中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning

文献类型:期刊论文

作者Lu, Chao1,2; Huang, Jie2,3; Deng, Lianbo4; Gong, Jianwei1
刊名JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
出版日期2017-07-01
卷号143期号:7页码:11
关键词Ramp metering Reinforcement learning Asymmetric cell transmission model ALINEA
ISSN号2473-2907
DOI10.1061/JTEPBS.0000036
通讯作者Lu, Chao(chaolu@bit.edu.cn)
英文摘要Reinforcement learning (RL) has been applied to solve ramp-metering problems and attracted increasing attention in recent studies. However, improving traffic efficiency is the main concern of these applications, and the issue relating to user equity has not been well considered. A new RL-based system is developed in this paper to deal with equity-related problems. With the definition of three RL elements, including reward, action, and state, this system can capture the information of user equity and balance it with traffic efficiency. Simulation experiments using real traffic data collected from a real-world motorway stretch are designed to test the performance of the new system. Compared with a widely used ramp-metering algorithm ALINEA, the new system shows superior performance on improving both traffic efficiency and user equity. Specifically, with suitable parameter settings, the new system can reduce the total time spent (TTS) by motorway users by 18.5% and maintain an equally distributed total waiting time (TWT) with a low standard deviation for TWT across on-ramps close to 0. (C) 2017 American Society of Civil Engineers.
WOS关键词FREEWAY ; CONGESTION ; NETWORK ; DESIGN
资助项目China Scholarship Council and University of Leeds (CSC-University of Leeds scholarship) ; National Natural Science Foundation of China[91420203] ; National Natural Science Foundation of China[51275041] ; Beijing Institute of Technology Research Fund Program for Young Scholars
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000401978300001
出版者ASCE-AMER SOC CIVIL ENGINEERS
资助机构China Scholarship Council and University of Leeds (CSC-University of Leeds scholarship) ; National Natural Science Foundation of China ; Beijing Institute of Technology Research Fund Program for Young Scholars
源URL[http://ir.igsnrr.ac.cn/handle/311030/64492]  
专题中国科学院地理科学与资源研究所
通讯作者Lu, Chao
作者单位1.Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
2.Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Lu, Chao,Huang, Jie,Deng, Lianbo,et al. Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning[J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS,2017,143(7):11.
APA Lu, Chao,Huang, Jie,Deng, Lianbo,&Gong, Jianwei.(2017).Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning.JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS,143(7),11.
MLA Lu, Chao,et al."Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning".JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 143.7(2017):11.

入库方式: OAI收割

来源:地理科学与资源研究所

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