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Alternative TitleCoordinated Urban Traffic Signal Control
Thesis Advisor赵冬斌
Degree Grantor中国科学院研究生院
Place of Conferral中国科学院自动化研究所
Degree Discipline控制理论与控制工程
Keyword交通信号控制 协调 智能控制 自适应动态规划 强化学习 Traffic Signal Control Coordination Intelligent Control Adaptive Dynamic Programming Reinforcement Learning
Abstract随着社会、经济的高速发展和城市化进程的加快,城市机动车数辆及道路交通量急剧增加,为现在社会带来诸如交通拥堵、环境污染等一系列问题。拥挤的城市交通反过来制约经济的发展和城市化的进程。解决交通拥堵是现代化都市面临的一个重要难题,除了丰富城市居民的出行方式之外,改进现有交通信号控制系统以充分发挥现有道路的通行能力,是公认的行之有效的措施。从理论上来说,城市交通信号控制系统是一个复杂巨系统,具有极强的随机性与非线性,因此,研究城市交通控制问题既具有理论价值又有很强的现实意义。 本论文对城市区域交通信号控制问题进行了研究,提出了基于自适应动态规划(ADP)的智能优化控制方法,结合强化学习的思想提出了强化训练算法。将此方法应用于城市区域多路口交通信号的协调控制上。在标准的微观交通仿真平台软件上实现了多种路网及路况的仿真分析,验证了所提算法的可靠性和实用性。论文的主要工作包括以下几个方面: 首先,介绍本论文的研究背景和意义、研究目的和任务,对交通信号控制的国内外研究现状进行了简要介绍,以及论文的主要内容和结构安排。 其次,给出了城市区域交通信号控制问题的基本描述,介绍了相关的智能控制理论与方法。 再次,设计了基于ADP算法和Q学习算法的街区路口交通信号优化控制算法。以单路口和双路口为例,在仿真平台上实现并验证了所提算法的有效性和可靠性。 然后,针对多交叉路口交通信号的协调优化控制问题,采用分布式协调控制策略,提出了一种强化训练的算法。在多种类型的路网及路况下对所提策略及算法进行了仿真验证。 最后,对本论文的研究成果进行了总结,并展望了需要进一步研究的工作。
Other AbstractWith the rapid development of society and economy, as well as the fast urbanization, the number of city motors and traffic flow increases dramatically. As a result, the city becomes crowded and congested, lagging the economic development and urbanization process. How to solve the traffic congestion is an important problem the metropolis facing now. Improving the existing traffic signal control system to increase the road capacity is recognized as an effective measure. Urban traffic signal control system is a giant complex system, with strong randomness and nonlinearity. Therefore, the study of urban traffic signal control has great significance in both theory and practice. This dissertation studies the issue of urban traffic signal control. Several traffic signal control methods are developed based on adaptive dynamic programming (ADP), which is a newly proposed intelligent optimization control method. Combining the idea of reinforcement learning, a reinforcement training algorithm is proposed. These methods are applied in urban traffic signal control system to address the coordination problems between intersections. To verify the reliability and practicality of the proposed methods, a series of experiments are conducted on a standard microscopic traffic simulation software. The main aspects of the dissertation are as follows. Firstly, the backgrounds and significance of this research, the purpose and our tasks are introduced. A brief introduction to the research status of traffic signal control is given. The major contents and the organization of the dissertation are also presented. Secondly, a brief analysis of traffic signal control problem, and related intelligent control theories and methods are described. Thirdly, several optimal traffic signal control algorithms based on the ADP and Q-learningare presented. In the simulation platform, the proposed algorithms are tested on a isolated intersection and dual intersections, to verify their validity and reliability. Fourthly, to achieve coordinately optimal control between multi-intersections, a distributed control strategy is adopted and a reinforcement training algorithm is proposed. Then the proposed algorithms are tested under various types of road networks and traffic conditions on the simulation platform. Finally, the obtained results are summarized and the future work is addressed.
Other Identifier200918014628003
Document Type学位论文
Recommended Citation
GB/T 7714
戴钰桀. 城市区域交通信号协调控制[D]. 中国科学院自动化研究所. 中国科学院研究生院,2012.
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