Abstract
Taxis account for a large percent of urban public passenger transport. This research proposes a monitor model of analyzing unoccupied taxis at a defined area. By scientific analysis of taxi GPS data precision and quality, 16,255 valid taxis in register list were filtered, and two coefficients were introduced to correct the taxi monitoring model. Based on the location reports of valid taxis, the number of unoccupied taxi which was able to dispatch to meet passengers’ demands can be predicted. Take the terminal 3 of Beijing Capital International Airport as a case study, the field investigation results show that the precision of model reached 87.25%. It provides reliable systematic support and alert for a low taxi number when there comes up large taxi travel demand during the peak period or under severe weathers.
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