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篇名
幹道系統延滯最小下續進路口數最大化模式之研究
並列篇名
A Model for Maximum Progression under Minimum Delay along an Urban Arterial
作者 林良泰黃華宇黃啟倡
中文摘要
都市地區的道路系統運作往往是根據時制計畫的設計才能讓車輛有秩序且安全地通行,而幹道通行順暢程度更是充分地反應了都市交通狀況。本研究以延滯值最小、續進路口最大為目標進行數學規劃求解,第一階段以延滯最小值求解週期、時比,第二階段導入續進最大路口數模式求取時差,並以虛擬情境執行時制計畫,透過車流模擬軟體TSIS評斷本模式與Synchro之時制最佳化於模擬情境下績效比較。經過驗證後在某些情境,本模式具有較佳績效表現,即可套用於某些路況作為求解時制計畫參考。因此本研究導入實際道路路網進行實證分析,應用對象為臺中市連鎖六路口,雖會造成車輛於某一路口停等時間較久,但於六連鎖路口系統中停等次數會減少、行駛速率提升。
英文摘要
Arterial systems play a critical role in urban traffic environment. Their operational performance could reflect traffic flow conditions. Progression effects are important indexes of positive measures along an arterial. In this study, we introduce a model for maximum number of progression intersections by determination of offset to increase the progression performance of an arterial system. But delay as a disutility measure is also a concern for road users. This paper aims to solve two different objectives along an arterial for both considerations of delay and progression. In the first stage, we get the coordinated cycle and individual split of each intersection. In the second stage, we get the optimal offset with the model for maximum number of progression intersections. For the validation process, we use a pseudo network to verify the operational performance under different scenarios. By comparisons of the measures of effectiveness (MOEs), we find the two-stage model resulting in better performance under some specified scenarios by the software of TSJS and Synchro. After this initial validation, we use six coordinated intersections in Taichung City as a field evaluation. The applied period is the morning peak hours on a weekday. The field validation shows that the two-stage model could decrease the MOEs of the percentage of stops and increase travel speed with a little increasing of average delay, by comparing Synchro and current field timing plans.
起訖頁 529-554
關鍵詞 時制計畫綠燈帶寬幹道系統延滯Timing planBandwidthArterial systemDelay
刊名 運輸學刊  
期數 201212 (24:4期)
出版單位 中華民國運輸學會
該期刊-上一篇 線上型車輛巡迴路線問題:混合型啟發式演算法之應用
 

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