A cross-regional user travel problem solving system based on big data
A big data, cross-regional technology, applied in the field of big data, can solve problems such as 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. cost effect
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[0024] In order to make the object of the present invention, the technical solution is more clear, further explanation below:
[0025] 1. Application Scenario Description: This system contains servers, positioning service systems, communication service systems, APPs ("drivers" and "client"), big data analysis platform, and post-car service system;
[0026] 2. For the user group: This part of the user contains several types of user groups as described below:
[0027] (1) Users who travel to trip between urban towns and towns;
[0028] (2) Users in round-trips (such as counties and cities in the area) between urban cities;
[0029] (3) All concentrated users to and from the provincial capital to users between arbitrary provincial jurisdictions;
[0030] (4) If you consider the cost of travel, you choose to have a car that does not drive.
[0031] (5) Users who have traveled (starting point, time, destination);
[0032] 3, travel expenses, refer to the local public transport travel f...
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