Unmanned carrying vehicle scheduling method and scheduling system and storage medium

Abstract

The embodiment of the invention discloses an unmanned carrying vehicle scheduling method, a scheduling system and a storage medium. At least a first scheduling waiting area and a second scheduling waiting area are arranged on a transportation route between a departure place and a destination. The method comprises the steps: acquiring a departure request message sent by a to-be-dispatched carryingvehicle reaching a first dispatching waiting area and / or a second dispatching waiting area, wherein the departure request message carries carrying vehicle identification information, current carryingstate information and position information; obtaining a driving state message sent by each carrying vehicle on the transportation route, wherein the driving state message carries the carrying vehicleidentification information, the current carrying state information, the operation state information and the position information; according to the departure request message and the driving state message, determining a matched driving path track and sending a scheduling instruction to the corresponding to-be-scheduled carrying vehicle; or determining an unmatched driving path track and sending a scheduling waiting instruction to the corresponding to-be-scheduled carrying vehicle.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to a dispatching method, dispatching system and storage medium of an unmanned carrier vehicle. Background technique [0002] With the rapid development of artificial intelligence, automatic driving technology has continuously made breakthroughs, especially in application scenarios where traditional manual operations are highly dangerous. For example, the road conditions in the mining area are complex, the working environment is poor, and the risk is high. The traditional manual operation method has brought many disadvantages such as management difficulties, high operating costs, and frequent safety accidents. Therefore, the application of automatic transportation in the mining area Driving skills are in urgent need. [0003] A related art discloses a control system for an unmanned transport fleet, including a main control room, a leading vehicle and a following vehicle. The main co...

AI Technical Summary

Problems solved by technology

For example, the road conditions in the mining area are complex, the working environment is poor, and the risk is high. The traditional manual operation method has brought many disadvantages such as management difficulties, high operating costs, and frequent safety accidents. Therefore, the application of automatic transportation in the mining area Urgent demand for driving skills

[0003] A related art discloses a control system for an unmanned transport fleet, including a main control room, a leading vehicle and a following vehicle. The main control room is used for real-time communication with the leading vehicle and following vehicles. memory module and drive along the path; however, this control strategy determines that multiple vehicles will be loaded or unloaded in a centralized manner, which is not efficient, and when multiple vehicles work in a centralized manner on the transportation line, the trajectory of each vehicle may be affected by other vehicles. Intervention and real-time modification is required. For example, when the loading area is busy, the vehicles behind need to stop and wait. When the communication quality is affected by the environment of the mining area, collision accidents are likely to occur

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