Institute of Transportation, MOTC

Wei-Hann Chang , 2006.06

Department of Transportation Technology & Management
National Chiao Tung University

 　　In Taiwan, the motorcycle traffic flow volume is high. Most reviewed literature emphasizes automobile traffic flow only. However, the traffic behavior of mixed automobile and motorcycle flow is different. This study is based on car-following theory, microscopic traffic flow theory, kinematic theorems, fuzzy theory, and behavioral threshold model. Statistic analysis, neural networks, adaptive neuro-fuzzy inference systems was employed to analyze rural mixed flow. The data of car-following on rural areas was collected by the video camera recorder.
　　Car-following models were built to simulate various flow conditions. Flow characteristic of mixed traffic, road geometry and drivers’ behavior in rural areas was analyzed. Separate models with adaptive neuro-fuzzy inference systems were constructed. Lane-changing behavior models were also calibrated to reflect different flow combinations. The results of this study can be applied for ITS-oriented signal control and traffic management.