Providing Priority to Public Transit in the Absence of Dedicated Lanes: An Exploratory Experiment on the Automated Guideway Transit System

被引:3
作者
Huan, Ning [1 ]
Yao, Enjian [1 ,2 ]
Shen, Hao
机构
[1] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
[2] Railway Consultants Grp Co Ltd, Inst Urban Rail Transit Planning, China Commun Construct Co, Beijing 100088, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Transit signal priority; Sustainable transport; Cellular automata; Mixed traffic flow; Right-of-way; SIGNAL PRIORITY; BUS PRIORITY; INTERMITTENT; OPTIMIZATION; MODEL; TIME;
D O I
10.1061/JTEPBS.0000677
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a novel strategy for giving priority to automated guideway transit vehicles (AGTVs) in mixed traffic flow. From the perspective of road segments, a moving-block operation mode (MBOM) was proposed to help AGTVs eliminate the dependence on dedicated lanes. The car-following and lane-changing behaviors of both AGTVs and general vehicles were modeled using the theory of cellular automata. From the perspective of intersections, an MBOM-based dynamic multirequest signal priority (DMSP) model was developed to support the decision of multiple priority requests at the intersection. Notably, the DMSP model can synchronously deal with early green and green extension requests from the same or different phases. Extensive microsimulation experiments were conducted to examine the proposed strategy at various levels of traffic volume and AGTV headway. The results indicated that the MBOM outperforms the traditional strategy of setting up full-time or intermittent dedicated lanes, particularly in traffic conditions where the headway of AGTVs is longer than 300 s and the traffic volume is lower than 9.0 kpcu/h. Furthermore, the MBOM-based DMSP strategy was evaluated in terms of the performance of both traffic and energy efficiency. The per person travel time and coal consumption decreased by 6.93% and 1.61%, respectively, demonstrating the effectiveness of improving operational efficiency and sustainability of public transit. (C) 2022 American Society of Civil Engineers.
引用
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页数:17
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