| 注册
首页|期刊导航|交通信息与安全|借用城市公交专用道行驶的智能网联车辆轨迹优化方法

借用城市公交专用道行驶的智能网联车辆轨迹优化方法

付凤杰 李博林 金盛

交通信息与安全2024,Vol.42Issue(6):103-111,9.
交通信息与安全2024,Vol.42Issue(6):103-111,9.DOI:10.3963/j.jssn.1674-4861.2024.06.011

借用城市公交专用道行驶的智能网联车辆轨迹优化方法

Trajectory Optimization for Connected Automated Vehicles Borrowing Urban Dedicated Bus Lane

付凤杰 1李博林 2金盛2

作者信息

  • 1. 浙江警察学院公共安全风险治理实验室 杭州 310053||浙江大学智能交通研究所 杭州 310058
  • 2. 浙江大学智能交通研究所 杭州 310058
  • 折叠

摘要

Abstract

Connected and automated vehicles(CAV)can reduce the mutual interference with human driving vehi-cles(HDV),thereby enhancing the utilization efficiency of bus lanes,which is one of the important ways to improve the operation efficiency of CAV in the current mixed traffic flow environment.The trajectory optimization model of CAV utilizing bus lanes is proposed,taking into account the constraints of bus lane trajectory,the physical character-istics of the bus lane,and the traffic signal timing scheme.This model incorporates the overtaking behavior of CAVs at harbor bus stops.The model is decomposed into sub-models and meshed in time and space to elucidate the specif-ic process of model solution.The solution method is established based on a greedy algorithm-like algorithm,and the model is solved using MATLAB and yalmip solving tools.To illustrate the efficacy of the proposed model,numeri-cal simulations are conducted for the bus lane on Moganshan Road in Hangzhouas a case study.These simulations analyzed the impact of various factors,including harbor-style bus stop,bus stop time,and traffic signal timing pa-rameters on the model results,and further verified the effectiveness of the model.The results show that the bus stop time will significantly affect the CAV travel speed,and with the increase of bus stopping time,the CAV travel speed will increase first and then decrease.The results show that a collaborative optimization of bus stop time and traffic signal timing can enhance the operational efficiency of CAV.Furthermore,the presence of harbor-style bus stops has been found to augment the CAV operation speed by 10%when compared to the absence of such infrastructure.

关键词

交通控制/智能网联车辆/轨迹优化/公交专用道

Key words

traffic control/connected and automated vehicle/trajectory optimization/dedicated bus lane

分类

交通工程

引用本文复制引用

付凤杰,李博林,金盛..借用城市公交专用道行驶的智能网联车辆轨迹优化方法[J].交通信息与安全,2024,42(6):103-111,9.

基金项目

国家重点研发计划项目(2023YFB4302600)、国家自然科学基金项目(72361137006)、浙江省自然科学基金杰出青年基金项目(R23E080015)、浙江省基础公益研究计划项目(LGF22F030008)资助 (2023YFB4302600)

交通信息与安全

OA北大核心CSTPCD

1674-4861

访问量0
|
下载量0
段落导航相关论文