摘要
可变车道技术是潮汐式交通拥堵问题的有效解决手段之一,杭州西湖区潮汐走廊是连接城西居民区和市区的主干道。为了解决潮汐车道在早高峰通勤时过饱和状态下的拥堵问题,深入分析了潮汐走廊的实际交通数据并判断出潮汐车道的瓶颈路段。提出基于群体动力学的交叉口群协同控制算法,建立了双交叉口协同控制模型,并研究了潮汐走廊过饱和状态下瓶颈路段两端双交叉口的信号实时协同配时方案。利用VISSIM+MATLAB的自适应仿真控制技术对双交叉口配时方案进行了对比分析。仿真结果表明:在满足了交通流量的前提下,协同配时方案使得瓶颈路段的流速由22.7 km/h提高至28.2 km/h,提速24.23%,由中度拥堵改善为轻度拥堵,行车时间、平均延误时间等参数也均达到了不同程度的优化。然而,在双交叉口的协同配时控制达到一定效果的同时,下一路段的车辆流速却降低了12.35%,平均延误时间增加了8.96%。这说明:基于群体动力学算法的多交叉口协同配时方案设计,必须强调上下游交通流的关联关系,从全局角度进行全路段的交叉口群的协同控制。上述成果为城市潮汐车道的定量分析和实时智能交通控制的研究提供了一定的理论和实践基础。
Variable lane technology is one of the effective solutions to the problem of ＂tidal traffic congestion＂,the Tidal Corridor in Hangzhou West Lake District is the main road connecting the western suburbs and urban areas. In order to solve the commuter traffic congestion of over-saturated tidal lane in morning rush,the actual traffic data is deeply analyzed and the bottleneck section of the tidal lane is determined. Based on group dynamics,the cooperative control algorithm is put forward,and a doubleintersection cooperative control model is established,the real-time signal cooperative timing scheme under the supersaturated situation at both ends of the bottleneck road is researched. VISSIM ＋ MATLAB adaptive simulation control technology is used to compare the signal timing schemes for intersections at both ends. The simulation results show that（ 1） The speed in the bottleneck section increased from 22. 7 km/h to 28. 2 km/h due to the cooperative timing scheme,which has been improved by 24. 23%,The congestion level is improved from moderate to mild. Meanwhile,driving time,average delay time and other parameters also reached a certain degree of optimization.（ 2） although the cooperative traffic control in the 2 intersections achieved a certain effect,the traffic flow in the next section decreased by 12. 35% while the average delaytime increased by 8. 96%. It means that the multi-intersection cooperative timing scheme design based on group dynamics algorithm must emphasize the correlation of upstream and downstream traffic flows. It is necessary to carry out cooperative control over the intersections of all road sections from the overall view. The above works provided a theoretical and practical basis for the quantitative analysis and real-time intelligent control of urban tidal lanes.
作者
许雪琦
姜柯
黄超
XU Xue-qi, JIANG Ke, HUANG Chao(School of Management, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, Chin)
出处
《公路交通科技》
CAS
CSCD
北大核心
2018年第5期108-114,共7页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(71373064
U1509220)
