为了提高城市交叉口通行效率,在车路协同环境下对无信号交叉口优化控制方法进行了研究。设计并采用基于时延Petri网(Timed Petri Net,TdPN)的无信号交叉口优化控制方法,利用TdPN建立无信号交叉口控制模型,并依此建立交叉口车辆最快消散...为了提高城市交叉口通行效率,在车路协同环境下对无信号交叉口优化控制方法进行了研究。设计并采用基于时延Petri网(Timed Petri Net,TdPN)的无信号交叉口优化控制方法,利用TdPN建立无信号交叉口控制模型,并依此建立交叉口车辆最快消散目标函数,采用递归方式求解车辆最优通过序列;利用Q-Paramics构建基于车路协同环境下的无信号交叉口仿真平台,分析该方法在不同交通流量下对交叉口平均延迟、平均停车次数、平均排队长度和平均速度4个交通参数的影响,并将其与传统的信号控制方法进行对比。研究结果表明:基于TdPN的无信号优化控制方法能够在一定程度上缓解中小交通流量下的交叉口通行问题,并且其控制结果明显优于传统的感应控制方法。展开更多
A vehicle conflict detection and resolution method is proposed based on the concept of vehicle infrastructure integration (VII) system to prevent vehicle accident beforehand at blind cross- ing. After analyzing traf...A vehicle conflict detection and resolution method is proposed based on the concept of vehicle infrastructure integration (VII) system to prevent vehicle accident beforehand at blind cross- ing. After analyzing traffic conflict characteristics and vehicle collision scenarios at intersection, a vehicle dynamics model and an inter-vehicle communication method are discussed. In the inter-vehi- cle communication environment, the relative relationship between two encountered vehicles are de- signed. Then vehicle conflict detection and resolution algorithms under two conflict scenarios are put forward to represent the conflict-free movements of vehicles with adjusting vehicle velocity at cross- ing. Finally, simulation studies are carried out and the results prove that the proposed algorithms are effective for vehicle conflict resolution at blind crossing.展开更多
文摘为了提高城市交叉口通行效率,在车路协同环境下对无信号交叉口优化控制方法进行了研究。设计并采用基于时延Petri网(Timed Petri Net,TdPN)的无信号交叉口优化控制方法,利用TdPN建立无信号交叉口控制模型,并依此建立交叉口车辆最快消散目标函数,采用递归方式求解车辆最优通过序列;利用Q-Paramics构建基于车路协同环境下的无信号交叉口仿真平台,分析该方法在不同交通流量下对交叉口平均延迟、平均停车次数、平均排队长度和平均速度4个交通参数的影响,并将其与传统的信号控制方法进行对比。研究结果表明:基于TdPN的无信号优化控制方法能够在一定程度上缓解中小交通流量下的交叉口通行问题,并且其控制结果明显优于传统的感应控制方法。
基金Supported by the National High Technology Research and Development Program of China("863"Program) (2011AA1104032011AA110402)
文摘A vehicle conflict detection and resolution method is proposed based on the concept of vehicle infrastructure integration (VII) system to prevent vehicle accident beforehand at blind cross- ing. After analyzing traffic conflict characteristics and vehicle collision scenarios at intersection, a vehicle dynamics model and an inter-vehicle communication method are discussed. In the inter-vehi- cle communication environment, the relative relationship between two encountered vehicles are de- signed. Then vehicle conflict detection and resolution algorithms under two conflict scenarios are put forward to represent the conflict-free movements of vehicles with adjusting vehicle velocity at cross- ing. Finally, simulation studies are carried out and the results prove that the proposed algorithms are effective for vehicle conflict resolution at blind crossing.