Real-Time College Bus Tracking Application Designed for Hybrid Smartphones
The Real-Time College Bus Tracking Application intends to improve the travel experience of students by providing real-time, accurate bus information. The application combines GPS technology with advanced Estimated Time of Arrival algorithms that depend on real-time traffic data, dynamic optimization of routes, and patterns of the past to generate accurate predictions of when a bus will arrive at designated stops. This will mean that students will reach their destinations on time, and the uncertainty associated with travel will be eliminated, which will improve efficiency. It has a userfriendly interface, considering students with disability, meaning accessibility for all the users. Further functionality would include details about the bus location through Google Maps, information about the drivers and the buses, phone numbers, and the route details. Delays or change in the schedule will call for real-time notifications to keep communicating effectively with the students and the administration. In application, advanced filtering techniques will be incorporated, such as Kalman Filters, to solve the challenges of the implementation regarding noisy GPS data and optimal routing efficiency with predictive analysis. It leaves other existing systems behind regarding more accuracy, friendliness towards the users in navigating, and more scale adapted to the demands of institutional systems. The Real-Time College Bus Tracking Application is built with highly sophisticated algorithms, the requirement of which is also offered to make it an easily available and reliable system for the safe and easy going about daily commutes.
Authors
- Daniel W. Luke
- Pushpendra Singh (ORCID: https://orcid.org/0000-0002-7277-115X)
- Tushar Krishnan (ORCID: https://orcid.org/0000-0003-4261-0336)
- Himanshu
- Mohammed Safiullah Hussain
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956974
- Citations
- 1
- Primary Topic
- Embedded Systems and FPGA Design
- Type
- article
- Field-Weighted Citation Impact
- 1.21