University public transportation systems frequently suffer from a lack of reliable real-time information for student. This creates a situation of information asymmetry, where transit operators possess detailed operational data while passengers must make travel decisions with limited knowledge of system conditions. The OmniBus interface addresses this problem through a visual system integrating real-time vehicle tracking, predictive arrival estimates, operational status indicators, and location-based routing information.
From the standpoint of transport economics, waiting time is not simply a physical delay but a perceived cost experienced by passengers.
Passenger utility can be formally expressed as:
Where:
- U represents the user’s net utility from using the transit system.
- V represents the value derived from reaching the destination.
- C(tw) represents the perceived cost associated with waiting time (tw).
Fact: Empirical studies demonstrate that uncertain waiting is perceived as more costly than predictable waiting. By displaying a 23-minute ETA for a bus traveling to Gauhati University, the system replaces uncertainty with actionable data, directly reducing C(tw) and increasing overall utility.
- Front-End : HTML, CSS, Js
- JavaScript Framework for Integration: LeafLet
- Back-End: Python Django
- Database: Postgres SQL