专题:智能交通

新型导向运输系统路权优先策略及适应性

  • 郇宁 ,
  • 姚恩建 ,
  • 沈昊
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  • 1. 北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室, 北京 100044;
    2. 中交铁道设计研究总院有限公司 城市轨道交通设计院, 北京 100088

收稿日期: 2021-01-15

  网络出版日期: 2022-03-10

基金资助

姚恩建,教授,E-mail:enjyao@bjtu.edu.cn

Adaptability analysis of priority strategy for the novel guideway transit system

  • HUAN Ning ,
  • YAO Enjian ,
  • SHEN Hao
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  • 1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China;
    2. Institute for Urban Rail Transit Planning, CCCC Railway Consultants Group Co., Ltd., Beijing 100088, China

Received date: 2021-01-15

  Online published: 2022-03-10

摘要

新型导向运输系统是一种面向车路协同环境、非轮轨接触式的中高运量道路公共交通方式,为保障其在公共路权下的优先通行权,该文提出一种前端无侵入式的路权优先策略,并设计与之适配的动态信号优先控制策略,从路段和交叉口两个层面实现导向车辆全运行过程的路权保障。通过算例对比了无路权优先、全时与间歇专用道、前端无侵入4种策略在不同路段交通条件下的适应性,以及与动态信号优先控制策略的协同效应。结果表明:前端无侵入策略适用于导向车辆行车间隔大于300 s的非密集运行状态,前端无侵入区间的长度应根据交通量确定;在"前端无侵入+动态信号优先"的组合策略下,导向车辆平均运行时间缩短13.24%,人均运行时间降低6.29%。

本文引用格式

郇宁 , 姚恩建 , 沈昊 . 新型导向运输系统路权优先策略及适应性[J]. 清华大学学报(自然科学版), 2022 , 62(3) : 533 -539 . DOI: 10.16511/j.cnki.qhdxxb.2021.26.012

Abstract

Guideway transit system is a novel kind of trackless mass public transit. To give priority to guideway transit vehicles in the mixed traffic flow, a front-end non-invasive-based priority strategy is proposed to improve the overall operational efficiency of the system, along with a supporting strategy for implementing dynamic signal priority control (DSPC). A series of simulation experiments are conducted to compare the adaptability of four priority strategies (i.e., non-priority, full time or intermittent dedicated lane and the proposed front-end non-invasive strategies) in a wide range of traffic conditions. The results show that the proposed strategy fits into the non-intensive operation condition where the departure interval of the guideway transit vehicle is greater than 300 s. The length of the front-end non-invasive section ought to be determined by the traffic volume. Under the integrated strategy of front-end non-invasive strategy and DSPC, the mean travel time of guideway transit vehicle decreases by 13.24%, and the per person travel cost decreases by 6.29%.

