摘要This study combined the coordinated control and time-of-day strategy to improve the stability and benefit cost ratio of the control strategy in the context of China's traffic condition. The coordination boundary was determined by the coordinatability model of intersections. The traffic volumes of intersections in the research area were dealt with the mixed clustering method to obtain the corresponding time-of-day strategies. On the basis of the previous study, the multiple-objective particle swarm optimization is used for the average delay to find the best switching time for time-of-day control. Relevant simulation indicates that when compared with current traffic control plans and mixed clustering optimization, the proposed strategy shows more advantages in termsof bandwidth of traffic control plan and delay optimization. After minimizing the disturbance caused by switching traffic control plans, the resulting decrement rate of average vehicle delay is 12.63% for the current traffic control plan and 2.45% for the mixed clustering optimization; the increasing bandwidth rates of the traffic control plan are 0.98% and 23.51%, respectively.
Abstract：This study combined the coordinated control and time-of-day strategy to improve the stability and benefit cost ratio of the control strategy in the context of China's traffic condition. The coordination boundary was determined by the coordinatability model of intersections. The traffic volumes of intersections in the research area were dealt with the mixed clustering method to obtain the corresponding time-of-day strategies. On the basis of the previous study, the multiple-objective particle swarm optimization is used for the average delay to find the best switching time for time-of-day control. Relevant simulation indicates that when compared with current traffic control plans and mixed clustering optimization, the proposed strategy shows more advantages in termsof bandwidth of traffic control plan and delay optimization. After minimizing the disturbance caused by switching traffic control plans, the resulting decrement rate of average vehicle delay is 12.63% for the current traffic control plan and 2.45% for the mixed clustering optimization; the increasing bandwidth rates of the traffic control plan are 0.98% and 23.51%, respectively.
基金资助:Supported by MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No.17YJCZH225), Climbing Program of University of Shanghai for Science and Technology in Humanistic and Social Science Research(No.SK18PB03). the Humanistic and Social Science Research Funding of University of Shanghai for Science and Technology (No.SK17YB05)
通讯作者:
YAO Jiao
E-mail: yaojiao0907@126.com
引用本文:
姚佼, 徐洁琼, 倪屹聆. 城市干道多时段协调控制优化研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 60-70.
YAO Jiao, XU Jie-Qiong, NI Yi-Ling. Arterial Coordinated Optimization with Time-of-Day Control in Urban Areas. Journal of Highway and Transportation Research and Development, 2018, 12(3): 60-70.
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2018, Vol. 12 
