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.