Toll station vehicle emission prediction method based on vehicle specific power and model tree regression

Abstract

The invention discloses a toll station vehicle emission prediction method based on vehicle specific power and model tree regression. The method comprises the steps of basic data acquisition, basic data preprocessing, data modeling and application analysis. The basic data acquisition comprises acquisition of volume concentration, vehicle speed, acceleration and vehicle self-weight data of various gases in vehicle exhaust gas; wherein the basic data preprocessing comprises the steps of converting the mass emission rate of various pollution gases, calculating the specific power of the vehicle, and carrying out time synchronization on the mass emission rate and the specific power of the vehicle by using an interpolation method; wherein the data modeling is toll station vehicle emission model construction based on vehicle specific power and model tree regression on the processed data; the method is based on a model tree and a vehicle specific power (VSP) regression model, and can accuratelypredict the emission of gasoline vehicles and diesel vehicles at a toll station.

Description

technical field [0001] The invention relates to traffic energy saving and emission reduction technology, in particular to a method for predicting vehicle emission at toll stations based on vehicle specific power and model tree regression. Background technique [0002] In recent years, climate change and air quality issues have become a worldwide problem. Among them, traffic, especially the exhaust emissions from intercity traffic, is one of the important sources of air pollution. Exhaust gases such as particles, carbon monoxide, carbon dioxide, hydrocarbons, and nitrogen oxides emitted by vehicles during transportation will cause great harm to air quality and human health. Expressway toll stations are high-occurrence areas of intercity traffic congestion. The main reason is that the traffic capacity of the road section at the toll station is not only restricted by the inherent traffic capacity of the road itself, but also more easily restricted by the service capacity of th...

AI Technical Summary

Problems solved by technology

Expressway toll stations are areas with a high incidence of intercity traffic congestion. The main reason is that the traffic capacity of the road section at the toll station is not only restricted by the inherent traffic capacity of the road itself, but also more likely to be restricted by the service capacity of the toll station.

Vehicles must slow down and enter the station to stop and wait for the toll payment, and then accelerate to leave the toll station, which often leads to continuous queuing of subsequent vehicles

More notably, the generation of such congested road conditions makes vehicles start and stop, and fuel combustion is insufficient, resulting in a sharp increase in the emission of hydrocarbons, carbon monoxide and nitrogen oxides

Due to the special dynamic characteristics of vehicles passing through toll stations, ordinary emission prediction models may be less applicable, and relevant research is urgently needed to fill this part of the gap

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