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Tourism Travel Mode Identification Based on Cell Phone Signaling Data

机译:基于手机信令数据的旅游出行方式识别

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With the development of tourism, traffic congestions of the road connecting tourist attractions are increasing. It is important of analyzing tourism travel mode to alleviate traffic congestion and guide tourism volume. This paper focuses on the tourism travel mode choice behavior, a travel mode identification algorithm based on cell phone signaling data is proposed. Firstly, the time-space threshold algorithm is designed to identify the origin point of travel, then travel mode identification model is established based on fuzzy identification theory. The identification results are compared with the results of Badaling Great Wall tourism travel mode questionnaire survey, which shows that they are basically consistent.
机译:随着旅游业的发展,连接旅游景点的道路的交通拥堵正在增加。分析旅游出行方式对缓解交通拥堵,引导旅游量具有重要意义。针对旅游出行方式选择行为,提出了一种基于手机信号数据的出行方式识别算法。首先设计了时空阈值算法来识别出行起点,然后基于模糊识别理论建立了出行方式识别模型。将识别结果与八达岭长城旅游出行方式问卷调查结果进行比较,表明两者基本吻合。

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