite

Future Mobility Day - URBANITE

Último

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

Evaluating the top large language models.pdf

ChristopherTHyatt

Histor y of HAM Radio presentation slide

vu2urc

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

GenAI Risks & Security Meetup 01052024.pdf

lior mazor

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

Scaling API-first – The story of a global engineering organization

Radu Cotescu

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach

1. IN COLLABORATIONWITH: Urbanite Decision making in the urban transformation field using disruptive technologies and a participatory approach Ignacio Olabarrieta TECNALIA

2. Facilitate the policy decision-making processes in the context of mobility and urban transformation with a scalable, integrated and modular ICT ecosystem built upon disruptive technologies Urbanite Objective: Use Cases: Partners:

3. Technologies Traffic Simulation: Microscopic traffic modelling Enables analysisof traffic flows, congestions, publictransport, bicycles • Traffic network • Population plans • Vehicles • Public transport

4. Optimization Technologies Visualization Confidence Methods: Data Cleaning Big Data Noise Simulation Regression Methods

5. Use Case Data: • GTFS • Smart Data Card • Sensor Information -> For calibration • Weather • Calendar • Events

6. Use Case The closure of the Moyua square for private car traffic. Data: • Road Network -> OSM • OD Matrix • PopulationInformation • Traffic Counts • Weather • Calendar • Events • School , business, locationsother... • Information about Public transportation

URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach

Recomendados

Recomendados

Más contenido relacionado

Similar a URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach

Similar a URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach (20)

Más de URBANITEProject

Más de URBANITEProject (8)

Último

Último (20)

URBANITE, Decision making in the urban transformation field using disruptive technologies and a participatory approach