TY - GEN
T1 - Development of genetic fuzzy logic controller-based ramp metering strategies
AU - Chiou, Yu-Chiun
AU - Wang, Yun Ching
PY - 2005/12
Y1 - 2005/12
N2 - 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.
AB - 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.
KW - Genetic algorithms
KW - Genetic fuzzy logic controller
KW - Ramp metering
UR - http://www.scopus.com/inward/record.url?scp=84894581804&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84894581804
SN - 9889884712
SN - 9789889884710
T3 - Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
SP - 200
EP - 209
BT - Transportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
T2 - 10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005
Y2 - 10 December 2005 through 10 December 2005
ER -