Intelligent prediction method and system for road traffic pollution source

A technology for intelligent forecasting and road traffic, applied in the field of traffic pollution and environmental monitoring, to achieve the effect of improving urban air quality

Active Publication Date: 2015-12-30
ZHUHAI GAOLING INFORMATION TECH COLTD
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the object of the present invention is to provide a method and system for intelligent prediction of road traffic pollution sources, so as to improve the problem in the prior art that only macroscopically calculates the total amount of motor vehicle exhaust emissions in units of years

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent prediction method and system for road traffic pollution source
  • Intelligent prediction method and system for road traffic pollution source
  • Intelligent prediction method and system for road traffic pollution source

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0015] figure 1 A flow chart of the method for intelligent prediction of road traffic pollution sources provided by the first embodiment of the present invention is shown in . see figure 1 The intelligent prediction method for road traffic pollution sources provided in the first embodiment may include steps S11 to S16.

[0016] In step S11, first traffic flow information and vehicle identification information collected by a first detector within a first time period are acquired, and the first detector is fixedly installed on multiple first-type roads in the city.

[0017] Specifically, the first type of road may include expressways, trunk roads, secondary trunk roads and branch roads of the city. The expressway is completely used for traffic function services, and it is the main road to solve the large-capacity, long-distance, and fast traffic in the city. Trunk roads are arterial roads connecting the main districts of the city, which are the main skeleton of the urban road...

no. 2 example

[0048] image 3 A schematic structural diagram of an intelligent prediction system for road traffic pollution sources provided by the second embodiment of the present invention is shown. see image 3 The road traffic pollution source intelligent prediction system 200 provided in the second embodiment of the present invention may include a first acquisition unit 210 , a second acquisition unit 220 , a statistical unit 230 , a processing unit 240 , a traffic flow prediction unit 250 and an emission calculation unit 260 .

[0049] The first acquiring unit 210 is configured to acquire first traffic flow information and vehicle identification information collected by a first detector within a first time period, and the first detector is fixedly installed on multiple first-type roads in a city.

[0050] The second acquiring unit 220 is used to acquire the second traffic flow information collected by the second detector within the first time period, and the second detector is movabl...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an intelligent prediction method and system for a road traffic pollution source, and belongs to the field of traffic pollution and environment monitoring. The method comprises the steps of obtaining first traffic flow information and vehicle identification information collected by a first detector within a first period of time; obtaining second traffic flow information collected by a second detector within a second period of time; conducting statistics on the occupation rate of vehicle types of vehicles driven in a first road within the first period of time and the occupation rate of emission standards of the vehicle types according to the vehicle identification information and urban in-use vehicle information base; obtaining urban road network traffic flow dynamic information within the first period of time according to the first and second traffic flow information and an urban road network structure chart, and predicting the urban traffic flow information within the second period of time; calculating the urban emission load within the second period of time by means of the occupation rate of the vehicle types, the occupation rate of the emission standards of the vehicle types, vehicle emission coefficients and the urban traffic flow information within the second period of time.

Description

technical field [0001] The invention relates to the fields of traffic pollution and environmental monitoring, in particular to an intelligent prediction method and system for road traffic pollution sources. Background technique [0002] In recent years, the number of motor vehicles has increased sharply, urban traffic congestion and motor vehicle exhaust pollution are very serious, and the air quality in large and medium-sized cities has deteriorated, which has endangered people's physical and mental health and daily life. Motor vehicle exhaust pollution sources have become the primary pollutant for the deterioration of urban air quality. In the prior art, the total amount of exhaust emissions from motor vehicles is mainly measured macroscopically—in terms of space, the city is used as the unit, and in time, the year is the unit. Statically estimating the total amount of motor vehicle exhaust emissions does not have the function of forecasting. Contents of the invention ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/017
Inventor 张矿
Owner ZHUHAI GAOLING INFORMATION TECH COLTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products