Real-Time Bus Occupancy Tracking With Nearby Stop Details and Schedules Displayed Online

Vinothini S.¹ , Abinaya Shree R.² , Akshaya Devi S.³ , Sandhiya Devi G.⁴

1. Dept. of Computer Science and Business Systems,Sethu Institute of Technology, Virudhunagar, India.
2. Dept. of Computer Science and Business Systems,Sethu Institute of Technology, Virudhunagar, India.
3. Dept. of Computer Science and Business Systems,Sethu Institute of Technology, Virudhunagar, India.
4. Dept. of Computer Science and Business Systems,Sethu Institute of Technology, Virudhunagar, India.

Section:Research Paper, Product Type: Journal-Paper
Vol.12 , Issue.6 , pp.6-13, Dec-2024

Online published on Dec 31, 2024

Copyright © Vinothini S., Abinaya Shree R., Akshaya Devi S., Sandhiya Devi G. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This FLEETSMART system is an innovative solution designed to accurately monitor and manage passenger flow on buses by counting the number of individuals boarding and exiting. Utilizing advanced sensors to the system provides real-time data on passenger boarding and exiting the bus. The system displays the current count on a LED display to show current passenger counts clearly and effectively. And additionally it features visible (flashing lights) and audible(buzzers) alerts to notify drivers and passengers when the bus reaches its maximum capacity to ensure safety and compliance with capacity regulations. By monitoring passenger numbers in real-time, the system helps to prevent overcrowding, reducing the risk of accidents and ensuring compliance with safety regulations. The system allows bus operators to make informed decisions regarding route management and capacity planning. Passengers benefit from a safer environment, knowing that their comfort and safety are prioritized. This innovative counting system represents a significant advancement in public transportation management. By leveraging cutting-edge technology in sensor integration, real-time data display, and alert mechanisms, it not only enhances safety but also improves operational efficiency. And also it displays the nearby stop and availability of the seats the website named as FLEETSMART. It helps passengers to find out the timing of the bus as well as schedules.

Key-Words / Index Term :
fleet -vehicles that move together ; compliance - tractability ; leveraging - manipulating ; alert - a warning of possible danger ; prioritized - in order of importance ; buzzers - alarm bell gong signal warning

References :
[1] M. Dror Springer, "Dynamic Fleet Management: Concepts, Systems, Algorithms & Case Studies". It is a standalone book published by Springer in 1998.
[2] Priya Singh, Milind Suryawanshi, Darshana Tak, and Jayant Sant, "Smart Fleet Management System Using IoT, Computer Vision, Cloud". It was published as a preprint on EasyChair in December 2019.
[3] M.A. Iqbal, A.A. Khan, and S.A. Khan, “Passenger Detection and Counting for Public Transport System”, NED University Journal of Research, Vol.17, No.2, pp.35-46, 2019.
[4] Y. Li, C. Gong, and H. Zhang, "A Survey on Automated People Counting Systems," IEEE Transactions on Circuits and Systems for Video Technology, Vol.24, No.10, pp.1622-1638, 2014.
[5] Wang, X., & Ma, X., “Real-Time People Counting System using a Single Video Camera”, Proceedings of SPIE, in the year pp.6811, 71-82, 2008.
[6] Li, Q., Wang, Y., & Liu, X.., “A Novel Approach for Real-Time Passenger Counting in Public Transport”. IEEE Transactions on Intelligent Transportation Systems, Vol.20, Issue.11, pp.3606-3615 2019.
[7] Ioannis Papamichail, Christos G. Panayiotou, and Marios M. Polycarpou, “Intelligent Transportation Systems”, published in the CRC Press, 2015.
[8] P. Papadimitratos, “Smart Transport: Fleet Management and Intelligent Transportation Systems”, published in Springer Series on Transportation Systems Engineering, Springer, 2023.
[9] J. G. Wijaya, "Telematics in Fleet Management: A Case Study Approach," International Journal of Innovative Research in Technology, Vol.6, No.3, pp.45–52, 2022.
[10] S. Waghmare, "Car e-Talk: An IoT-Enabled Cloud-Assisted Smart Fleet Maintenance System," IEEE Access, Vol.8, pp.15873–15884, 2020.