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拥堵交通网络能耗节约边界信号优化方法

发布时间:2018-03-03 17:29

  本文选题:交通拥堵 切入点:能源消耗 出处:《系统工程理论与实践》2017年03期  论文类型:期刊论文


【摘要】:为了缓解宏观交通网络拥堵区的拥堵状况并降低机动车燃油消耗,首先依据路网状态划分的宏观基本图控制子区,建立了拥堵区边界车流平衡方程.其次将路网分为交叉口和路段两类,根据宏观基本图参数建立了网络能耗估计模型.再次以宏观路网出行车辆完成率最高同时能耗最低建立了能耗节约拥堵区边界双目标优化控制模型.最后以实际城市道路网络为测试对象,通过比较无区域边界控制、拥堵区入口Bang-Bang边界控制和本文提出的双目标优化控制方案,仿真结果表明:1)在高峰时段,双目标优化控制方法路网疏散能力比无区域边界控制、Bang-Bang控制分别提高20.14%、2.1%,同时机动车燃油消耗分别降低43.14%、24.48%;2)本文提出的双目标优化控制方法可有效改善拥堵区内外交通密度的均衡性;3)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 the congestion in the macroscopic traffic network and reduce the fuel consumption of motor vehicles, first of all, according to the state of the road network, the macroscopic basic map is used to control the sub-area. The equilibrium equation of traffic flow at the boundary of congested area is established. Secondly, the road network is divided into two types: intersections and sections. The network energy consumption estimation model is established according to the parameters of the macroscopic basic diagram. Finally, the model of dual objective optimal control of the boundary of energy saving congestion zone is established with the highest completion rate and the lowest energy consumption of the macro road network. Finally, the actual situation of the network energy consumption estimation model is given. The urban road network was tested, By comparing the no-region boundary control, the Bang-Bang boundary control in congested area and the two-objective optimal control scheme proposed in this paper, the simulation results show that: 1) in the peak period. Two-objective optimal control method the evacuation capacity of road network is 20.14% higher than Bang-Bang control without regional boundary control, while the fuel consumption of motor vehicle is reduced by 43.14% 24.48%. 2) the dual objective optimization control method proposed in this paper can effectively improve diplomacy in congested area. The boundary control of the macroscopic network congestion zone can effectively reduce the congestion degree of the congestion area during the peak period. Improve the evacuation capacity of the entire 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(61304195,51178158,51578207) 安徽省自然科学基金(1408085QF111)~~
【分类号】:U491

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