Prevention and Prediction of Bus Bunching

DOI

10.2991/978-94-6463-718-2_150How to use a DOI?

Keywords

Real-time bus seat availability; ticket count data; predictive bus movement; passenger count optimization; public transit efficiency

Abstract

This paper presents a system designed to anticipate the vacancy of seats on buses in real-time using ticket count data. The system uses data about the number of tickets sold to passengers and their destinations to estimate seat availability dynamically. This enables commuters waiting at bus stops to make correct decisions about the travel and provides transit authorities with real-time insights to adjust bus frequencies and routes based on demand. Our model enhances both the passenger experience and operational efficiency by optimizing bus movements based on crowd data.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Thanga Subha Devi
AU  - T. Kavitha
AU  - K. Veeraj
AU  - H. M. Vinay
AU  - R. S. Abhijit
AU  - Nithin Shiva Vanka
PY  - 2025
DA  - 2025/05/23
TI  - Prevention and Prediction of Bus Bunching
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1816
EP  - 1827
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_150
DO  - 10.2991/978-94-6463-718-2_150
ID  - Devi2025
ER  -