Chain Accident Prevention by Applying Automatic Braking via Vehicle to Vehicle Communication

Sowmya P., Prajjwal Kumar, Kumar Pratyush, Sachin Chaudhary, Sachin Srivastava

2024

Abstract

Chain collisions are significant causes of traffic-related accidents and casualties as well as property damage, resulting largely from delayed driver reaction time and inadequate communication between various vehicles. This research shall design an IoT-based system equipped with V2V communication capability and automatic braking to preclude such accidents. Implementing the system by taking advantage of cost-effective materials such as Arduino UNO microcontrollers, Zigbee communication modules, and UV sensors ensures real-time danger detection and response. A centralized hub powered byESP32 facilitates emergency notifications via the Telegram platform, hence enhancing coordination with stakeholders. Other features include glare reduction using LDR sensors and real-time environmental monitoring to enhance night-time visibility and driving safety. Combining these technologies, the system reduces chain collisions, shortens response times in emergencies, and improves overall traffic safety. This research points out the enormous potential of integrating IoT and V2V technologies to shape smarter, safer transportation networks.

Paper Citation

in Harvard Style

P. S., Kumar P., Pratyush K., Chaudhary S. and Srivastava S. (2024). Chain Accident Prevention by Applying Automatic Braking via Vehicle to Vehicle Communication. In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-756-6, SciTePress, pages 157-163. DOI: 10.5220/0013652500004639

in Bibtex Style

@conference{ispes24,
author={Sowmya P. and Prajjwal Kumar and Kumar Pratyush and Sachin Chaudhary and Sachin Srivastava},
title={Chain Accident Prevention by Applying Automatic Braking via Vehicle to Vehicle Communication},
booktitle={Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2024},
pages={157-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013652500004639},
isbn={978-989-758-756-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - Chain Accident Prevention by Applying Automatic Braking via Vehicle to Vehicle Communication
SN - 978-989-758-756-6
AU - P. S.
AU - Kumar P.
AU - Pratyush K.
AU - Chaudhary S.
AU - Srivastava S.
PY - 2024
SP - 157
EP - 163
DO - 10.5220/0013652500004639
PB - SciTePress