Matching system for ride-share vehicle booking and matching method and device thereof

Abstract

The invention provides a matching system for ride-share vehicle booking and a matching method thereof. Start point and end point information of each ride-share request is analyzed, whether each obtained ride-share request meets the requirement of ride share is judged according to shortest running time required for passing by all start points/end points, and if the requirement is met, the ride-share requests are matched. In the matching mode, a specific ride route of a passenger is not necessary as a basis, and in a region with an unreasonable road layout and a complex road condition, matching of the ride-share requests in a broader range can be achieved. The matching method for ride-share vehicle booking can be implemented by a computer program stored in a computer readable storage medium, and via buildup of function modules and forming a function module framework by combination. A matching system for ride-share vehicle booking is also provided, and the matching system comprises a client, a vehicle mobile terminal, and a server. The server is provided with a function module framework, and a computer program for inputting and implementing the function module framework, and therefore, the matching method for ride-share vehicle booking is achieved.

Description

technical field [0001] The present invention relates to the technical field of electronic communication, in particular to a matching system and a matching method for a ride-hailing car. For the matching method of a car-sharing car, it can be combined into a functional module framework by establishing functional modules, and stored in a computer-readable memory. computer program on a medium. Background technique [0002] With the development of the economy and the improvement of living standards, people have more requirements for the transportation mode of travel, and the diversification of transportation modes also makes the urban traffic situation an important factor affecting the daily operation of the city. In recent years, the ownership of private cars has shown explosive growth, and the number of vehicles running on urban roads has increased rapidly. The sharp increase in traffic demand has brought about problems such as urban traffic congestion, waste of resources, an...

AI Technical Summary

Problems solved by technology

This matching method can quickly complete the matching of passengers, but because it mainly compares the coincidence degree of each passenger's optimal travel route, the requirements for passenger routes are relatively high

Especially in some areas where the road layout is unreasonable and the road conditions are complex, this matching method is likely to cause omissions, which affects the matching success rate of car sharing.

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