Taxi-Passenger-Demand Modeling Based on Big Data from a Roving Sensor Network.

IEEE Transactions on Big Data(2017)

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摘要
Investigating passenger demand is essential for the taxicab business. Existing solutions are typically based on offline data collected by manual investigations, which are often dated and inaccurate for real-time analysis. To address this issue, we propose Dmodel, employing roving taxicabs as real-time mobile sensors to (i) infer passenger arriving moments by interactions of vacant taxicabs, and th...
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关键词
Real-time systems,Hidden Markov models,Big data,Data models,Global Positioning System,Training,Manuals
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