摘要
针对目前交叉口交通状态判别方法不能有效识别溢流、车辆慢行等的问题,提出了一种交叉口交通状态精细化判别方法。首先对交叉口的物理空间组成进行分解,分解为各方向路段和内部冲突区域两部分;其次,利用计算饱和度方法对各方向路段的交通状态进行判别;利用绿灯结束时刻剩余车辆累积车头时距与间隔时间之比对内部冲突区域的交通状态进行判别;最后,采用综合交通状态判别方法实现交叉口交通状态的精细化判别,并利用实际采集的数据对方法进行仿真验证。仿真结果表明:所建立的方法可以更精细的对交叉口交通状态进行判别。
Aiming at the problem that the intersection traffic status is not accurate, this method is put forward. First of the intersection of the physical space composed of decomposition, each direction of the road and internal conflict in the region was decomposed. Secondly, the saturation calculation method on the direction of the road traf- fic state identification, the green light at the time of the end of the remaining vehicles cumulative front and the dis- tance between the vibration time than the internal conflict of regional traffic state discrimination were used. Finally, the comprehensive traffic state discrimination method refinement of intersection traffic state identification, and the actual collection of data simulation verification of the method. The simulation results show that the method can be more accurate to judge the traffic state of intersections.
作者
王力
张立立
李敏
张海波
WANG Li ZHANG Li-li LI Min ZHANG Hai-bo(Intelligent Transportation Key Laboratory, North China University of Technology, Beijing 100144 ,P. R. China)
出处
《科学技术与工程》
北大核心
2016年第34期290-295,共6页
Science Technology and Engineering
基金
国家自然科学基金项目(51308005)
科技创新服务能力建设-协同创新中心-首都世界城市顺畅交通协同创新中心-参与单位(2011协同创新中心)(市级)(PXM2016_014212_000030)
科技创新服务能力建设-科技成果转化-提升计划项目-基于交通大数据的北京道路交通疏堵决策支持系统研发(市级)(PXM2016_014212_000036)资助
关键词
交通状态判别
精细化
交叉口物理空间
饱和度
清尾时间
traffic state identification precise intersection physical space saturation empty tail vehicle time