Method and system for accounting urban road traffic day-by-day carbon dioxide emission

Abstract

The invention belongs to the technical field of carbon dioxide emission accounting of traffic and transportation departments, and particularly relates to a method for accounting urban road traffic day-by-day carbon dioxide emission. The method comprises the following steps: calculating reference year road traffic carbon dioxide emission of a region where a target city is located; calculating the annual road traffic carbon dioxide discharge amount of the target city all the year round in the reference year and the average daily road traffic carbon dioxide discharge amount of the target city; based on the target city road network hourly road network interval average speed and the traffic jam index, establishing a dynamically changing road network information database; establishing a road speed-traffic jam index-traffic flow prediction model and a road speed-traffic jam index-carbon emission accounting model, and accounting the carbon dioxide emission of the target road within a specified time range; calculating the day-by-day road traffic carbon dioxide emission of the target city road network; and accumulating the day-by-day road traffic carbon dioxide emissions of the target city road network to obtain the annual road traffic carbon dioxide emissions of the target city road network.

Description

technical field [0001] The invention belongs to the technical field of accounting for carbon dioxide emissions in transportation departments, and in particular relates to a method and system for calculating daily carbon dioxide emissions in urban road traffic. Background technique [0002] The transportation sector is an important part of fossil fuel consumption and carbon dioxide emissions, accounting for about a quarter of the world's total carbon dioxide emissions, and some developed countries' transportation emissions account for more than 30%. Transportation has gradually become the second largest area of ​​carbon dioxide emissions after power production and heat supply, and it is also the area with the fastest growth rate of carbon emissions. Among them, the carbon emissions of the road transport sector account for about three-quarters of the total transport emissions, and the contribution rate far exceeds the emissions of other modes of transportation such as ships, a...

AI Technical Summary

Problems solved by technology

[0008] First, most cities and small-scale areas below cities lack public energy statistics or turnover data, and it is difficult to use official road traffic energy consumption and road traffic turnover data to calculate road traffic carbon emissions based on the fuel method or turnover method , most cities lack basic data and basic understanding of road traffic carbon emissions;

[0009] Second, the timeliness of accounting for urban road traffic carbon dioxide emissions is low, and the calculation results of emissions have a significant lag; The fuel oil method is based on the existing official energy statistics, and the calculation results of the carbon emissions of urban road network vehicles are correspondingly lagging behind by one to two years, so it is impossible to grasp the dynamic change trend of emissions in a timely and effective manner

In the face of sudden and extreme events (such as a large-scale reduction in road network traffic flow, heavy rain and floods that make roads impossible to pass normally, etc.), it is impossible to grasp first-hand emission change data;

[0010] Third, there is a lack of high-time-resolution and scientific indicators to reflect changes in activity data such as vehicle driving status and road network operating conditions in the urban road network, so as to predict the law of traffic flow changes in the road network

Affected by various complex factors such as road traffic conditions, weather conditions, and traffic restriction policies, the operating status of urban road network vehicles has strong variability and uncertainty, and there is still a lack of indicators and methods for evaluating the law of traffic flow changes with high time resolution. method

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