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A self-learning system for local ramp metering with queue management
Lu, Chao1; Huang, Jie2
2017
Source PublicationTRANSPORTATION PLANNING AND TECHNOLOGY
ISSN0308-1060
Volume40Issue:2Pages:182-198
Corresponding AuthorHuang, Jie(huangjie@igsnrr.ac.cn)
AbstractThis paper presents the design and evaluation process of a self-learning system for local ramp metering control. This system is developed on the basis of reinforcement learning (RL) and can deal with the problem of on-ramp queue management through a continuous learning process. A general framework of the system design including the definition of RL elements and an algorithm that can accomplish the learning process is proposed. Simulation tests are carried out to evaluate the performance of the new system. In terms of the total time spent by road users, the new system can achieve a 30% reduction from the situation of no control, a result which is competitive with the widely accepted algorithm ALINEA. Meanwhile, simulation results show that the new system can keep on-ramp queues strictly under a series of pre-specified constraints, which proves its capability of managing on-ramp queues.
KeywordIntelligent transport systems traffic flow model ramp metering reinforcement learning simulation
DOI10.1080/03081060.2016.1266166
WOS KeywordVARIABLE-SPEED LIMITS ; FREEWAY ; NETWORK ; MODEL
Indexed BySCI
Language英语
Funding ProjectChina Scholarship Council ; University of Leeds (CSC-University of Leeds scholarship) ; Beijing Institute of Technology Research Fund Program for Young Scholars
Funding OrganizationChina Scholarship Council ; University of Leeds (CSC-University of Leeds scholarship) ; Beijing Institute of Technology Research Fund Program for Young Scholars
WOS Research AreaTransportation
WOS SubjectTransportation Science & Technology
WOS IDWOS:000394972300003
PublisherTAYLOR & FRANCIS LTD
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64816
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Jie
Affiliation1.Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Lu, Chao,Huang, Jie. A self-learning system for local ramp metering with queue management[J]. TRANSPORTATION PLANNING AND TECHNOLOGY,2017,40(2):182-198.
APA Lu, Chao,&Huang, Jie.(2017).A self-learning system for local ramp metering with queue management.TRANSPORTATION PLANNING AND TECHNOLOGY,40(2),182-198.
MLA Lu, Chao,et al."A self-learning system for local ramp metering with queue management".TRANSPORTATION PLANNING AND TECHNOLOGY 40.2(2017):182-198.
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