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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Improved Detect and Report Incident Systems Toprevent Congestion and Chain Accidents in VANET

Abbas Ali Rezaee, Zahra Rouzegar and Mohammad Hadi Zahedi
Page: 1896-1901 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Traffic on the highway reduces security and increases rate of accidents and victims in many countries. One aspect of recent research in the field of intelligent transportation systems is focusing on diagnostic techniques accident. With advances in sensor networks and wireless technologies, modern vehicles have the ability to communicate with each other and with roadside infrastructure units to enhance the safety. Automotive safety applications which use vehicle-to-vehicle and vehicle-to-infrastructure deploy short-range communications. In this study, an analytical model is presented to ensure the control channel dedicated short-range communications applications due to high mobility vehicles and hidden terminal problems. This model provided to handle the car’s and ad-hoc safety networks which established on AODV routing protocol due its packets sending with features of lower latency and reliability compared to existing methods.


How to cite this article:

Abbas Ali Rezaee, Zahra Rouzegar and Mohammad Hadi Zahedi. Improved Detect and Report Incident Systems Toprevent Congestion and Chain Accidents in VANET.
DOI: https://doi.org/10.36478/jeasci.2017.1896.1901
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.1896.1901