原文传递
Variable Speed Limit Control for Mixed Traffic Flow on Highways Based on Deep-Reinforcement Learning
| 题名： | Variable Speed Limit Control for Mixed Traffic Flow on Highways Based on Deep-Reinforcement Learning |
| 正文语种： | eng |
| 作者： | Heyao Gao;Hongfei Jia;Ruiyi Wu;Qiuyang Huang;Jingjing Tian;Chao Liu;Xiaochao Wang |
| 作者单位： | School of Transportation Jilin Univ. Changchun 130022 China;School of Transportation Jilin Univ. Changchun 130022 China;School of Transportation Jilin Univ. Changchun 130022 China;School of Transportation Jilin Univ. Changchun 130022 China;Sch |
| 关键词： | Variable speed limit (VSL); Connected and automated vehicles (CAVs); Reinforcement learning; Mixed traffic flow |
| 摘要： | With the development of autonomous driving, a mixed traffic flow state composed of connected automated vehicles (CAVs) and human-driven vehicles (HVs) will last for an extended period. The abundant computing resources and CAVs with high compliance in the |
| 出版年： | 2024 |
| 期刊名称： | Journal of Transportation Engineering, Part A: Systems |
| 卷： | 150 |
| 期： | 3 |
| 页码： | 04023147.1-04023147.19 |
相关文献
- Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach
- Optimal Differential Variable Speed Limit Control in a Connected and Autonomous Vehicle Environment for Freeway Off-Ramp Bottlenecks
- An Integrated Framework for Real-Time Intelligent Traffic Management of Smart Highways
- Improved Speed Control Strategy for Mixed Traffic Flow Considering Roadside Unit
- Robust Deep Learning Architecture for Traffic Flow Estimation from a Subset of Link Sensors
- Tabu Search Strategies for Variable Speed Limit Control at a Lane Drop Bottleneck
检索历史
应用推荐
