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《城市交通》杂志
2026年 第2期
网联交通环境下公交优先信号控制与轨迹协同优化
点击量:196

文章编号: 1672-5328(2026)02-0037-11

蒋贤才,梁辰
(东北林业大学土木与交通学院,黑龙江哈尔滨150040)

摘要: 传统公交优先信号控制策略对社会车辆通行效率影响较大。针对这一问题,利用网联自动驾 驶汽车(Connected and Automated Vehicles, CAVs)轨迹可控与网联人工驾驶汽车(Connected Humandriven Vehicles, CHVs)轨迹可诱导的技术优势,提出一种基于轨迹优化的公交优先信号控制(Transit Priority Control based on Trajectory Optimization, TPC-TO)策略。该策略通过延迟开启或提前结束冲 突车流绿灯时间,并对冲突车流中的车辆实施轨迹优化,在保障公共汽电车优先通行的同时,有效 减少对社会车辆通行利益的侵占。仿真结果表明,相较于传统公交优先信号控制策略,TPC-TO策 略使交叉口整体车均延误下降了18.4%。进一步分析表明,CAV渗透率、公共汽电车和社会车辆交 通量,以及社会车辆目标车速等因素对TPC-TO策略的实施效果有显著影响。

关键词: 交通工程;公交优先信号控制;轨迹优化;网联交通;公交专用车道

中图分类号: U491.2

文献标识码:A

Transit Priority Control and Trajectory Coordination Optimization in a Connected Traffic Environment

Jiang Xiancai, Liang Chen
(College of Civil Engineering and Transportation, Northeast Forestry University, Harbin Heilongjiang 150040, China)

Abstract: Conventional transit priority signal control strategies considerably reduce the operational efficiency of general traffic. To address this issue, this paper leverages the controllable trajectories of Connected and Automated Vehicles (CAVs) and the inducible trajectories of Connected Human- driven Vehicles (CHVs) to propose a Transit Priority Control based on Trajectory Optimization (TPC-TO) strategy. The proposed strategy adjusts signal timing by delaying the onset or advancing the termination of green phases for conflicting traffic flows, while applying trajectory optimization to vehicles within those flows. This approach ensures priority for buses and trolleybuses while reducing encroachment on the right-of-way of general vehicles. Simulation results indicate that, compared to conventional TPC strategies, the TPC-TO strategy reduces the average vehicle delay at intersections by 18.4%. Further analysis indicates that CAV penetration rate, traffic volumes of buses, trolleybuses, and general vehicles, as well as the target speed of general vehicles, have significant effects on the performance of the TPC-TO strategy.

Keywords: Traffic engineering; transit priority control; trajectory optimization; connected traffic; dedicated bus lanes