| Summary: | 碩士 === 國立成功大學 === 交通管理學系碩博士班 === 100 === With the growth of private vehicles, serious traffic congestion has been a critical problem in recently year. In metropolitan area, traffic congestions are present on traffic corridors during peak hours. A traffic corridor includes freeway segments, ramps, and urban streets. Traffic control and management strategies are applied to enhance level of traffic service. The common strategies are signal design, ramp metering, route guidance and variable speed limits (VSLs). The aim in this research is to develop a simple integrated control model to solve the time-depended problem.
Intelligent Transportation Systems (ITS) integrate advanced techniques, such as telecommunication, navigation and control, with transportation systems, thus improve transportation efficiency. ITS aims to provide appropriate and real-time traffic information to drivers, and drivers can response to various traffic conditions in order to enhance traffic efficiency and safety.
In this research, an integrated control model is formulated based on the concept of store-and-forward and traffic flow characteristics, and the four common traffic management strategies are considered. The objective of mathematical model is to minimize total delay in traffic corridor. The model are solved through GAMS to obtain the optimal control settings, including effective green time, metering rates, control rates of VSLs. The performance of the proposed model is evaluated by simulation-assignment model, DynaTAIWAN.
In the numerical experiment, the model is implemented in Kaohsiung network. The results present that the influence of the various strategies is different in different cases, and the integrated control approaches can enhance traffic efficiency significantly. The advantage and disadvantage of the model are discussed and analyzed according to the numerical results.
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