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Multistage Fuzzy Logic Controller for Expressway Traffic Control during Incidents
| 题名： | Multistage Fuzzy Logic Controller for Expressway Traffic Control during Incidents |
| 正文语种： | eng |
| 作者： | Trinh Dinh Toan;Meng, Meng;Lam, Soi Hoi;Wong, Yiik Diew |
| 作者单位： | Thuyloi Univ Dept Transportat Engn 175 Tay Son Hanoi 116830 Vietnam;Univ Bath Sch Management Bath BA2 7AY Avon England;Univ Macau Dept Civil & Environm Engn Ave Univ Taipa Macao Peoples R China;Nanyang Technol Singapore Sch Civil & Environm Engn 50 Nanyang Ave Singapore 639798 Singapore |
| 关键词： | Multistage fuzzy logic controller (MS-FLC);Incident management;Traffic control;Traffic simulator;Ramp metering |
| 摘要： | In this research study, a multistage fuzzy logic controller (MS-FLC) was developed for traffic control in incident management on expressways. The MS-FLC serves as the traffic operator's decision-making support tool at the operational level. The MS-FLC gathers real-time traffic and incident data to analyze and predict traffic conditions, as well as to recommend alternative control measures to the traffic operator in the form of linguistic expressions. The MS-FLC is embedded in a traffic simulator controller (TSC) prototype, and was evaluated by comparing its performance with no control scenario and ALINEA\Q, a popular local ramp control algorithm, across several incident scenarios in a simulation environment. In general, MS-FLC outperformed ALINEA\Q with respect to global objectives. In particular, whereas the ALINEA\Q algorithm favors the mainline, the MS-FLC algorithm significantly improves mainline travel conditions while substantially reducing ramp queues. It is concluded that, if properly designed, the MS-FLC can be a robust tool for traffic control on expressways under incident conditions. |
| 出版年： | 2022 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 148 |
| 期： | 6 |
| 页码： | 04022027.1-04022027.14 |
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