應用車隊擴散理論於構建巨觀型網路適應性號誌控制模式之研究

The Development of a New Macroscopic Traffic-adaptive Signal Control Model by Applying the Platoon Dispersion Theory

本研究嘗試將巨觀性質的車流模式引進至適應性交通控制策略之中，期使車流模式之運作得到適當的簡化，以求達到更大的網路應用擴充性;實質上，你將車隊擴散模式合併至網路型之適應性號誌決策模式中，以瞭解巨觀性車流推進模式是否能與適應性號誌控制的熱構相互整合與彼此相容。將模式建構完成後，經相關之模擬分析可發現，本研究所發展的號誌控制模式在車輛延滯的績效上表現十分優異，雖在停等百分比方面略為遜色，然就其綜合續效指標而言，在所有納入評比之號誌控制策略中，仍像以適應性號誌控制模式之表現為最佳。又在處理路口停等車隊對撿散距離之影響方面，本研究發現以新創之變動區問擴散方式來處理路段車流之擴散現象要比傳統上藉垂直疊車法來處理更為符合實際狀況，而其延滯時問之增加亦能符合先驗之知識。

This study attempts to integrate a local-developed traffic-adaptive signal control strategy with another macroscopic traffic simulation model, so as to improve model flexibility and expendability to practical applications. Furthermore, the suitability for applying this concept into the above traffic-adaptive signal control strategy is also surveyed in the study. According to the test outcomes, it is found that the proposed traffic-adaptive signal control model presents better perfermance than traditional traffic-actuated model as well as the pre-timed control strategy in terms of the average delay time per vehicle, although it is slightly inferior to them in terms of the percentage of stops. After integrating these two performance indices, we still find the proposed traffic-adaptive signal control strategy can signifìcantly obtain the best performance. Meanwhile, it is found that adopting the horizontal quene back-up function is more accurate than amploying the vertical quene back-up function, and the corresponding increase in vehicle delay times is more realistic.