都市路網號誌連鎖策略改進之研究

SIGNAL-COORDINATION IMPROVEMENT STRATEGIES FOR URBAN TRAFFIC NETWORKS

先進交通管理系統（advanced traffic management systems, ATMS）之交通車流的偵測技術有許多的突破，如何利用相關的車流資料進行都市內連鎖系統的建立，已成為ATMS發展中重要的課題。本研究根據不同的車流資料，利用路段及路徑演算法選取幹道，採用以PASSER II模式概念建立號誌連鎖之最佳號誌時制設計。最後，研究利用DynaTAIWAN程式，針對虛擬與實際的路網進行模式數值測試與驗證分析。

How to improve signal efficiency in urban traffic networks is a critical issue for the success of Advanced Traffic Management Systems (ATMS). Based on advanced traffic surveillance and management systems, link flow data and path flow data are available to traffic management centers to design efficient signal control strategies. This research aims at designing appropriate arterials for signal coordination, and associate signal strategies for these arterials. According to different data, link-based and path-based algorithms are developed for arterial selection, and the signal optimization algorithm is based on PASSER-based algorithms. Numerical experiments on different traffic networks are conducted based on DynaTAIWAN to illustrate the algorithm developed in this research.