MEC-based motorcade auxiliary driving method and device and storage medium

Abstract

The invention discloses an MEC-based motorcade auxiliary driving method and device, and a storage medium, so as to solve the problem of inconsistent vehicle driving actions in a motorcade, enhance the communication and driving safety and reliability in the motorcade driving, enhance the ability of keeping the motorcade shape, and adapt to various roads and the like. The method includes the steps of generating a driving path according to path planning request information sent by a head vehicle in a vehicle team and road conditions of related road sections, wherein the motorcade comprises an automatic driving head vehicle and a plurality of following vehicles which follow the head vehicle to execute driving actions to realize acceleration, lane changing and braking, and the motorcade keeps a reasonable vehicle distance in the whole course; sending a driving patht to the head vehicle, so that the head vehicle periodically sends a driving attribute message of a first driving action executed by the vehicle to the MEC and the following vehicle; and receiving a feedback result of executing the first driving action by each following vehicle, and generating and sending corresponding action adjustment information when determining that the driving actions of the following vehicles and the driving actions of the head vehicle are inconsistent, so that the motorcade safely passes through road sections such as intersections, ramps and curves.

Description

technical field [0001] The present invention relates to the field of wireless communication, in particular to a method, device and storage medium for assisted driving of a fleet based on MEC. Background technique [0002] In the freight and logistics industry, vehicles are usually driven in formation. [0003] The traditional vehicle formation consists of multiple vehicles forming a fleet, each vehicle is driven by a professional driver, and a reasonable distance is maintained between vehicles. [0004] See figure 1 , is the flow chart of artificial formation transportation. To complete the traditional vehicle formation logistics transportation, the following steps need to be performed. Step 101: Manually form a formation, that is, manually form multiple vehicles into a fleet; Step 102: Unify the driving route and driving plan, according to the current location and purpose of the fleet Formulate a unified driving route and driving plan; Step 103: Synchronous departure, th...

AI Technical Summary

Problems solved by technology

[0006] This has resulted in: the traditional artificial fleet needs to rely on human vision and experience to drive, has limited vision, and it is difficult to fully grasp the surrounding traffic situation, and even cannot travel in bad weather

At the same time, the speed and distance of the formation need to be grasped by the driver's experience, which makes the distance between the fleet relatively large; when encountering traffic conditions, the judgment standards of each driver are not uniform, so the probability of disorganization and formation of the fleet is relatively high, and the long-term There are still problems in the long-distance transportation, such as driver fatigue driving and easy accidents. A single vehicle needs to be equipped with more than two full-time drivers, resulting in high costs, and problems such as high fuel consumption due to irregular driving habits of drivers.

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