Volume 39 Issue 4
Aug.  2021
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Article Navigation >  Journal of Transport Information and Safety  > 2021  >  39(4): 9-15, 34
WU Zixiang, HUANG Helai, CHEN Jiguang, ZHENG Dehong, ZHA Wuping. A Study on Collision Avoidance Strategy for Vulnerable Road Users Under Visual Obstruction[J]. Journal of Transport Information and Safety, 2021, 39(4): 9-15, 34. doi: 10.3963/j.jssn.1674-4861.2021.04.002
Citation: WU Zixiang, HUANG Helai, CHEN Jiguang, ZHENG Dehong, ZHA Wuping. A Study on Collision Avoidance Strategy for Vulnerable Road Users Under Visual Obstruction[J]. Journal of Transport Information and Safety, 2021, 39(4): 9-15, 34. doi: 10.3963/j.jssn.1674-4861.2021.04.002
shu

A Study on Collision Avoidance Strategy for Vulnerable Road Users Under Visual Obstruction

doi: 10.3963/j.jssn.1674-4861.2021.04.002
  • 1.

    School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China

  • 2.

    Smart Transport Key Laboratory of Hunan Province, Central South University, Changsha 410075, China

  • 3.

    Traffic Police Corps of Public Security Department of Hunan Province, Changsha 410100, China

  • Received Date: 2021-03-04
    Abstract
  • The traffic accident caused by visual obstruction is one of the main types of current urban-road traffic accidents. The work proposes an autonomous emergency-brake avoidance control strategy based on the collision time ratio and the safe braking distance, aiming at the crossroad traffic accident caused by a visual obstruction between vehicle and vulnerable road users(VRU). Firstly, the traffic state model of the vehicle and VRU is established to analyze the critical distance of braking to avoid a collision. Then the collision avoidance scenarios are divided into three types with different braking deceleration speeds adopted. The autonomous emergency collision-avoidance control strategy is proposed based on the critical distance and the collision time ratio between the vehicle and VRU in this scenario. Finally, the strategy and the traditional TTC braking algorithm are analyzed by the Euro NCAP test scenario. The results show that the vehicle can avoid collisions at a higher speed under ideal circumstances using this strategy in the Euro NCAP CPNC test scenario. Compared with the traditional TTC algorithm, it can reduce the collision speed more effectively in the high-speed driving condition where collisions cannot be avoided and reduce the risk of serious injury and death to improve the safety of vehicles.

     

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