Typical driving condition construction method, related device and computer storage medium

Abstract

The invention provides a typical driving condition construction method, a related device and a computer storage medium, and the typical driving condition construction method comprises the steps: firstly, obtaining a target market data set; then, preprocessing data in the target market data set to obtain at least one target data set; and finally, for each target data set, inputting the target data set into a typical driving condition construction model to obtain a typical driving condition corresponding to the target data set, wherein the typical driving condition construction model is obtained by training a Markov-Monte Carlo model based on a non-uniform grid through a combination of at least one model and a training sample subdivision market and original working conditions corresponding to various types of indexes of the training sample subdivision market. Therefore, the purpose of accurately constructing typical driving conditions is achieved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method for constructing typical driving conditions, related devices and computer storage media. Background technique [0002] In the existing technology, the Markov-Monte Carlo simulation method is usually used, based on a large amount of data of commercial vehicles on the market, to extract and construct a typical driving condition with the smallest granularity such as the purpose of a certain model, and to provide a basis for the subsequent test vehicle exhaust Pollutant emissions, fuel consumption, evaluation of new vehicle development technologies, etc. provide input. [0003] However, in the process of constructing typical driving conditions using the Markov-Monte Carlo simulation method in the prior art, the method of dividing the grid is uniform division, and in the actual application process, the uniform grid The information in the same state will be encode...

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Problems solved by technology

[0003] However, in the process of constructing typical driving conditions using the Markov-Monte Carlo simulation method in the prior art, the method of dividing the grid is uniform division, and in the actual application process, the uniform grid In the same state, the information in the same state will be encoded into the same state, thus introducing a large error, which will affect the accuracy of the subsequent model

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