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考虑智能网联车辆影响的八车道高速公路施工区可变限速控制方法

过秀成 肖哲 张一鸣 张叶平 许鹏宇

东南大学学报(自然科学版)2024,Vol.54Issue(2):353-359,7.
东南大学学报(自然科学版)2024,Vol.54Issue(2):353-359,7.DOI:10.3969/j.issn.1001-0505.2024.02.012

考虑智能网联车辆影响的八车道高速公路施工区可变限速控制方法

Variable speed limit control method in work zone area of eight-lane highway considering effects of connected automated vehicles

过秀成 1肖哲 2张一鸣 1张叶平 1许鹏宇1

作者信息

  • 1. 东南大学交通学院,南京 211189
  • 2. 东南大学交通学院,南京 211189||江苏省规划设计集团有限公司交通规划与工程设计院,南京 210019
  • 折叠

摘要

Abstract

To improve the traffic operation efficiency and safety of highway work zone areas under the Internet of vehicles,a variable speed limit(VSL)control method based on reinforcement learning was proposed.The intelligent driving model and the model based on real vehicle experiments were selected to model the car-fol-lowing behaviors of human-driven vehicles and connected automated vehicles(CAVs),respectively.A com-posite reward was constructed with the traffic throughput of bottleneck downstream segment(TTBDS)as an efficiency indicator and the standard deviation of bottleneck segment speed(SDBSS)as a safety indicator.The deep deterministic policy gradient algorithm was utilized to dynamically yield the optimal speed limit val-ues for each lane.The simulation results show that the proposed VSL control method can effectively improve traffic flow efficiency and safety under different penetration rates(PRs)of CAVs.The improvement is more obvious under lower PRs of CAVs.When the PR of the CAVs is 1.0,the TTBDS is increased by 10.1%and the mean of SDBSS is decreased by 68.9%.When the PR of the CAVs is 0,the TTBDS is increased by 20.7%and the mean of SDBSS is decreased by 78.1%.The introduction of CAVs can increase the TTBDS by up to 52.0%.

关键词

可变限速控制/深度确定性策略梯度算法/八车道高速公路施工区/智能网联车辆/协同自适应巡航控制

Key words

variable speed limit control/deep deterministic policy gradient algorithm/eight-lane highway work zone area/connected automated vehicles/cooperative adaptive cruise control

分类

交通工程

引用本文复制引用

过秀成,肖哲,张一鸣,张叶平,许鹏宇..考虑智能网联车辆影响的八车道高速公路施工区可变限速控制方法[J].东南大学学报(自然科学版),2024,54(2):353-359,7.

基金项目

江苏省交通厅重大科技专项资助项目(2017Z02). (2017Z02)

东南大学学报(自然科学版)

OA北大核心CSTPCD

1001-0505

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