基于电子路票与连接道路的绕城高速缓解市区交通拥堵方案研究

doi:10.16097/j.cnki.1009-6744.2025.01.031

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (1): 331-344.DOI: 10.16097/j.cnki.1009-6744.2025.01.031

基于电子路票与连接道路的绕城高速缓解市区交通拥堵方案研究

唐继孟¹，张磊¹，李建²，朱永祥¹，蔡路¹，余岳^*1

1. 湖南工业大学，轨道交通学院，湖南株洲412007；2.湖南省交通科学研究院有限公司，长沙410114

收稿日期:2024-10-14 修回日期:2024-11-26 接受日期:2024-12-03 出版日期:2025-02-25 发布日期:2025-02-24
作者简介:唐继孟(1989—)，男，湖南邵阳人，讲师，博士。
基金资助:
国家自然科学基金(52172403)；湖南省教育厅科学研究项目(22C0297)。

Urban Traffic Congestion Mitigation Using Ring Expressway with Tradable Credit Scheme and Connecting Links

TANG Jimeng¹, ZHANG Lei¹, LI Jian², ZHU Yongxiang¹, CAI Lu¹, YU Yue^*1

1. College of Railway Transportation, Hunan University of Technology, Zhuzhou 412007, Hunan, China; 2. Hunan Communications Research Institute Co Ltd, Changsha 410114, China

Received:2024-10-14 Revised:2024-11-26 Accepted:2024-12-03 Online:2025-02-25 Published:2025-02-24
Supported by:
National Natural Science Foundation of China(52172403)；Research Foundation of Education Bureau of Hunan Province (22C0297)。

摘要/Abstract

摘要： 为缓解市区交通压力，解决绕城高速免费通行政策引发的局部拥堵和财政补贴压力，本文提出一种结合可交易电子路票和新建连接道路的联合交通管理方案。通过构建双目标双层规划模型，刻画政府部门、绕城高速公司和出行者之间的互动机制。上层模型描述政府部门和绕城高速公司为实现各自目标而制定的可交易电子路票和新建连接道路的联合方案；下层模型描述出行者在该联合方案下的选择行为，并通过约束绕城高速各路段的流量维持其正常服务水平。此外，设计结合NSGA-II(Non-dominatedSorting Genetic Algorithm II)与FW(Frank-Wolfe)的算法，用于求解该模型。研究结果表明，与现行的绕城高速免费方案和其他单一方案相比，该联合方案具有明显的Pareto改善，能够最大程度地减少系统出行时间(降低18.56%)，同时，显著增加绕城高速公司的收益(增长51.5%)。通过对比单一可交易电子路票方案与联合方案下城市道路饱和度的分布发现，联合方案能够更有效地利用绕城高速缓解市区交通拥堵，减少严重拥堵路段数量，并增加非拥堵路段的数量，且不会导致路票价格过高，对出行者更加友好。最后，本文对OD需求、路票收取路段数上限、连接道路新建数量上限和路票价格展开灵敏度分析，探究其对联合方案的影响。

关键词: 城市交通, 联合方案, 双目标双层规划, 绕城高速, 可交易电子路票

Abstract: To improve the traffic operation of the city area and address the localized congestion and fiscal subsidy challenges arising from the free passage policy on the ring expressway, this paper proposes a combined traffic management scheme integrating tradable credit scheme and newly constructed connecting links. A bi-objective bilevel programming model is proposed and the interaction mechanisms is analyzed among government departments the ring expressway company, and travelers. The upper-level model outlines the joint scheme formulated by the government and the ring expressway company to achieve their respective objectives. In contrast, the lower-level model depicts traveler behavior under this joint scheme while constraining traffic flow on various links of the ring expressway to maintain its normal service levels. Additionally, an algorithm combining non-dominated sorting genetic algorithm II and Frank-Wolfe alogrithm is designed to solve this model. The results indicate that, compared to the current free passage scheme and other standalone solutions, the joint scheme achieves significant Pareto improvements, maximizing reductions in system travel time (by 18.56% ) and substantially increasing the ring expressway company's revenue (by 51.5%). A comparative analysis of urban road saturation distributions shows key differences between the standalone tradable credit scheme and the joint scheme. The joint scheme more effectively utilizes the ring expressway to alleviate urban traffic congestion. It reduces the number of severely congested links and increases the number of uncongested links. Moreover, it avoids excessively high credit price, making it more traveler-friendly. Additionally, the sensitivity analyses were conducted to examine the impacts of OD demand, upper limits of credit-charged links, number of new connecting links, and credit price on the effectiveness of the joint scheme.

Key words: urban traffic, integrated scheme, bi-objective bi-level programing, ring expressway, tradable credit scheme

中图分类号:

U491.4

唐继孟, 张磊, 李建, 朱永祥, 蔡路, 余岳. 基于电子路票与连接道路的绕城高速缓解市区交通拥堵方案研究[J]. 交通运输系统工程与信息, 2025, 25(1): 331-344.

