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原文传递 Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
题名: Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
其他题名: Bergsma,H.A.(2006).European ramp metering project(deliverable D3.2)simulation testing for local ramp metering strategies,European Commission,Brussels,Belgium.
正文语种: 英文
作者: Chao Lu
关键词: Ramp metering;Reinforcement learning;Asymmetric cell transmission model;ALINEA
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.
出版年: 2017
论文唯一标识: P-72Y2017V143N07009
英文栏目名称: TECHNICAL PAPERS
doi: 10.1061/JTEPBS.0000036
期刊名称: Journal of Transportation Engineering
拼音刊名(出版物代码): P-72
卷: 143
期: 07
页码: 72-82
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