| Summary: | 碩士 === 逢甲大學 === 交通工程與管理所 === 91 === Abstract
As a common and important problem in many urban areas around the world, traffic congestion causes tremendous public concern, Intelligent Transportation Systems (ITS) focus on increasing the efficiency of existing surface transportation systems through the use of advanced computers, electronics, and communication technologies. Dynamic models have been developed to utilize ITS technologies; however, results from the dynamic models have not been able to integrate with traditional planning procedures in order to evaluate future traffic conditions.
Traditional transportation planning procedures, due to the static essence, could only be applied in long-term transportation projects. Under ITS, real-time or daily operations of traffic measures depend on long-term planning results; however, current planning procedure could not provide fundamental functions for dynamic analysis. In order to capture dynamic traffic characteristics, transportation planning models should play an important role to integrate basic data with real-time traffic management and control. Also, to overcome data complexity, Geography Information System for Transportation (GIS-T) needs to be considered within a dynamic transportation planning procedure.
In this research, an integrated framework for GIST, ITS, transportation planning models is proposed and associated attributes and interrelationships are explored. The framework establishes the link between dynamic (or real-time information) with planning procedures. In this framework, traditional sequential aggregate planning procedures, including trip generation, trip distribution, modal split, and traffic assignment, are considered and extended to the dynamic models.
The overall system is illustrated through numerical experiments base on the Taichung city network, and dynamic variations in traffic flow patterns are oberserved and compared with result from traditional assignment technigues.
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