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Road network carbon emission estimation method serving for low-carbon road traffic planning

A technology of road traffic and road network, which is applied in the field of carbon emission estimation of light-duty vehicles in road network peak hours, and can solve the problem of dynamic traffic activity data estimation or prediction without any attention

Pending Publication Date: 2021-04-06
SOUTHEAST UNIV
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Problems solved by technology

However, traditional road traffic estimation methods do not pay any attention to the estimation or prediction of dynamic traffic activity data under future traffic planning schemes, which has become an urgent problem to be solved

Method used

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  • Road network carbon emission estimation method serving for low-carbon road traffic planning
  • Road network carbon emission estimation method serving for low-carbon road traffic planning
  • Road network carbon emission estimation method serving for low-carbon road traffic planning

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Embodiment Construction

[0050] The technical solutions and beneficial effects of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0051] Taking a certain urban road traffic planning scheme as an example, such as figure 1 and figure 2 As shown, the method for estimating carbon emissions of light-duty vehicles in peak hours of the road network serving urban low-carbon road traffic planning according to the present invention comprises the following steps:

[0052] (1) Establish a light vehicle localized carbon dioxide emission factor database based on MOVES emission factors, including the following steps:

[0053] Step 1. Select the Emission Rates mode of MOVES, and use MySQL to export the planned carbon dioxide emission factor database for young passenger cars, light trucks, and motorcycles in the RatePerDistance table.

[0054] Step 2, average the emission factors of different time periods and different months under the same average speed bin ...

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Abstract

The invention discloses a road network carbon emission estimation method serving for low-carbon road traffic planning, and the method comprises the steps: building a fitting function of an emission factor and a speed through an MOVES model carbon dioxide emission factor rule, and building a localized carbon dioxide emission factor database through motor vehicle fuel consumption data; establishing a road network peak hour road traffic volume estimation method based on the road traffic planning parameters; through local road traffic investigation, selecting videos of several important road sections to shoot road traffic conditions, obtaining basic parameters input into VISSIM simulation software, and obtaining average speed distribution of motor vehicles based on VISSIM simulation in various traffic scenes; and finally, establishing a road network carbon emission estimation method to effectively estimate urban road traffic carbon emission. The method can provide a carbon emission data basis for urban low-carbon road traffic planning, is of great significance to optimization of a low-carbon planning scheme and reduction of road network carbon emission, and is beneficial to improvement of an urban sustainable traffic system.

Description

technical field [0001] The invention belongs to the field of low-carbon road traffic planning, and more specifically relates to a method for estimating the carbon emission of light-duty vehicles in road network peak hours for urban low-carbon road traffic planning. Background technique [0002] As an important part of urban traffic, road traffic undertakes a large number of traffic travel tasks. It plays an important role in relieving urban traffic pressure and improving the travel environment of citizens. The increase in vehicle usage has led to a sharp increase in vehicle greenhouse gas emissions, which poses a severe challenge to the sustainable development of China's transportation. Road transportation has become a key area for energy conservation and emission reduction. The carbon emission of road traffic has seriously exceeded the self-purification capacity of the natural environment. As a place where residents' life and production are highly concentrated, the destruc...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/30G06F30/20
CPCG06Q10/047G06Q10/06393G06F30/20G06Q50/40
Inventor 甘婧项乔君李林恒胡敏琦
Owner SOUTHEAST UNIV
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