华南理工大学学报(自然科学版) ›› 2025, Vol. 53 ›› Issue (8): 42-49.doi: 10.12141/j.issn.1000-565X.240355

• 智慧交通系统 • 上一篇    下一篇

自动驾驶模块化公交服务优化研究

张积昱1 唐春艳2   

  1. 1.长安大学 运输工程学院,陕西 西安 710064;

    2. 大连海事大学 交通运输工程学院,辽宁 大连 116026


  • 出版日期:2025-08-25 发布日期:2024-12-27

Research on Optimizing Service of Autonomous Modular Buses

ZHANG Jiyu1 TANG Chunyan2   

  1. 1. School of Transportation Engineering, Chang’an University, Xi’an 710064, Shaanxi,China;

    2. College of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China

  • Online:2025-08-25 Published:2024-12-27

摘要:

自动驾驶模块化公交是一种新兴的智能网联载运工具,可通过车辆间的自由组合/分离操作,实现公交容量灵活设计。为了充分发挥模块化公交的灵活性,使其更适应客流时空需求,提出了考虑跳站策略的模块化公交服务模式。首先,采用离散时间建模方法和拓展的Newell理论,以乘客出行成本和企业运营成本最小为优化目标,构建自动驾驶模块化公交跳站服务优化模型,实现发车间隔、发车编组及跳站计划的同时优化。其次,以丹东市公交110路线路为例,给出优化后的运营方案,并与平峰和高峰时段下的传统固定容量公交服务模式和模块化公交全程式服务模式进行比较。结果表明,本文提出的模块化公交跳站服务模式极大地节约系统总成本,约3.34%-24.65%;其中,乘客等待时间成本和在途时间成本分别节约7.49%-48.52%和2.31%-6.28%。

关键词: 运输工程, 模块化公交, 跳站策略, 时变客流, 容量设计

Abstract:

Autonomous modular buses are emerging intelligent connected transport tools. They can freely couple/decouple during operation to flexibly design bus capacity. In order to make full use of the modular bus flexibility to adapt to spatio-temporal passenger demand, this study proposes a service mode of autonomous modular buses with skip-stop strategy. First, using a discrete time modelling method and the extended-Newell theory, this work establishes the optimization model of modular bus operation with the objective function of passenger travel cost and operator operation cost to determine departure headway, vehicle formulation, and skip-stop scheme, simultaneously. Second, the developed model is used in the case study of bus line 110 in Dandong, China. The obtained results show that compared with the traditional bus system and modular buses with full-stop strategy under peak and off-peak periods, the proposed modular bus service mode with skip-stop strategy will significantly save the system cost of 3.34%-24.65%, where passenger waiting time cost and in-vehicle time cost save 7.49%-48.52% and 2.31%-6.28%, respectively.

Key words: transportation engineering, modular bus, skip-stop strategy, time-varying passenger demand, capacity design