Collision avoidance system with cooperative adaptive cruise control in highway entrance ramp environment

Guang-ming Xiong, Hao Li, Y. Jin, Jian-wei Gong, Huiyan Chen
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引用次数: 7

Abstract

Although efforts have been done to solve collision avoidance using either environment recognition sensors or vehicle-to-vehicle (V2V) communication information, it is still a challenging problem in some specific scene, e.g. highway entrance ramp. In this paper, we propose a new cooperative adaptive cruise control (CACC) method which combines information of environment recognition sensors and V2V communication. A collision detection system of CACC will work based on the information of V2V communication before environment recognition sensors detecting obstacles accurately. Co-simulation experiment using PreScan and Simulink is conducted. The experimental results show that the intelligent vehicle with our method can pass the freeway entrance ramp more safely.
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高速公路入口匝道环境下协同自适应巡航防撞系统
尽管人们已经在利用环境识别传感器或车对车(V2V)通信信息来解决碰撞避免问题上做出了努力,但在某些特定场景下,例如高速公路入口匝道,这仍然是一个具有挑战性的问题。本文提出了一种将环境识别传感器信息与V2V通信相结合的新型协同自适应巡航控制方法。在环境识别传感器准确检测到障碍物之前,CACC的碰撞检测系统将基于V2V通信信息工作。利用PreScan和Simulink进行了联合仿真实验。实验结果表明,采用该方法的智能车辆能够更安全地通过高速公路入口匝道。
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