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Travel Time Reliability-Based Signal Timing Optimization for Urban Road Traffic Network Control

机译:基于行驶时间可靠性的城市道路交通网络控制信号配时优化

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摘要

Due to increasing traffic demand, many metropolitan areas are experiencing extensive traffic congestion, which demands for efficient traffic signal timing and optimization. However, conventional efficiency measure-based signal optimization cannot handle the ubiquitous uncertainty in the road networks, demanding for the incorporation of reliability measures into signal optimization, which is still in its early stage. Therefore, targeting this issue, based on the recent studies on recognizing travel time reliability (TRR) as an important reliability measure of road networks, a travel time reliability-based urban road traffic network signal timing optimization model is proposed in this paper, with the objective function to optimize a TTR measure, i.e., buffer time index. The proposed optimization model is solved using the heuristic particle swarm optimization approach. A case study is conducted using microscopic traffic simulation for a road network in the City of Nanjing, China. Results demonstrate that the proposed optimization model can improve travel time reliability of the road traffic network and the efficiency of the road traffic network as well. Future studies are recommended to expand the integration of travel time reliability into traffic signal timing optimization.
机译:由于交通需求的增加,许多大都市地区正在经历广泛的交通拥堵,这需要高效的交通信号配时和优化。然而,传统的基于效率度量的信号优化无法应对路网中无处不在的不确定性,需要将可靠性度量纳入信号优化中,而信号优化仍处于早期阶段。因此,针对这一问题,基于近年来将出行时间可靠性(TRR)作为道路网络重要可靠性度量的研究,该文提出一种基于出行时间可靠性的城市道路交通网络信号配时优化模型,以目标函数优化TTR度量,即缓冲时间指数。采用启发式粒子群优化方法对所提出的优化模型进行求解。使用微观交通模拟对中国南京市的路网进行了案例研究。结果表明,所提优化模型能够提高道路交通网络的出行时间可靠性和道路交通网络的效率。建议未来的研究将行驶时间可靠性扩展到交通信号配时优化中。

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    Chongqing Jiaotong Univ, Sch Traff & Transportat, Chongqing 400074, Peoples R China|Qinghai Nationalities Univ, Sch Civil & Transportat Engn, Xining 810007, Peoples R China;

    Chongqing Jiaotong Univ, Sch Informat Sci & Engn, Chongqing 400074, Peoples R China;

    Southeast Univ, Intelligent Transportat Syst Res Ctr, Nanjing 210096, Peoples R China;

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