Cooperative Collision Avoidance in a Connected Vehicle Environment
Sukru Yaren Gelbal, Sheng Zhu, Gokul Arvind Anantharaman, Bilin Aksun, Guvenc, and Levent Guvenc

TL;DR
This paper presents a real-time cooperative collision avoidance algorithm for connected vehicles utilizing V2X communication, tested in diverse simulated environments with hardware-in-the-loop validation.
Contribution
It introduces a novel real-time CCA algorithm leveraging V2X communication and validates it through hardware-in-the-loop simulations in multiple risk scenarios.
Findings
Effective collision avoidance in simulated environments
Successful real-time implementation with hardware validation
Enhanced safety and decision-making in connected vehicle systems
Abstract
Connected vehicle (CV) technology is among the most heavily researched areas in both the academia and industry. The vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and vehicle to pedestrian (V2P) communication capabilities enable critical situational awareness. In some cases, these vehicle communication safety capabilities can overcome the shortcomings of other sensor safety capabilities because of external conditions such as 'No Line of Sight' (NLOS) or very harsh weather conditions. Connected vehicles will help cities and states reduce traffic congestion, improve fuel efficiency and improve the safety of the vehicles and pedestrians. On the road, cars will be able to communicate with one another, automatically transmitting data such as speed, position, and direction, and send alerts to each other if a crash seems imminent. The main focus of this paper is the implementation…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Autonomous Vehicle Technology and Safety · Traffic control and management
