Path planning method based on carbon emission measurement scale

Abstract

The invention discloses a path planning method based on a carbon emission measurement scale, and belongs to the technical field of road traffic path planning. According to the method, firstly, multi-dimensional information such as roads, vehicles, energy consumption, environments and loads is collected to construct a data set; according to the IPCC standard, the carbon dioxide emission amount is calculated in combination with the energy consumption information; secondly, calculating the contribution rate of each feature by using a principal component analysis method, and further screening out main features; according to different numbers of the main features, performing multi-model training on the main features by using linear regression, and performing bagging ensemble learning method fusion on a plurality of models; and finally, generating a plurality of driving paths in combination with a map open API, respectively calculating carbon dioxide emissions of different driving paths, and selecting the driving path with the minimum carbon emission to be recommended to the user. The method focuses on realizing the minimization of the carbon emission of the vehicle in the path planning, and finally assists in promoting China to realize the goals of carbon peak reaching and carbon neutralization.

Description

technical field [0001] The invention belongs to the technical field of road traffic path planning, and in particular relates to a path planning method based on a carbon emission measurement scale. Background technique [0002] In order to reduce the impact of the ecological environment system on climate change, the world is striving to achieve "carbon peak" and "carbon neutrality", and the national carbon emission trading market is the core of achieving the "carbon peak" and "carbon neutral" goals one of the policy tools. Facing the general trend of a unified national carbon market, industries with relatively concentrated energy consumption and emissions, such as power generation, steel, petrochemicals, chemicals, building materials, non-ferrous metals, papermaking, and civil aviation, will face new challenges brought about by "carbon constraints" in the future. [0003] As the transportation industry is an important carbon emission field, how to effectively control the car...

AI Technical Summary

Problems solved by technology

The existing patents are not comprehensive enough to enumerate the factors that affect traffic emissions, and they are mainly the carbon emission detection methods of automobiles, without considering other energy vehicles. Purely from the perspective of technical solutions, we should focus on Through the path planning method based on the carbon emission scale, the carbon emission of automobiles is minimized, and finally assists in promoting my country to achieve the goal of "carbon peak" and "carbon neutrality"

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