宏观交通网络拥堵区边界最优控制
发布时间：2018-11-17 09:08
【摘要】：为了缓解交通拥堵,解决拥堵状态下区域交通控制问题,提出了宏观交通网络拥堵区边界最优控制方法。首先,基于同质性路网宏观基本图特性固定划分控制子区,通过分析子区之间的车辆流入、流出关系,建立了宏观网络车流平衡方程;其次,以路网旅行车辆完成率最高,同时子区边界处受阻车辆数最低为优化目标建立了拥堵区边界最优控制模型,根据最优控制确定子区边界输入、输出最佳交通流量,进而以饱和度高的边界交叉口饱和度快速降低为优化目标,提出了子区边界交叉口流量分配及信号配时参数优化方法;最后,以合肥市一环路以内的路网为测试对象,通过微观仿真分析,比较了无区域边界控制、拥堵区入口Bang-Bang边界控制、拥堵区出口与入口BangBang边界控制和最优控制4种控制方案。结果表明:最优控制条件下宏观路网运行效益比前3种方法分别提高49.17%、30.19%、71.99%,车辆行程延误分别降低21.65%、3.74%、1.94%;最优控制可有效改善拥堵区内外交通密度的均衡性;宏观路网拥堵区的边界控制可有效降低高峰期间拥堵区的拥塞程度,提高整个路网的疏散能力。
[Abstract]:In order to alleviate traffic congestion and solve the problem of regional traffic control in congested condition, an optimal control method for the boundary of congestion zone in macroscopic traffic network is proposed. Firstly, based on the characteristics of the macroscopic basic map of the homogeneous road network, the control sub-area is fixed and the equilibrium equation of the macroscopic network traffic flow is established by analyzing the relationship between the vehicle inflow and outflow between the sub-areas. Secondly, the optimal control model of congestion zone boundary is established with the highest completion rate of road network travel vehicles and the lowest number of blocked vehicles at the sub-area boundary. According to the optimal control, the sub-area boundary input is determined and the optimal traffic flow is output. Then, aiming at the rapid reduction of saturation at high saturation boundary intersection, the optimization method of flow distribution and signal timing parameters at sub-area boundary intersection is proposed. Finally, taking the road network within the first ring road in Hefei as the test object, through the microscopic simulation analysis, compared the no area boundary control, the congestion area entrance Bang-Bang boundary control, There are four control schemes for BangBang boundary control and optimal control in congested area. The results show that under the optimal control condition, the operation benefit of macroscopic road network is increased by 49.17% and 30.19% than that of the former three methods, and the vehicle travel delay is reduced by 21.65% and 3.74%, respectively. The optimal control can effectively improve the equilibrium of traffic density inside and outside the congested area, and the boundary control of the macroscopic road network congestion zone can effectively reduce the congestion degree of the congested area during the rush hour and improve the evacuation ability of the whole road network.
【作者单位】： 合肥工业大学汽车与交通工程学院;长安大学公路学院;
【基金】：国家自然科学基金项目(61304195,51178158,51578207) 安徽省自然科学基金项目(1408085QF111)
【分类号】：U491
[Abstract]:In order to alleviate traffic congestion and solve the problem of regional traffic control in congested condition, an optimal control method for the boundary of congestion zone in macroscopic traffic network is proposed. Firstly, based on the characteristics of the macroscopic basic map of the homogeneous road network, the control sub-area is fixed and the equilibrium equation of the macroscopic network traffic flow is established by analyzing the relationship between the vehicle inflow and outflow between the sub-areas. Secondly, the optimal control model of congestion zone boundary is established with the highest completion rate of road network travel vehicles and the lowest number of blocked vehicles at the sub-area boundary. According to the optimal control, the sub-area boundary input is determined and the optimal traffic flow is output. Then, aiming at the rapid reduction of saturation at high saturation boundary intersection, the optimization method of flow distribution and signal timing parameters at sub-area boundary intersection is proposed. Finally, taking the road network within the first ring road in Hefei as the test object, through the microscopic simulation analysis, compared the no area boundary control, the congestion area entrance Bang-Bang boundary control, There are four control schemes for BangBang boundary control and optimal control in congested area. The results show that under the optimal control condition, the operation benefit of macroscopic road network is increased by 49.17% and 30.19% than that of the former three methods, and the vehicle travel delay is reduced by 21.65% and 3.74%, respectively. The optimal control can effectively improve the equilibrium of traffic density inside and outside the congested area, and the boundary control of the macroscopic road network congestion zone can effectively reduce the congestion degree of the congested area during the rush hour and improve the evacuation ability of the whole road network.
【作者单位】： 合肥工业大学汽车与交通工程学院;长安大学公路学院;
【基金】：国家自然科学基金项目(61304195,51178158,51578207) 安徽省自然科学基金项目(1408085QF111)
【分类号】：U491
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