版权说明 操作指南
首页 > 成果 > 详情

Variable Speed Limit Control Based on Deep Deterministic Policy Gradient under Mixed Traffic Environment

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Xibin Ding;Zhaolei Zhang;Zhizhen Liu;Feng Tang
作者机构:
[Zhaolei Zhang; Zhizhen Liu; Feng Tang] Changsha University of Science and Technology, China
[Xibin Ding] Changsha University of Science and Technology, School of Transportation Engineering, China
语种:
英文
期刊:
SAE International Journal of Connected and Automated Vehicles
ISSN:
2574-0741
年:
2025
卷:
9
期:
1
页码:
1-16
机构署名:
本校为第一机构
院系归属:
交通运输工程学院
摘要:
The existing variable speed limit (VSL) control strategies rely on variable message signs, leading to slow response times and sensitivity to driver compliance. These methods struggle to adapt to environments where both connected automated vehicles (CAVs) and manual vehicles coexist. This article proposes a VSL control strategy using the deep deterministic policy gradient (DDPG) algorithm to optimize travel time, reduce collision risks, and minimize energy consumption. The algorithm leverages real-time traffic data and prior speed limits to generate new control actions. A reward function is des...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com