道路交通系统韧性及路段重要度评估

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (2): 114-121.

道路交通系统韧性及路段重要度评估

吕彪^{* 1}，高自强¹，刘一骝²

1. 西南交通大学信息科学与技术学院，成都 610031； 2. 挪威科技大学生产与质量工程系，特隆赫姆 NO 7491，挪威

收稿日期:2019-10-23 修回日期:2020-02-19 出版日期:2020-04-25 发布日期:2020-04-30
作者简介:吕彪(1980-)，男，重庆荣昌人，讲师，博士.
基金资助:
教育部人文社会科学研究青年基金/ Ministry of Education Humanities and Social Sciences Research Youth Fund Project (18YJC630115)；中央高校基本科研业务费专项资金/ Fundamental Research Funds for the Central Universities of Ministry of Education of China(2682018CX28).

Evaluation of Road Transportation System Resilience and Link Importance

LV Biao¹, GAO Zi-qiang¹, LIU Yi-liu²

1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China; 2. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim NO 7491, Norway

Received:2019-10-23 Revised:2020-02-19 Online:2020-04-25 Published:2020-04-30

摘要/Abstract

摘要：

韧性可以全面描述扰动事件下系统吸收干扰并从干扰中恢复的能力. 针对已有韧性指标对系统性能评价不全面、未考虑交通流量影响等问题，从路段通行能力退化与恢复入手，以网络效率为系统性能指标，构建全面评价扰动事件影响期内系统性能的韧性指标. 分别基于乐观和悲观视角提出韧性增加值和韧性减少值路段重要度指标，提出识别路段重要度的启发式算法. 算例结果表明：本文提出的韧性指标可全面描述扰动事件下路网性能退化与恢复全过程的平均累积性能，更加符合韧性指标内涵；韧性增加值和韧性减少值指标均能有效识别路段重要度，大部分路段重要度随时间动态变化.

关键词: 交通工程, 韧性, 网络效率, 道路交通系统, 日变交通配流, 韧性增加值, 韧性减少值

Abstract:

Resilience comprehensively describes the ability of a roadway system to absorb and recover from a disruptive event. The existing resilience metrics can be improved to measure the system performance more accurately and the impact of traffic flow should be considered in the evaluation. This study first examined the roadway capacity degradation and recovery processes, then used the network efficiency as a measure of system performance to develop a resilience metric for the entire disruptive event duration period. The study proposed the resilience achievement worth (RAW) and resilience reduction worth (RRW) indices to reflect the link importance respectively from the optimistic and pessimistic perspectives, and the heuristic algorithm was used to identify the importance degrees of roadway links. The results from the examples show that the proposed resilience metric is able to measure the average cumulative performance of the roadway system during the entire degradation and recovery processes after a disruptive event, which is more consistent with the function of resilience metric. The indices of RAW and RRW are also able to effectively identify the link importance degree. The importance degrees of most of the roadway links change dynamically with time.

Key words: traffic engineering, resilience, network efficiency, road transportation system, day- to-day traffic assignment, resilience achievement worth, resilience reduction worth

中图分类号:

U491

吕彪，高自强，刘一骝. 道路交通系统韧性及路段重要度评估[J]. 交通运输系统工程与信息, 2020, 20(2): 114-121.

LV Biao, GAO Zi-qiang, LIU Yi-liu. Evaluation of Road Transportation System Resilience and Link Importance[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(2): 114-121.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract20018.shtml

http://www.tseit.org.cn/CN/Y2020/V20/I2/114

参考文献

[1] ZHOU Y M, WANG J W, YANG H. Resilience of transportation systems: concepts and comprehensive review[J]. IEEE Transactions on Intelligent Transportation Systems, 2019(4): 1-15.

[2] FATURECHI R, MILLER- HOOKS E. Measuring the performance of transportation infrastructure systems in disasters: a comprehensive review[J]. Journal of Infrastructure Systems, 2015, 21(1): 1-15.

[3] REGGIANI A, NIJKAMP P, LANZI D. Transport resilience and vulnerability: The role of connectivity[J]. Transportation Research Part A, 2015(81): 4-15.

[4] MATTSSON L G, JENELIUS E. Vulnerability and resilience of transport systems: a discussion of recent research[J]. Transportation Research Part A, 2015(81): 16-34.

[5] HOSSEINI S, BARKER K, RAMIREZ-MARQUEZ J E. A review of definitions and measures of system resilience [J]. Reliability Engineering and System Safety, 2016, (145): 47-61.

[6] PATRIARCA R, BERGSTRÖM J, GRAVIO G D, et al. Resilience engineering: Current status of the research and future challenges[J]. Safety Science, 2018, 102(2): 79-100.

[7] LIU W, SONG Z Y. Review of studies on the resilience of urban critical infrastructure networks[J]. Reliability Engineering and System Safety, 2020(193): 1-16.

[8] MURRAY-TUITE P M. A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions[C]// Proceedings of the 2006 Winter Simulation Conference, IEEE, California: Monterey, 2006: 1398-1405.

[9] IP W H, WANG D. Resilience and friability of transportation networks: evaluation, analysis and optimization[J]. IEEE Systems Journal, 2011, 5(2): 189- 198.

[10] TWUMASI-BOAKYE R, SOBANJO J O. Resilience of regional transportation networks subjected to hazardinduced bridge damages[J]. Journal of Transportation Engineering, Part A: Systems, 2018, 144(10): 1-13.

[11] HENRY D, RAMIREZ-MARQUEZ J E. Generic metrics and quantitative approaches for system resilience as a function of time[J]. Reliability Engineering & System Safety, 2012, 99(3): 114-122.

[12] ZHANG X G, MAHADEVAN S, SANKARARAMAN S, et al. Resilience-based network design under uncertainty[J]. Reliability Engineering and System Safety, 2018, 169(1): 364-379.

[13] LIAO T Y, HU T Y, KO Y N. A resilience optimization model for transportation networks under disasters[J]. Natural Hazards, 2018, 99(1): 469-489.

[14] 黄海军. 城市交通网络平衡分析: 理论与实践[M]. 北京: 人民交通出版社, 1994. [HUANG H J. Urban transportation network equilibrium analysis: theory and practice[M]. Beijing: China Communications Press, 1994.]

[15] 张玺. 基于网络效率的日变路网脆弱性识别方法[J]. 交通运输系统工程与信息, 2017, 17(2): 176-182. [ZHANG X. Day-to-day road network vulnerability identification based on network efficiency[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(2): 176-182.]

[16] FANG Y P, PEDRONI N, ZIO E. Resilience- based component importance measures for critical infrastructure network systems[J]. IEEE Transactions on Reliability, 2016, 65(2): 502-512.

[17] NGUYEN S, DUPUIS C. An efficient method for computing traffic equilibria in networks with asymmetric transportation costs[J]. Transportation Science,1984, 18 (2):185-202.