A dynamic carpooling scheduling method based on taxi-hailing hotspots
A scheduling method and hotspot technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as unfavorable real-time application scenarios, high time complexity, and complex methods.
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[0088] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.
[0089] figure 1 It is a system architecture diagram, and the input of the system is taxi request data (including taxi time, start point, end point, boarding time window size, detour time window size, allowable detour distance, proportion of time limit in passenger satisfaction and number of passengers) , the map data used in the scheduling process is provided by OpenStreetMap and stored in the MongoDB database in the form of dots and lines. The route calculation and driving time calculation can be calculated online in real time or offline, depending on the specific situation. After receiving a taxi request, the system first enters the search phase, using a time-based binary search algorithm to search for taxi candidate sets. Secondly, enter the taxi scheduling stage, check all the constraints in the select...
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