長幹道之號誌連鎖模式：整合路口分群與續進

Signal Coordination Models for Long Arterial: Integrating Intersection Grouping and Progression

幹道續進之號誌連鎖控制長久以來被視為可有效改善幹道車流運作效率的方法之一。然而，由於連鎖路口數及綠燈帶寬間存有權衡關係，隨著幹道長度增加伴隨著路口數量的增加，最大綠燈帶寬法常面臨難以同時替幹道雙向設計有效率之號誌時制計畫的問題。因此，本研究以MaxBand模式為基礎，提出一個混合整數線性規劃模式，以同時進行長幹道路口群組劃分及最大綠燈帶寬設計之最佳化，並考量車隊在路段間之車流擴散行為，避免求解之最大綠燈帶過於樂觀之不合理結果。為驗證本研究模式之有效性，以新北市新台五路13個號誌化路口作為實例驗證場域。結果顯示，本研究所求解之路口分群與時制計畫優於以主觀分群準則進行分群之MaxBand模式及MaxBandLA模式，足見本模式之有效性。

Signal progression control has long been viewed as an effective strategy to improve traffic operation efficiency along a long arterial. However, there is a trade-off between the number of intersections and the green bandwidth. As the number of intersections along an arterial increases, the bandwidth-based method is hardly to generate an effective bandwidth which allows traffics in both directions to fully utilize the progression band. Hence, how to optimally decompose the intersections along an arterial into several subsystems for better signal progression is a critical issue. To tackle this issue, this study proposes a mixed-integer linear programming model to optimally decompose a long arterial into groups and determine the maximum bandwidths of each group simultaneously. Additionally, to acknowledge the traffic dispersion behaviors along two consecutive intersections which may jeopardize the effectiveness of progression, the proposed model also accommodates the traffic dispersion behaviors. To validate the performance of the proposed model, a case study on Xintai 5th Road with 13 signalized intersections in New Taipei City is conducted. The results show that the proposed model performs better than the Maxband and MaxbandLA models based on subjectively intersections grouping, suggesting the performance and applicability of the proposed model is satisfied.