基于车载数据的城市道路交叉口自适应控制研究

在总结现有交叉口交通控制弊端的基础上,通过对控制目标和任务的分析,基于车路协同系统的全时空车载数据,以单车道的车队和多车道的车队簇为控制对象,利用车头时距和间距研究车队和车队簇的形成和动态变化规律,建立了基于车载数据的交叉口自适应控制模型,同时在相位切换逻辑中考虑了两难区.最后基于二次开发的仿真平台,对研究成果进行了测试和验证,相关的案例分析表明,模型应用对于交叉口平峰和低峰情况下的运行效率和安全性有显著改善.

Adaptive Control at Intersection in Urban Area Based on Probe Data

To overcome disadvantages of traffic control at intersection in current situation,the control objective and task were analyzed,and then with probe data,the formation and variation of platoon in single lane and cluster platoon in multi lanes were studied.Furthermore,an adaptive control model was established,in which dilemma zone was also taken into account when making phase transition.Finally,based on secondary development of simulation software,relative test and validation work were also finished,and from case study,it is concluded that the model can improve the efficiency and safety of intersection operation,especially in flat and low demand scenarios.