图 书 馆
IntelliLight：一种用于智能交通灯控制的强化学习方法IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control |
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| 课程网址: | http://videolectures.net/kdd2018_zheng_intellilight/ |
| 主讲教师: | Guanjie Zheng |
| 开课单位: | 宾夕法尼亚州立大学 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The intelligent traffic light control is critical for an efficient transportation system. While existing traffic lights are mostly operated by hand-crafted rules, an intelligent traffic light control system should be dynamically adjusted to real-time traffic. There is an emerging trend of using deep reinforcement learning technique for traffic light control and recent studies have shown promising results. However, existing studies have not yet tested the methods on the real-world traffic data and they only focus on studying the rewards without interpreting the policies. In this paper, we propose a more effective deep reinforcement learning model for traffic light control. We test our method on a large-scale real traffic dataset obtained from surveillance cameras. We also show some interesting case studies of policies learned from the real data. |
| 关 键 词: | IntelliLight; 用于智能交通灯控制; 强化学习方法; 大规模真实交通数据集; 智能交通灯控制 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-27：cyh |
| 最后编审: | 2023-05-19：liyy |
| 阅读次数: | 51 |