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机构地区:[1]西南交通大学交通运输与物流学院,四川成都610031 [2]综合交通运输智能化国家地方联合工程实验室,四川成都610031
出 处:《中国安全科学学报》2017年第9期92-97,共6页China Safety Science Journal
基 金:四川省科技计划项目应用基础研究(重点)(2017JY0072)
摘 要:为应急处置交叉口突发交通事故造成的拥堵情况,利用车联网的车车(V2V)通信技术,根据车联网车辆实时播报的位置、速度等信息,以交通总延误最小为目标设定车辆的通过次序及行车轨迹,构建车辆协同控制模型;为提高求解精度和效率,提出基于遍历树和滚动优化的模型求解算法;最后搭建仿真平台验证模型有效性。结果表明:所提出的控制模型和求解算法明显优于传统的信号控制方法,显著降低了事故车辆对交叉口运行的影响。To deal with the traffic congestion caused by traffic accident at the intersection,using connected-vehicle-based V2 V communication technology,a cooperative vehicle control model was built based on location,speed and other information reported by connected vehicles. And the model can arrange vehicles' passing orders and moving trajectories on purpose of minimizing total traffic delay. Moreover,vehicles are allowed to utilize the reverse lane to bypass accident cars. An algorithm was worked out for solving the model based on both the decision tree algorithm and the rolling horizon optimization algorithm.Finally,a simulation platform was established to verify the validity of the model. Simulation results show that the model and the algorithm outperforms conventional traffic signal control methods,and can be used to significantly reduce the adverse impact caused by accident vehicles.
关 键 词:车联网 车车(V2V)通信 车辆协同控制 滚动优化 交通事故处置
分 类 号:X924.4[环境科学与工程—安全科学]
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