TANG Jimeng, ZHANG Lei, LI Jian, ZHU Yongxiang, CAI Lu, YU Yue. Urban Traffic Congestion Mitigation Using Ring Expressway with Tradable Credit Scheme and Connecting Links[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(1): 331-344.

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http://www.tseit.org.cn/CN/Y2025/V25/I1/331

参考文献

[1]马丁玲.长沙绕城高速实施免费通行交通影响分析[D]. 长沙: 长沙理工大学, 2021. [MA D L. Analysis on traffic influence of free passage of Changsha ring expressway[D]. Changsha: Changsha University of Science & Technology, 2021.]

[2]饶宗皓,赵儒玉,崔姝,等.成都绕城高速公路取消收费交通影响分析[J]. 综合运输, 2020, 42(2): 120-126. [RAO Z H, ZHAO R Y, CUI S, et al. Traffic impact analysis of canceling charges on the circle freeway of Chengdu city[J]. China Transportation Review, 2020, 42 (2): 120-126]

[3]YANG H, WANG X. Managing network mobility with tradable credits[J]. Transportation Research Part B: Methodological, 2011, 45(3): 580-594.

[4]WANG G, GAO Z, XU M, et al. Models and a relaxation algorithm for continuous network design problem with a tradable credit scheme and equity constraints[J].Computers & Operations Research, 2014, 41: 252-261.

[5]WANGJP, LIU T L, HUANG H J. Tradable OD-based travel permits for bi-modal traffic management with heterogeneous users[J]. Transportation Research Part E: Logistics and Transportation Review, 2018, 118: 589 605.

[6]FAN W, XIAO F, NIE Y. Managing bottleneck congestion with tradable credits under asymmetric transaction cost[J]. Transportation Research Part E: Logistics and Transportation Review, 2022, 158: 102600.

[7]MIRALINAGHI M, PEETA S. Promoting zero-emissions vehicles using robust multi-period tradable credit scheme [J]. Transportation Research Part D: Transport and Environment, 2019, 75: 265-285.

[8]WANG G, GAO Z, XU M. Integrating link-based discrete credit charging scheme into discrete network design problem[J]. European Journal of Operational Research, 2019, 272(1): 176-187.

[9]WANG G, XU M, GRANT-MULLER S, et al. Combination of tradable credit scheme and link capacity improvement to balance economic growth and environmental management in sustainable-oriented transport development: A bi-objective bi-level programming approach[J]. Transportation Research Part A: Policy and Practice, 2020, 137: 459-471.

[10] WANG G, LI Y, XUM, et al. Operating a public-private mixed road network via determining tradable credits and road tolls: An equilibrium problem with equilibrium constraints approach[J]. International Journal of Sustainable Transportation, 2021, 15(2): 87-96.

[11] BAO Y, GAO Z, YANG H, et al. Private financing and mobility management of road network with tradable credits[J]. Transportation Research Part A: Policy and Practice, 2017, 97: 158-176.

[12] GAO G, SUN H, WU J, et al. Park-and-ride service design under a price-based tradable credits scheme in a linear monocentric city[J]. Transport Policy, 2018, 68: 1 12.

[13] ZANG G, XU M, GAO Z. High-occupancy vehicle lane management with tradable credit scheme: An equilibrium analysis[J]. Transportation Research Part E: Logistics and Transportation Review, 2020, 144: 102120.

[14] 田丽君,陈金凤,徐淑贤.双模式系统中组合策略与通行能力协同优化[J]. 系统工程理论与实践,2021,41(9): 2355-2366. [TIAN L J, CHEN J F, XU S X. Collaborative optimization for the combined strategy and capacity allocation in a bi-modal system[J]. Systems Engineering-Theory & Practice, 2021, 41(9): 2355 2366.]

[15] 朱鸿伟,田丽君,许岩.鼓励合乘的可交易电子路票策略管理混合时代出行需求[J].系统工程理论与实践, 2022, 42(5): 1314-1326. [ZHU H W, TIAN L J, XU Y. The tradable credit scheme that encourages carpooling manage the travel demand in the era of mixed traffic[J]. Systems Engineering-Theory & Practice, 2022, 42(5): 1314-1326.]

[16] 徐猛, 高自友.基于可交易出行路票的城市交通需求管理[J]. 交通运输系统工程与信息,2021, 21(5): 12-21. [XU M, GAO Z Y. Tradable credits scheme for urban travel demand management[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(5): 12-21.]

基于电子路票与连接道路的绕城高速缓解市区交通拥堵方案研究

Urban Traffic Congestion Mitigation Using Ring Expressway with Tradable Credit Scheme and Connecting Links

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