Carpooling method

Abstract

The invention relates to the technical field of mobile communication and Internet and in particular to a carpooling method which comprises: establishing a coordinate system by using a human traffic hotspot as an origin of coordinates, the origin of coordinates having a first longitude and a first latitude; acquiring the longitude and latitude of the starting point of a user, and enabling the user to set a destination and departure time; marking the longitude of the starting point as a second longitude, the latitude of the starting point as a second latitude, the longitude of the destination as a third longitude, and the latitude of the destination as a third latitude; calculating the direction angle of a spatial vector between the starting point and the destination; and generating an order from the direction angle, the latitude and longitude of the starting point, the latitude and longitude of the destination and the departure time in a matching space. The method can complete line matching and order generation of the users without a need to calculate a specific map line, has a high calculation efficiency, improves carpooling efficiency, improves the grouping efficiency of carpooling software and Internet car dispatching systems, really accomplishes roadside carpooling, and improves traffic utilization and travel efficiency.

Description

technical field [0001] The invention relates to the technical fields of mobile communication and the Internet, in particular to a method for carpooling bills. Background technique [0002] With the development of the city, the population has increased rapidly, and the problems of traffic congestion and environmental pollution have become prominent. How to better meet the travel needs of the growing population, while improving the utilization of travel tools and reducing the pollution caused by vehicles to the urban ecological environment, is a difficult problem that needs to be solved in the current urban transportation development. Efficient carpooling will alleviate this problem, and airports and stations are the most densely populated areas in the city, and the demand for travel is more urgent. [0003] The traditional carpooling mode includes: matching according to the lines between users, but this method is not flexible in practical applications, and the matching effic...

AI Technical Summary

Problems solved by technology

[0003] The traditional carpooling mode includes: matching according to the lines between users, but this method is not flexible in practical applications, and the matching efficiency is relatively low; matching according to the destinations between users, this method is limited in practical applications Based on the distance between destinations, it ignores whether the directions between users are consistent, which reduces the utilization rate of empty seats; based on the comprehensive factors such as the departure time, distance and fare of users, it is calculated according to the standard normal distribution, and then the distance between users This comprehensive matching method often has the above-mentioned problems such as low matching efficiency and inflexible routes.

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