Pedestrian-vehicle collision avoidance approach based on cooperative vehicle infrastructure system
LYU Neng-chao;KUANG Quan;TAN Qing-shan;YU Ren-bin;Intelligent Transportation Systems Research Center,Wuhan University of Technology;Engineering Research Center for Transportation Safety,Ministry of Education;School of Energy & Power Engineering,Wuhan University of Technology;
In order to improve the pedestrian-vehicles collision risk identification and warning effect under multi driving status,a risk identification and decision-making procedure was worked out based on CVIS technology. According to the status analysis of vehicle in straight following and lane changing and other states,impacts of drivers' reaction and vehicle motion states on the risk were studied. The risk was identified by risk area pre-process and risk threshold comparison. A reminding collision avoidance method was used to make the driver know the current driving state,and take appropriate step-double collision avoidance measures to avoid collision. The start distance and time of step-double collision avoidance of each stage are simulated by Matlab. Results show that with the increase of vehicle speed,both the start distance and time increase,and that the proposed method meets the realty.