详细信息
Integration of Regional Demand Management and Signals Control for Urban Traffic Networks ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Integration of Regional Demand Management and Signals Control for Urban Traffic Networks
作者:Zhou, Zhao[1];Lin, Shu[2];Du, Wenli[1];Liang, Haili[3]
机构:[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China;[3]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200444, Peoples R China
年份:2019
卷号:7
起止页码:20235
外文期刊名:IEEE ACCESS
收录:;EI(收录号:20191006602187);WOS:【SCI-EXPANDED(收录号:WOS:000459783600001)】;
基金:This work was supported in part by the National Natural Science Foundation of China under Grant 61703164 and Grant 61703261, in part by the Natural Science Foundation of Shanghai under Grant 17ZR1445000, in part by the China Postdoctoral Science Foundation under Grant 2018M632045, in part by the Junior Fellowship of CAST Advanced S&T Thinktank Program under Grant DXB-ZKQN-2017-028, and in part by the Fundamental Research Funds for the Central Universities under Grant 222201814042.
语种:英文
外文关键词:Urban traffic networks; hierarchical framework; regional demand management; traffic signals coordination; model predictive control
摘要:Many efforts have been focused on the network-wide traffic signal optimization to deal with the congestion problem in big cities. Nevertheless, research evidence illustrates that both improper traffic network managements and excessive traffic demands are the key factors leading to the oversaturated traffic conditions. Current studies encounter the bottleneck in addressing the multi-objective optimization problem. This point calls for designing the hierarchical control framework. In this paper, we concern a two-level hierarchical model-based predictive control scheme to improve mobility in heterogeneous large-scale urban traffic networks, so as to mitigate traffic jams. On the basis of a network partition, a regional demand management approach regulating the input traffic flow from adjacent regions is proposed for multi-subnetworks management taking the advantage of the concept of a macroscopic fundamental diagram of urban traffic networks. This can be viewed as a higher level control layer and can be integrated with other strategies. The lower level control layer utilizes the traffic signals coordination within the subnetworks based on a detailed link-level traffic model to optimize the allocation of vehicles in each subnetwork as homogeneous as possible. The simulation results show that integrating regional demand management with a local traffic responsive control into a hierarchical framework can significantly improve the whole network performance under different traffic scenarios in comparison with other available control strategies.
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