多車道混合車流格位傳遞模式

Abstract

混合車流格位傳遞模式有效地將市區道路上的汽、機車競爭關係融入格位傳遞模式之中，但受限於格位傳遞模式切割均質化格位之限制，無法描述市區道路上常見之車道差異。因此，本文建立多車道混合車流格位傳遞模式(Multi-Lanes Mixed Traffic Cell Transmission Model)描述市區道路的車道差異現象。由於市區道路的車道差異現象可分為轉向車道差異與車種車道差異，因此，多車道混合車流格位傳遞模式將各種轉向車種自路段上游開始進行區分，並於車流推進時結合巨觀變換車道函數，最後至路段下游則按各車道進行紓解。透過觀察實際資料，變換車道於路段下游受到號誌、密度及密度差影響，到了路段上游則以車種和轉向為主。本文蒐集新竹市實際道路車流資料進行模式驗證，結果顯示，本文所建立模式模擬值與實際值差距為每輛汽車旅行時間誤差百分比為28%及每輛機車旅行時間誤差百分比則為-47%。

Mixed traffic cell transmission model (MCTM) can efficiently combine cell transmission model (CTM) with the behaviors of mixed traffic consisting of cars and motorcycles. The MCTM is restricted by the limitation of the homogeneous cell, it cannot describe the discrepancy between each lane on urban roads. Based on this, this study proposes multi-lanes mixed traffic cell transmission model to describe the lane difference on urban roads. Because the lane difference can be classified by turn-movement and vehicle type, the multi-lanes mixed traffic cell transmission model treat each turn-movement and vehicle type as one unit from the upstream of the road. The model combines with macro lane-changing function while the traffic propagation, and does the traffic discharge by each lane at the downstream of the road. Based on the field observations, the lane-changing is affected by signal, density and the difference of density at the downstream; the lane-changing is affected by turn-movement and vehicle type at the upstream. To validate the proposed model, videotaped traffic data in Hsinchu city are collected. The results show that the gap between the real data and the simulated data are the error percentage of the travel time of each car is 28% and the error percentage of the travel time of each motorcycle is 28%.