Deep Behavioral Cloning for Traffic Control with Virtual Expert Demonstration Under a Parallel Learning Framework
Li Xiaoshuang1,2; Zhu Fenghua1; Wang Fei-Yue1
2020
会议名称3rd IFAC Conference On Cyber-Physical & Human-Systems
会议日期2020-12
会议地点北京
出版者Elsevier
摘要

Intelligent traffic signal control is necessary for improving traffic efficiency. These fast changing and challenging traffic scenarios and demands are generally handled by professional traffic engineers. However, it may take years of time and thousands of practices to train such an engineer. This paper proposes a deep behavioral cloning method to learn how to control the traffic signal effectively and efficiently from virtual expert demonstration. The method imitates promising working behavior of optimized offline solutions, and applies it to solve online traffic signal control problems of the similar scenario. Different traffic demand patterns are generated through a combination of different kinds of components. Then the virtual demonstration is constructed by getting an exclusive and optimized solution for each generated virtual traffic demand pattern through a heuristic random search method. After that, a deep neural network-based behavioral cloning method is employed to learn from the virtual demonstration and finish on-line traffic signal control task. The experimental results show that compared with other methods, the proposed method significantly reduces the waiting time and time loss in different situations. And the average traffic speed of the road network at different saturation levels can be improved by 1.58% to 11.54%.

收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/48767
专题复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
通讯作者Zhu Fenghua
作者单位1.State Key Laboratory for Management and Control of Comples Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China
2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Li Xiaoshuang,Zhu Fenghua,Wang Fei-Yue. Deep Behavioral Cloning for Traffic Control with Virtual Expert Demonstration Under a Parallel Learning Framework[C]:Elsevier,2020.
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