DIKW-based vehicle path planning method

Abstract

The invention provides a vehicle path planning method based on DIKW, and the method specifically comprises the steps: obtaining the typed resources of a driver, and constructing a driver DIKW model according to the typed resources; performing path planning according to the starting point and the ending point to obtain a plurality of initial paths; obtaining initial path road information, and constructing an initial path DIKW model; the initial path DIKW model screens the initial paths according to the intention of the driver DIKW model to obtain the optimal path, and the planned initial paths are screened according to the intention of the driver during path planning by collecting the typed resources of the driver and extracting the intention contained in the typed resources, so that the optimal path is obtained. The obtained optimal path can meet the requirements of the driver, and compared with traditional path planning which only considers the number of traffic lights, the congestion degree, the mileage and other factors, the method is more humanized, and can meet the multi-level driving requirements of the driver.

Description

technical field [0001] The invention relates to the technical field of path planning, in particular to a DIKW-based vehicle path planning method. Background technique [0002] With the continuous improvement of people's living standards, most families will buy cars as a means of short-distance transportation. During the driving process, the driver needs to plan his driving path. The existing vehicle path planning technology basically collects road vehicles Information such as speed, number of vehicles, pedestrian information, and traffic lights are used to plan routes. However, these information are objective information, and route planning does not take into account the factors and intentions of the driver itself. For example, when the driver is a novice, It is hoped that there will be fewer vehicles or pedestrians on the driving route, or the driver’s own physical condition, and the number of turns on the driving route will be less. These subjective factors will not be con...

AI Technical Summary

Problems solved by technology

[0002] With the continuous improvement of people's living standards, most families will buy cars as a means of short-distance transportation. During the driving process, the driver needs to plan his driving path. The existing vehicle path planning technology basically collects road vehicles Information such as speed, number of vehicles, pedestrian information, and traffic lights are used to plan the route. However, these information are some objective information. The route planning does not take into account the factors and intentions of the driver itself. For example, when the driver is a novice, It is hoped that there will be fewer vehicles or pedestrians on the driving route, or the driver’s own physical condition, and the number of turns on the driving route will be less. These subjective factors will not be considered by the existing path planning technology, resulting in the final planned route. Meet the driver's own needs

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