交通网络均衡理论下道路预约出行效益研究

doi:10.16097/j.cnki.1009-6744.2024.06.016

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (6): 179-192.DOI: 10.16097/j.cnki.1009-6744.2024.06.016

交通网络均衡理论下道路预约出行效益研究

陈恒瑞¹，汪香玉¹，周睿予²，高良鹏¹，陈红^*2

1. 福建理工大学，交通运输学院，福州350001；2.长安大学，运输工程学院，西安710064

收稿日期:2024-07-14 修回日期:2024-08-29 接受日期:2024-09-03 出版日期:2024-12-25 发布日期:2024-12-18
作者简介:陈恒瑞(1995- )，男，福建福州人，副教授，博士。
基金资助:
国家自然科学基金 (52302385)；福建理工大学科研启动项目 (GY-Z23212)。

Benefit of Road Reservation Travel Mode Under Traffic Network Equilibrium Theory

CHENHengrui¹,WANG Xiangyu¹,ZHOU Ruiyu²,GAO Liangpeng¹,CHEN Hong^*2

1. School of Transportation, Fujian University of Technology, Fuzhou 350001, China; 2. College of Transportation Engineering, Chang'an University, Xi'an 710064, China

Received:2024-07-14 Revised:2024-08-29 Accepted:2024-09-03 Online:2024-12-25 Published:2024-12-18
Supported by:
TheNationalNatureScienceFoundation of China (52302385)；The Fujian University of Technology Research Start-up Project (GY-Z23212)。

摘要/Abstract

摘要： 面向提高城市交通需求管理措施精细化水平的现实需求，基于预约出行模式的城市道路交通拥堵治理方法有望在未来智能交通系统中扮演重要角色。既有针对城市道路预约出行模式的研究存在预约路段的预约总量设置过于理想化，且多类用户的出行选择同质化，未考虑个体出行的多维决策变量及城市多模式交通协同作用的局限性。因此，本文首先采用删失数据模型和乘积极限法估计道路容量分布函数，引入持续流动指数，确定预约路段的最佳预约总量；其次，考虑用户的异质性，在城市多模式交通框架下建立多用户、多准则及多模式交通方式划分和交通分配组合模型。研究结果表明：道路最佳预约总量的范围约为道路实际通行能力的0.79~0.89；实施预约出行策略后，路网平均速度、平均饱和度和总出行成本较策略实施前分别改善了7.6%、7.9%和1.6%；此外，策略实施后，选择私家车出行的用户减少了4.19%，选择公共交通工具出行的用户增加了3.19%；不仅如此，时间价值不同的异质出行者受预约出行策略的影响呈现出显著的差异。研究结果有助于揭示预约出行策略在实际应用中可能带来的效益和挑战，为决策者提供宝贵的理论支持，有助于制定更加科学和有效的交通需求管理策略。

关键词: 城市交通, 预约出行, 交通网络均衡, 交通拥堵, 最佳预约容量

Abstract: To meet the escalating demand for sophisticated urban traffic demand management measures, the introduction of a Travel Reservation Strategy (TRS) in managing urban road congestion is expected to play an important role in shaping the future of intelligent transportation systems. However, existing research on TRS frequently encounters challenges, including oversimplified assumptions about total reservation volumes on reserved roads and homogeneous travel choices across users, without adequately considering the multi-dimensional decision variables of individual travel and the complexities of integrating urban multimodal transportation. In this study, the road capacity distribution function was estimated using censored data models and the product limit method, and the sustained flow index was introduced to determine the optimal reservation volume for designated roads. Additionally, considering user heterogeneity, a comprehensive model for multi-user, multi-criteria, and multi-modal traffic mode split and traffic assignment is formulated within the urban multimodal transportation framework. The findings reveal that the optimal reservation volume falls within a range of approximately 79% to 89% of the actual road capacity. Following the implementation of TRS, notable improvements were observed, with average road network speed increasing by 7.6%, average saturation enhancing by 7.9%, and total travel cost decreasing by 1.6%, compared to pre-implementation levels. Notably, the proportion of private car users declined by 4.19%, while the share of public transportation users grew by 3.19% . Heterogeneous travelers with different time values demonstrated distinct responses to TRS, highlighting the need for tailored strategies. These findings provide valuable insights into the potential benefits and challenges of TRS implementation, providing policymakers with essential theoretical underpinnings and contributing to the development of more scientific and effective traffic demand management strategies.

Key words: urban traffic, travel reservation strategy, traffic network equilibrium, traffic congestion, optimal reservation volume

中图分类号:

U121

陈恒瑞, 汪香玉, 周睿予, 高良鹏, 陈红. 交通网络均衡理论下道路预约出行效益研究[J]. 交通运输系统工程与信息, 2024, 24(6): 179-192.

CHENHengrui, WANG Xiangyu, ZHOU Ruiyu, GAO Liangpeng, CHEN Hong. Benefit of Road Reservation Travel Mode Under Traffic Network Equilibrium Theory[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(6): 179-192.

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交通网络均衡理论下道路预约出行效益研究

Benefit of Road Reservation Travel Mode Under Traffic Network Equilibrium Theory

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