非線性系統於高快速道路整合匝道儀控之研究

A Nonlinear Control System for Integrated Freeway Ramp Metering

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 expressway 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.

Traffic jam frequently occurs on urban freeway or expressway 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.