Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

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Automatic Anti Collision System For Intelligent Transportation System

Authors
T. Kavitha1, *, P. Nagarajan2, A. Arulmary3, N. Ashokkumar4, P. Nagarajan5, C. Supraja1
1Vel tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India
2Bannari Amman Institute of Technology, Sathyamangalam, Erode, India
3Chennai Institute of Technology, Chennai, India
4Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupathi, AP, India
5SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India
*Corresponding author. Email: drkavitha@veltech.edu.in
Corresponding Author
T. Kavitha
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_31How to use a DOI?
Keywords
Road Safety; Obstacle Detection; Display board; Tracking module and Communication module
Abstract

To decorate street protection and prevent collisions amid increasing vehicular visitors, this proposed gadget introduces an advanced answer that leverages AI-pushed predictive analytics and V2X (carto-the-whole thing) communication to mitigate injuries resulting from human mistakes and confined visibility. The gadget employs real-time impediment detection through the usage of LiDAR and laptop vision primarily based object popularity, ensuring excessive precision in figuring out capability collisions. A dynamic alert mechanism integrates a smart display unit that provides adaptive visible and auditory cues based on the severity of detected obstacles, permitting drivers to make timely and informed choices. Additionally, a GPS-enabled tracking module with AI-based total trajectory prediction complements accuracy by means of offering real-time place and movement information, contextualizing potential collision situations. The system additionally integrates an area computing-based totally communication module that permits ultra-low latency information exchange among automobiles and visitor control facilities, improving situational awareness and coordinated responses. By leveraging AI, facet computing, and V2X conversation, this system drastically complements road safety, proactively mitigating accidents due to human obstacles and environmental constraints.

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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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_31How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - T. Kavitha
AU  - P. Nagarajan
AU  - A. Arulmary
AU  - N. Ashokkumar
AU  - P. Nagarajan
AU  - C. Supraja
PY  - 2025
DA  - 2025/06/30
TI  - Automatic Anti Collision System For Intelligent Transportation System
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 349
EP  - 362
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_31
DO  - 10.2991/978-94-6463-754-0_31
ID  - Kavitha2025
ER  -