張堂賢莊國欽Chang, Tang-HsienTang-HsienChangChuang, Kou-CHinKou-CHinChuang2008-10-232018-07-092008-10-232018-07-092004-12http://ntur.lib.ntu.edu.tw//handle/246246/85180都市地區高快速道路路段於晨昏峰時段，因上匝道需求及交織量大，經常發生交通壅塞。交通壅塞致使運輸效率降低與增加空氣污染。不連鎖的獨立匝道儀控系統效率則難達最佳化。本研究採Payne車流模式以泰勒展開式及連鎖律推導法，構建出一非線性系統整合匝道儀控模型，目標在使系統流量最大。在以中山高速公路臺北都會區路段及建國南北高架快速道路T形系統交叉之晨峰、昏峰的交通資料讀入模擬分析驗證結果，發現本模式可相當有效紓解尖峰時刻車輛壅塞的情形。Traffic jam frequently occurs on urban freeway or experssway sections, particularly during morning and evening peak periods with heavily weaving and on-ramp demand. Congestion reduces transport efficiency and increases air pollution. With an isolated on-ramp meeting control, it will not reach optimum. In this study, we applied Taylor's expansion and chaining law to Payne's dynamic traffic flow model, then formulated a nonlinear system model for integrated ramp metering control. The objective is to maximize the system throughputs. Using the T-type linked road network of the Sun Yat-Sen Freeway and Chan-Kuo Expressway in Taipei City as a test site, a simulation analysis revealed that the proposed model was able to relieve the traffic from congestion.application/pdf1163861 bytesapplication/pdfen-US非線性控制匝道儀控車流模式交通控制Nonlinear controlRamp metering controlTraffic flow modelTraffic control[SDGs]SDG11journal articlehttp://ntur.lib.ntu.edu.tw/bitstream/246246/85180/1/14.pdf