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宏觀交通網絡擁堵區(qū)邊界最優(yōu)控制

發(fā)布時間:2018-11-17 09:08
【摘要】:為了緩解交通擁堵,解決擁堵狀態(tài)下區(qū)域交通控制問題,提出了宏觀交通網絡擁堵區(qū)邊界最優(yōu)控制方法。首先,基于同質性路網宏觀基本圖特性固定劃分控制子區(qū),通過分析子區(qū)之間的車輛流入、流出關系,建立了宏觀網絡車流平衡方程;其次,以路網旅行車輛完成率最高,同時子區(qū)邊界處受阻車輛數(shù)最低為優(yōu)化目標建立了擁堵區(qū)邊界最優(yōu)控制模型,根據(jù)最優(yōu)控制確定子區(qū)邊界輸入、輸出最佳交通流量,進而以飽和度高的邊界交叉口飽和度快速降低為優(yōu)化目標,提出了子區(qū)邊界交叉口流量分配及信號配時參數(shù)優(yōu)化方法;最后,以合肥市一環(huán)路以內的路網為測試對象,通過微觀仿真分析,比較了無區(qū)域邊界控制、擁堵區(qū)入口Bang-Bang邊界控制、擁堵區(qū)出口與入口BangBang邊界控制和最優(yōu)控制4種控制方案。結果表明:最優(yōu)控制條件下宏觀路網運行效益比前3種方法分別提高49.17%、30.19%、71.99%,車輛行程延誤分別降低21.65%、3.74%、1.94%;最優(yōu)控制可有效改善擁堵區(qū)內外交通密度的均衡性;宏觀路網擁堵區(qū)的邊界控制可有效降低高峰期間擁堵區(qū)的擁塞程度,提高整個路網的疏散能力。
[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.
【作者單位】: 合肥工業(yè)大學汽車與交通工程學院;長安大學公路學院;
【基金】:國家自然科學基金項目(61304195,51178158,51578207) 安徽省自然科學基金項目(1408085QF111)
【分類號】:U491

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