Simulation Analysis of a PSO-Based Vehicle Collision Avoidance Method under Cooperative Vehicle Infrastructure Environment

Abstract:

Vehicle safety is of great importance to improve the capability and performance of the transportation system. To deal with safety threats most probably caused by the vehicle collisions in unsignalized intersections, concept of vehicle infrastructure cooperation provides a perspective and challenging solution to enable sufficient information interaction by V2V and V2I communication, which make it feasible to avoid collisions more autonomously. In vehicle collision avoidance scheme, decision making of vehicle braking control is crucial for emergent situations when safety alerts are not reacted by the driver. In this paper, a novel cooperative vehicle collision avoidance method based on particle swarm optimization is proposed, with an integrated fitness updating criteria considering both safety interval and relative continuity of vehicle deceleration. With a simulation analysis approach, the proposed collision avoiding solution is validated in a real road oriented scenario, and the results demonstrate its effectiveness and advantages to reduce collision and achieve safety assurance under cooperative vehicle infrastructure environment.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 1539-1544
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.1539
• Online since: December 2012
• Authors: Jiang Liu, Bai Gen Cai, Yun Peng Wang, Jian Wang
• Keywords: Collision Avoidance, Particle Swarm Optimization (PSO), Vehicle Infrastructure Cooperation

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