Automatic driving vehicle scheduling method

Abstract

The invention discloses an automatic driving vehicle scheduling method. The method comprises the following steps: 1) receiving a ride request message, wherein the ride request message comprises departure place information, destination information, riding time, carpooling intend information and emergency contact number; 2) obtaining location information, free time information and carpooling passenger status information of each operating vehicle, and determining vehicle information of at least three candidate vehicles; 3) obtaining current traffic information and route planning information fromthe candidate vehicles to the departure place of a passenger, calculating time information for final arrival at the departure place of the passenger and selecting an optimum vehicle; and 4) sending the ride request message to the optimum vehicle, controlling the optimum vehicle to drive to the departure place of the passenger, and sending the vehicle information of the optimum vehicle to a mobileterminal of the passenger. The automatic driving vehicle scheduling method overcomes the problems that since existing vehicle scheduling methods are unreasonable, vehicles cannot be scheduled with maximum efficiency, and work efficiency is low in the prior art.

Description

technical field [0001] The present invention relates to the field of vehicle scheduling methods, in particular, to a method for scheduling automatic driving vehicles. Background technique [0002] Self-piloting automobile (Autonomous vehicles; Self-piloting automobile), also known as driverless car, computer-driven car, or wheeled mobile robot, is a kind of intelligent car that realizes unmanned driving through a computer system. In the 20th century, it has a history of several decades, and the beginning of the 21st century shows a trend of close to practical use. Google's self-driving car received the first U.S. self-driving vehicle license in May 2012 and is expected to hit the market between 2015 and 2017. Self-driving cars rely on artificial intelligence, visual computing, radar, surveillance devices, and global positioning systems to work together to allow computers to operate motor vehicles autonomously and safely without any human intervention. [0003] With the pop...

AI Technical Summary

Problems solved by technology

[0005] In view of the above technical problems, the purpose of the present invention is to overcome the unreasonable vehicle scheduling method in the prior art, which cannot dispatch vehicles with maximum efficiency, resulting in low work efficiency and low accuracy, so as to provide a vehicle that can be integrated during use. A self-driving vehicle scheduling method that improves work efficiency by accurately and effectively dispatching self-driving vehicles due to various factors

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