Applying the Cell Transmission Model and Estimated Turning Proportions for Adaptive Signal Control Logic

• Main Authors: Ti-ChenTsai, 蔡滌塵
• Other Authors: Shou-Ren Hu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/19734545490988969587

碩士 === 國立成功大學 === 交通管理學系碩博士班 === 101 === Traffic signal control has become the most important issue in urban traffic management. Traffic congestion occurs when pre-timed signal control could not meet the actual demand, such as inappropriate signal timing or discontinued phases in arterials. Adaptive signal control logic obtains traffic flow data from vehicle detectors. According to the traffic prediction model and control logic, adaptive control calculates optimal signal decisions which could reduce delay and stops. This research has developed three models from Taiwanese adaptive control logic called COMDYCS-3E, which includes turning proportion estimation model, traffic prediction with cell transmission model (CTM), and six steps timing decision process. We used Signal Control API from VISSIM software to establish adaptive signal control logic, and measured the performance by simulating in VISSIM environment. After the traffic experiment of urban arterial, results showed that the RMSE of turning proportion estimation model is about 0.07. And adaptive signal control logic improves more than 5% system delay against pre-timed and fully actuated signal control.