Real Time Traffic Signal and Route Optimization

DOI

10.2991/978-94-6463-858-5_137How to use a DOI?

Keywords

Traffic Signal; Route Optimization; Real-time Monitoring; Smart City; Accident Reporting

Abstract

This paper presents Traffic, a real-time intelligent traffic signal monitoring and route optimization system. The application integrates live traffic signal data with route optimization algorithms to provide efficient navigation for commuters. The solution is built using a React frontend, Node.js backend, and Map box for real-time mapping. Additional modules like accident reporting and public feedback ensure user participation and safety enhancement. Initial testing revealed considerable travel time reduction and user satisfaction. The project contributes to developing smarter and safer urban mobility systems.

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  - K. Pushpavalli
AU  - N. S. Kishanraj
AU  - S. Lingesh
AU  - K. ArunPrasad
PY  - 2025
DA  - 2025/11/04
TI  - Real Time Traffic Signal and Route Optimization
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1687
EP  - 1693
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_137
DO  - 10.2991/978-94-6463-858-5_137
ID  - Pushpavalli2025
ER  -