TIEN-PEN HSUHsieh T.-H.2022-11-162022-11-162012https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896902369&partnerID=40&md5=045b3c452c1cd9204f7739802fb036b0https://scholars.lib.ntu.edu.tw/handle/123456789/625201Ramp metering can effect on mitigating the traffic congestion on freeway. In Taiwan, the conventional Local Traffic Responsive (LTR) ramp metering model based on the capacity and demand algorithm is adopted for freeway ramp control. However, the recurrent congestion still occurs often every day and causes stop and go traffic at rush-hour frequently. This paper developed and adopted a new Fuzzy Logic Control (FLC) algorithm based on the real traffic situation for ramp metering control on the freeway, by taking Freeway No.1 as case, in order to enhance the ramp metering performance on relieving traffic congestion. Through the comparative analysis using microscopic simulation, the FLC ramp metering results in slightly higher performance than the LTR ramp metering on mitigating the congestion.Freeway; Fuzzy logic control; Ramp metering; Traffic simulationAlgorithms; Highway systems; Traffic congestion; Comparative analysis; Fuzzy logic control; Microscopic simulation; Model-based OPC; Ramp metering; Ramp metering control; Stop-and-go traffic; Traffic simulations; Traffic signalsconference paper2-s2.0-84896902369