参考文献

[1] 杨静, 石俊刚, 魏堂建. 考虑交叉口负面影响的有轨电车时刻表优化[J]. 系统工程理论与实践, 2019, 39(10):2676-2688.YANG J, SHI J G, WEI T J. Optimizing tram timetables considering the negative effects at intersections[J]. Systems Engineering-Theory & Practice, 2019, 39(10):2676-2688. (in Chinese)
[2] 张红亮, 陈哲昊, 代盛旭, 等. 基于公交优先的虚拟导向列车路权定位研究[J]. 交通工程, 2019, 19(6):23-27.ZHANG H L, CHEN Z H, DAI S X, et al. Research on the right of way positioning of virtual guided train based on public transit priority[J]. Journal of Transportation Engineering, 2019, 19(6):23-27. (in Chinese)
[3] 刘昱岗, 王卓君, 刘艳芳, 等. 基于ANFIS的可变导向车道智能控制系统[J]. 交通运输工程学报, 2017, 17(4):149-158.LIU Y G, WANG Z J, LIU Y F, et al. Intelligent control system of variable approach lane based on adaptive neuro-fuzzy inference system[J]. Journal of Traffic and Transportation Engineering, 2017, 17(4):149-158. (in Chinese)
[4] 曲大义, 万孟飞, 王兹林, 等. 干线协调控制优化及其应用[J]. 交通运输工程学报, 2016, 16(5):112-121.QU D Y, WAN M F, WANG Z L, et al. Arterial coordination control optimization and application[J]. Journal of Traffic and Transportation Engineering, 2016, 16(5):112-121. (in Chinese)
[5] VIEGAS J M, LU B. Intermittent bus lane system:Demonstration in Lisbon[J]. Transportation Research Part B, 2007:431-436.
[6] GULER S I, CASSIDY M J. Strategies for sharing bottleneck capacity among buses and cars[J]. Transportation Research Part B, 2012, 46(10):1334-1345.
[7] ZHU H. Numerical study of urban traffic flow with dedicated bus lane and intermittent bus lane[J]. Physical A:Statistical Mechanics and its Applications, 2010, 389:3134-3139.
[8] WU D X, DENG W, SONG Y, et al. Evaluating operational effects of bus lane with intermittent priority under connected vehicles environments[J]. Discrete Dynamics in Nature and Society, 2017:1659176.
[9] 谢秋峰, 李文权, 贾晓欢, 等. 设置间歇式公交专用进口道的流量条件研究[J]. 交通运输工程与信息学报, 2012, 10(2):117-124.XIE Q F, LI W Q, JIA X H, et al. Research on traffic flow conditions for set intermittent bus-only approach[J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 10(2):117-124. (in Chinese)
[10] 谢秋峰, 李文权, 邱丰, 等. 设置间歇式公交专用道的道路路段通行能力[J]. 交通信息与安全, 2012, 30:34-39.XIE Q F, LI W Q, QIU F, et al. Capacity of road section with intermittent bus lane[J]. Journal of Transport Information and Safety, 2012, 30:34-39. (in Chinese)
[11] XU H, ZHENG M. Impact of bus-only lane location on the development and performance of the logic rule-based bus rapid transit signal priority[J]. Journal of Transportation Engineering, 2012, 138(3):293-314.
[12] HE H, GULER S I, MENENDEZ M. Adaptive control algorithm to provide bus priority with a pre-signal[J]. Transportation Research Part C, 2016, 64:28-44.
[13] BHATTACHARYY A K, MAITRA B, BOLTZE M. Implementation of bus priority with queue jump lane and pre-signal at urban intersections with mixed traffic operations:Lessons learned[J]. Transportation Research Record, 2019, 2673(3):646-657.
[14] CHRISTOFA E, SKABARDONIS A. Traffic transit signal priority to an isolated intersection[J]. Transportation Research Record, 2011, 2259:192-201.
[15] 尚春琳, 刘小明, 李正熙, 等. 基于公交优先的交叉口定周期多时段划分方法[J]. 武汉理工大学学报(交通科学与工程版), 2016, 40(5):839-844.SHANG C L, LIU X M, LI Z X, et al. Intersection fixed cycle multi-period division methods based on bus priority[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2016, 40(5):839-844. (in Chinese)
[16] FURTH P G, CESME B, RIMA T. Signal priority near major bus terminal[J]. Transportation Research Record, 2010, 2192:89-96.
[17] 乔文鑫, 王锭. 基于交叉口可靠性的公交优先信号配时优化模型[J]. 交通运输系统工程与信息, 2017(2):54-59.QIAO W X, WANG D. A transit signal priority optimizing model based on reliability[J]. Journal of Transportation Systems Engineering and Information Technology, 2017(2):54-59. (in Chinese)
[18] 郭海锋, 周悦, 袁鑫良, 等. 短时预测下单点自适应公交信号优先控制方法[J]. 浙江工业大学学报, 2017, 45(1):23-31.GUO H F, ZHOU Y, YUAN X L, et al. Adaptive transit priority control of isolated intersection based on short-term prediction[J]. Journal of Zhejiang University of Technology, 2017, 45(1):23-31. (in Chinese)
[19] SONG X, YUAN M, LIANG D, et al. Optimization method for transit signal priority considering multirequest under connected vehicle environment[J]. Journal of Advanced Transportation, 2018:7498594.
[20] SHU S, ZHAO J, HAN Y. Signal timing optimization for transit priority at near-saturated intersections[J]. Journal of Advanced Transportation, 2018:8502804.
[21] NAGEL K, SCHRECKENBERG M. A cellular automaton model for freeway traffic[J]. Journal de Physique I (France), 1992(2):2221-2229.
[22] JIANG R, HU M, ZHANG H. On some experimental features of car-following behavior and how to model them[J]. Transportation Research Part B, 2015, 80, 338-354.
[23] 贾斌, 高自友, 李克平, 等. 基于元胞自动机的交通系统建模与模拟[M]. 北京:科学出版社, 2007.JIA B, GAO Z Y, LI K P, et al. Models and simulation of traffic system based on the theory of cellular automation[M]. Beijing Science Press, 2007. (in Chinese)
[24] 邓建华, 冯焕焕, 葛婷. 多车道元胞自动机换道决策模型的冲突处理策略[J]. 交通运输系统工程与信息, 2019, 19(4):50-54.DENG J H, FENG H H, GE T. Conflict handling strategies of lane-changing decision model of multi-lane cellular automata[J]. Journal of Transportation Systems Engineering and Information Technology. 2019, 19(4):50-54. (in Chinese)
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