Development of genetic fuzzy logic controller-based ramp metering strategies

Yu-Chiun Chiou, Yun Ching Wang

研究成果: Conference contribution同行評審

摘要

This paper develops two genetic fuzzy logic controller-based ramp metering strategies (GFLC-RM): isolated and integrated. The isolated strategy (GFLC-RMIS) uses mainline traveling speed and on-ramp queue length as state variables, metering rate as control variable. Based on GFLC-RM IS and considering the effects of upstream metering traffic, the integrated strategy (GFLC-RMIT) further incorporates the metering rate of upstream ramp as an additional state variable. For comparison, two conventional ramp metering strategies: pre-timed optimal ramp metering (GOP-RM) strategy and fuzzy logic controller-based ramp metering (FLC-RM) strategy are also proposed. These strategies are validated by both exemplified and field cases. In comparing to the strategy of without metering, a consistent result of these two cases can be found that GFLC-RMIT outperforms, followed by GFLC-RMIS, FLC-RM, and GOP-RM. The performances of proposed GFLC-RM strategies have been proven.

原文English
主出版物標題Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
頁面200-209
頁數10
出版狀態Published - 12月 2005
事件10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 - Kowloon, Hong Kong
持續時間: 10 12月 200510 12月 2005

出版系列

名字Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005

Conference

Conference10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005
國家/地區Hong Kong
城市Kowloon
期間10/12/0510/12/05

指紋

深入研究「Development of genetic fuzzy logic controller-based ramp metering strategies」主題。共同形成了獨特的指紋。

引用此