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

被引:0
|
作者
Guo X. [1 ]
Xiao Z. [1 ,2 ]
Zhang Y. [1 ]
Zhang Y. [1 ]
Xu P. [1 ]
机构
[1] School of Transportation, Southeast University, Nanjing
[2] Jiangsu Provincial Planning and Design Group Co., institute of Transport Planning and Engineering, Ltd., Nanjing
关键词
connected automated vehicles; cooperative adaptive cruise control; deep deterministic policy gradient algorithm; eight-lane highway work zone area; variable speed limit control;
D O I
10.3969/j.issn.1001-0505.2024.02.012
中图分类号
学科分类号
摘要
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-following behaviors of human-driven vehicles and connected automated vehicles (CAVs) , respectively. A composite 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 values 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%. © 2024 Southeast University. All rights reserved.
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收藏
页码:353 / 359
页数:6
相关论文
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