| Summary |
Yu Kai Wang, 2006.06
Department of Transportation Technology & Management
National Chiao Tung University
In Taiwan, most traffic flow is mixed automobiles and motorcycles flow. This situation influences the road capacity, traffic flow order and safety. To solve this problem, some reviewed literature emphasizes setting up the motorcycle exclusive lane by traffic engineering method, could improve traffic order and safety effectively. However, motorcycle traffic flow study is quite scarce abroad. In Taiwan, though there are a lot of studies of motorcycle traffic flow, they are aimed to mixed traffic flow rather than motorcycles exclusively. As a result, the microscopic motorcycle traffic flow study is incomplete.
This study is attempted to structure and verify microscopic motorcycle traffic flow models on motorcycle exclusive lane by carrying on the investigation and analysis with the real traffic flow materials on the section road. This study is based on car-following theory, lane-changing theory and fuzzy theory. Motorcycle car following and overtaking model were built with literature review, statistics analytic approach, video investigation method and artificial intelligence algorithms etc. Car following model was built by the fuzzy inference approach, combining artificial neural network and genetic algorithm, and further compare the quality of them. Overtaking model was built by analyzing the characteristics of the angle of overtaking, and then setting up overtaking decision procedure and criterions for describing the motorcycle traffic flow of the motorcycle exclusive lane completely. As a result, this study results could serve as the basis of improving the motorcycle traffic planning and design, and control. |
