Road network fine particulate matter research method based on traffic operation state

A technology of traffic operation status and fine particulate matter, applied in the field of urban environment research

Active Publication Date: 2021-11-12
BEIHANG UNIV
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Problems solved by technology

Detector data includes pollutant concentration data at different times

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  • Road network fine particulate matter research method based on traffic operation state
  • Road network fine particulate matter research method based on traffic operation state
  • Road network fine particulate matter research method based on traffic operation state

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Embodiment 1

[0026] Such as figure 1 As shown, a road network fine particulate matter research method based on traffic operation status includes the following steps:

[0027] (1) Based on a fine particulate matter regional transmission identification algorithm, an urban fine particulate matter transmission identification model is established, and the fine particulate matter regional transmission is identified from two dimensions of time and space;

[0028] By establishing a monitoring zone threshold matrix to identify the input monitoring points of regional input fine particles and the subsequent propagation direction and other information. Combining historical data to build a fine particulate matter regional transmission database, through historical data mining and real-time data input, the model can achieve early detection and real-time monitoring of fine particulate matter regional transmission. Model framework such as figure 2 shown. Through the fine particle concentration identifi...

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Abstract

The invention discloses a road network fine particulate matter research method based on a traffic operation state. The method comprises the steps: establishing an urban fine particulate matter transmission recognition model based on a fine particulate matter area transmission recognition algorithm, and obtaining information such as area fine particulate matter transmission time, concentration and direction; eliminating the monitoring interference of fine particulate matter area transmission on local traffic fine particulate matter emission; through urban road classification and road network traffic operation actual data, extracting the road network traffic operation spatial-temporal characteristics, and establishing a road network fine particulate matter spatial-temporal emission model considering the traffic operation state; wherein the road network fine particulate matter space-time emission model reflects the road network fine particulate matter space-time emission characteristics generated by road network traffic operation from the road network actual traffic operation state. According to the invention, the change condition of urban fine particulate matters can be researched, a new perspective is provided for targeted implementation of urban traffic guidance and planning of an urban traffic network, and high-efficiency traffic control from the perspective of urban traffic emission becomes possible.

Description

Technical field: [0001] The invention relates to the field of urban environment research, in particular to a research method for road network fine particles based on traffic operation status. Background technique: [0002] Since 2013, air pollution such as smog has suddenly entered people's field of vision, and it has sounded the alarm for urban air pollution, which has aroused people's attention to air pollution. Among all air pollutants, PM2.5 has become an important factor affecting many diseases, especially in respiratory-related diseases, which has been proved by many epidemiological studies in the past decade. In 2012, the World Health Organization estimated that pollution in the urban environment caused about 3.7 million premature deaths. Motor vehicles in the city produce a large amount of exhaust emissions, which increases the pollution of inhalable fine particles in the urban air, which has aroused widespread concern. According to the results released by the Beij...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G08G1/01G06F119/02
CPCG06F30/27G08G1/0125G08G1/0137G06F2119/02G06F18/23
Inventor 于滨刘忠山张力崔少华薛勇杰
Owner BEIHANG UNIV
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