Cross-region user travel problem solving system based on big data
A big data, cross-regional technology, applied in the field of big data, can solve the problems of reducing user travel costs, public transportation and online car-hailing cannot achieve refined services, etc., to improve traffic efficiency, reduce customer waiting time, and reduce transportation costs. cost effect
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[0024] In order to make the purpose of the present invention, the technical scheme is clearer, further explanation below:
[0025] 1. Application scenario description: This system includes server, positioning service system, communication service system, APP ("driver terminal" and "user terminal"), big data analysis platform, and after-vehicle service system;
[0026] 2. For user groups: This part of users includes several types of user groups as follows:
[0027] (1) Users who travel between towns and towns within the city, or between towns and urban areas;
[0028] (2) Users traveling between counties and cities (such as between counties and cities within the jurisdiction of prefecture-level cities);
[0029] (3) All users who commute from the provincial capital to any provincial jurisdiction;
[0030] (4) Users with cars who choose not to travel by car due to consideration of travel costs;
[0031] (5) Users who travel for business (with clear starting point, time and de...
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