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EASY TRAVEL
“Better three hours too soon than a minute too late.”
-William Shakespeare.
Team Members
• Adeel Shah
• Ibadullah Khan
• Muhmmad
• Usama Abubakar
Literature Review
• Sunil et al (2014) proposed Dynamic Bus Time-table Using GPS.
1. used machine learning algorithms to predict the real time location.
2. only predicts the location and does not display the accurate
location on map.
• Kiran Karan proposed College Bus Tracking.
1. Made use of Google maps.
2. Incomplete and not scalable.
Our Implementation
• Inspired from Uber and Careem approach.
• Used driver’s phone as a tracker.
• Also provide the approximate arrival time from location.
• Used world most efficient database i.e Firebase.
Methodology
• Planning
• Name of Software ‘Easy Travel’
• Discussed with Supervisor
• Discussed some of the functionalities
• Analysis
• Researched existing softwares
• Problems in existing softwares.
• What should be the requirements
Methodology (Conti.)
• Design
• First prototype developed in first loop (Android and Web)
• Second prototype after design evaluation and changes suggested
• Database Design (Firebase)
• Implementation
• Deployed prototype and implemented in real world
• Back end implementation according to requirements
• Testing
• Re-check all the functionalities.
• Evaluation
• - Flexibility
Features
• Sign In as Passenger.
• Sign In as Driver.
• Driver Location Toggle.
• Search Bus By category.
• Search All Bus.
• Real-Time location changing by Firebase.
• Bus Estimated Time to Reach.
• Bus Driver’s Info.
Features (Cont.)
• Modify Bus Driver’s account.
• Synchronized with Web Server.
• Admin Workspace.
• Admin Lookout for all Driver’s Info and Location.
Work Distribution
Dashboard
Registration
• Driver • Passenger
Login
• Driver • Passenger
Map Screens
• Driver • Passenger
Web Interface
Contact
To buy this project, mail me at
ibad3333@gmail.com
Or
k152122@nu.edu.pk

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Public Bus Tracking System EzTravel

  • 1. EASY TRAVEL “Better three hours too soon than a minute too late.” -William Shakespeare.
  • 2. Team Members • Adeel Shah • Ibadullah Khan • Muhmmad • Usama Abubakar
  • 3. Literature Review • Sunil et al (2014) proposed Dynamic Bus Time-table Using GPS. 1. used machine learning algorithms to predict the real time location. 2. only predicts the location and does not display the accurate location on map. • Kiran Karan proposed College Bus Tracking. 1. Made use of Google maps. 2. Incomplete and not scalable.
  • 4. Our Implementation • Inspired from Uber and Careem approach. • Used driver’s phone as a tracker. • Also provide the approximate arrival time from location. • Used world most efficient database i.e Firebase.
  • 5. Methodology • Planning • Name of Software ‘Easy Travel’ • Discussed with Supervisor • Discussed some of the functionalities • Analysis • Researched existing softwares • Problems in existing softwares. • What should be the requirements
  • 6. Methodology (Conti.) • Design • First prototype developed in first loop (Android and Web) • Second prototype after design evaluation and changes suggested • Database Design (Firebase) • Implementation • Deployed prototype and implemented in real world • Back end implementation according to requirements • Testing • Re-check all the functionalities. • Evaluation • - Flexibility
  • 7. Features • Sign In as Passenger. • Sign In as Driver. • Driver Location Toggle. • Search Bus By category. • Search All Bus. • Real-Time location changing by Firebase. • Bus Estimated Time to Reach. • Bus Driver’s Info.
  • 8. Features (Cont.) • Modify Bus Driver’s account. • Synchronized with Web Server. • Admin Workspace. • Admin Lookout for all Driver’s Info and Location.
  • 12. Login • Driver • Passenger
  • 13. Map Screens • Driver • Passenger
  • 15. Contact To buy this project, mail me at ibad3333@gmail.com Or k152122@nu.edu.pk