Cloud multi-road-point matching designated driving method, cloud multi-road-point matching designated driving system, cloud server and client

Abstract

The invention discloses a cloud multi-road-point matching designated driving method, a cloud multi-road-point matching designated driving system, a cloud server and a client. The method comprises the steps of transmitting corresponding user information to the cloud server and storing into a user information table by a driver end and a passenger end; transmitting order information to the cloud server and storing the order information into an order pool by the passenger end; sequencing the order information in the order pool by the cloud server according to time priority and storing the order information into a schedule task table; transmitting an order receiving request by the driver end to the cloud server, receiving the schedule task table and randomly selecting one schedule task; moving the schedule task selected by the driver end to a historical schedule task table for storing and updating the schedule task table by the cloud server; transmitting geographical position information to the cloud server by the driver end, correlating the received geographical position information with the current schedule task of the corresponding driver end by the cloud server, updating the current schedule task state in real time and transmitting the current schedule task state to the passenger end until the schedule task is finished.

Description

technical field [0001] The invention belongs to the field of signal processing, and in particular relates to a cloud multi-way point matching substitute driving method, system, cloud server and client. Background technique [0002] With the severe punishment of drunk driving by the Ministry of Communications, the surrogate driving industry is developing rapidly, and mobile surrogate driving software is gradually gaining popularity. Compared with the traditional price method, the mobile phone driving software is more time-saving and labor-saving. With the driver-on-demand software, passengers can know the driver's information in advance, and the ride process is safer. Since the software of my country's agent driving industry has just started, the market demand is relatively large. Therefore, mobile phone driving software shows a rapid development trend. Although the driving agent software has the above advantages, the current mobile driving agent software also has the foll...

AI Technical Summary

Problems solved by technology

Although the driving agent software has the above advantages, the current mobile driving agent software also has the following disadvantages: (1) it does not provide more itinerary task information except the starting point and end point of the itinerary; route; (3) The time for users to wait for orders is relatively slow

Images