| Summary: | 碩士 === 國立交通大學 === 運輸科技與管理學系 === 93 === In recent years as Intelligent Transportation Systems (ITS) develop further, the demand for traffic information increases as well. Among the subsystems of ITS, Advanced Transportation Information System (ATIS) demands “Traffic Flow” much, for it can be applied in many ways for a better supporting of decision making.
Vehicle detectors (VD) in the intersections are responsible for collecting the data of “Traffic Flow”, and thus, the easiest way to obtain that is to install numerous VDs in every intersection - but this may cost too much to be possible in practical. Therefore, with limited budget, we have to choose proper deployment locations of VDs to utilize them more efficiently.
This research proposes a method to optimize the deployment locations of VDs through flow reservation equations and fixed turning rates. After that, deployed VDs are removed gradually in several removal methods to meet the limitation of budget. Meanwhile, a traffic flow-estimating algorithm is used for testing the efficiency of each VD removal method.
The testing results show that the proposed method helps improve the accuracy and efficiency under limited number of VDs.
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