應用智慧型號誌控制器執行適應性交通控制之研究

本研究為TCIS(Traffic Communication and Information Station)控制器發展出適應性交通號誌控制邏輯。本法係採兩階段水平推移法改良OPAC(Optimization Policies for Adaptive Control)模式的缺失。所提模式之優點在於縮短決策時段長度，減少偵測器誤差對系統績效計算之影響。本研究利用Java程式語言成功開發出TCIS控制器實用與模擬系統。決策模式採路口總延滯為績效指標，係以各臨近路段之等候線長度總和為系統的延滯值基準。經分析發現，當臨近路段未達飽和車流量時，路口績效取決於最小綠燈時間的限制，在V/C值0.7以下時，本研究之適應性號誌控制邏輯可以明顯降低路口總延滯，在V/C為0.5時有最佳控制效果。但當車流量增多V/C值達0.8時，此適應性號誌控制模式卻與定時控制效果相當。

關鍵字

交通控制；適應性交通控制；交通號誌系統

並列摘要

This study develops an adaptive signal control logic for an intelligent traffic controller ”TCIS” (Traffic Communication and Information Station). The method uses two stages rolling on the projection horizon for vehicle estimation and phase-changing decision, which modifies the OPAC (Optimization Policies for Adaptive Control) model. The proposed method can save time for decision-making, and reduce errors from detectors. A system for application and simulation of the proposed model is built. The performance criteria guiding the decision model is the total delay time, estimated on the basis of queue lengths for all the approaches. For the simulations of the study, the model works well in conditions of under saturation. The delay observed is reduced when V/C is lower than 0.7. This constitutes an improvement compared to a pretime system. The optimal effect occurs when V/C has a value of 0.5. However when V/C approaches 0.8, the proposed model gradually becomes equivalent to a pretime system.

並列關鍵字

Traffic control ； Adaptive traffic control ； Traffic signal system

參考文獻

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