CN108492553A - A kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation - Google Patents
A kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation Download PDFInfo
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Abstract
A kind of movable vehicle horizontal analysis method towards Dynamic Emission assessment, this method is for the purpose of realizing the assessment of the Dynamic Emission under road traffic actual motion condition, movable vehicle horizontal analysis method is established according to disclosed real-time traffic information, to support the real-time traffic Contamination Assessment of road network level, detailed process to be：Based on real-time dynamic information, structure is obtained the data acquisition and procession method for the operating parameter assessed towards Dynamic Emission by real-time traffic information, again based on real-time traffic and road average-speed, road average-speed relational model corresponding with the correlativity of section real-time traffic structure, the movable vehicle horizontal analysis method for establishing " real-time road section speed segment flow " realizes the Dynamic Emission assessment under road traffic actual motion condition in conjunction with motor vehicle disposal of pollutants Calculating model.
Description
Technical field
It is specially a kind of towards real-time road network emission evaluation the present invention relates to environmental science and technical field of intelligent traffic
Movable vehicle horizontal analysis method.
Background technology
On the one hand the fast development of China's communications and transportation system forms increasingly ripe and abundant traffic information collection skill
Art system, for carrying out multi-angle perception and regulation and control to road traffic state, on the other hand, due to vehicle guaranteeding organic quantity and trip
Rate sustainable growth, the energy consumption and disposal of pollutants that traffic department generates also are continuously improved.According to State Ministry of Environmental Protection pair 9 in 2015
The source resolution working results of a prevention and control of air pollution key cities, automobile pollution have become Beijing, Hangzhou, Guangzhou, Shenzhen
Primary pollution source.Studies have shown that for pollutant NOX、VOCs、PM10And PM2.5, motor vehicle source emission contribution rate is respectively
12-36%, 37-43%, 10.7% and 16.8%.The new type compound atmosphere pollution that coal smoke type coexists with automobile pollution becomes
The characteristic feature of China's Regional Atmospheric Pollution.
Unlike industrial source, stationary combustion source, motor vehicle source has dynamic, and the air under different transportation conditions is dirty
There are larger differences for dye.It refines, the emission level data of the high-spatial and temporal resolution of real-time dynamic response are automobile pollution rows
Put the signature analysis of characteristic and the basis of law study, and support pollutant diffusion simulations, prediction of air quality early warning and big
The important foundation data of gas prevention and cure of pollution.In recent years, consider the automobile pollution discharge characteristics point of traffic flow dynamic operation characteristic
Analysis and law study are increasingly becoming the research hotspot of domestic and foreign scholars.Ma et al. uses road coil detection data, in conjunction with motor-driven
Vehicle disposal of pollutants Calculating model MOVES develops automobile pollution discharge distribution platform DRIVE.net based on web map.Beijing
With Shenzhen on the basis of the traffic exhausted gas pollution object to major metropolitan areas is discharged and calculated, successively tentatively establishes dynamic and calculate and open up
Show system.Hong Kong University develops the display systems of a pollutant and air quality, illustrates the pollution situation of Hongkong.
Hao Yanzhao etc. establishes Light-duty Vehicle exhaust emissions dynamic calculating model using road measured data, may be implemented to traffic in road network
The dynamic evaluation of tail gas pollution.It is calculated relative to macroscopic view discharge, at present to having certain skill in terms of the dynamic evaluation of traffic pollution
Art is broken through.
To sum up, China's automobile pollution research at this stage is gradually fine accurate, at present in the discharge of reflection behavioral characteristics
The acquisition of technology progress of study on assessing method direction, but realize that the transportation emission of road network level discharges the algorithm of calculating also not in real time
Maturation fails to realize that large-scale real-time online discharge calculates.At the same time, due to the fast development of China Transportation Industry,
Intelligent transportation system generate daily increased by GB ranks, the traffic big data characterized by the real-time isomery of magnanimity, it is real-time to obtain
Traffic dynamic information is provided convenience condition, these data how to be made full use of to carry out knowledge excavation and reconstruct, be all kinds of traffic
Information system services are the crucial problems of real-time road grid traffic acquisition of information and emission evaluation.
Invention content
The purpose of the present invention is overcoming the above-mentioned prior art, a kind of vehicle work assessed towards Dynamic Emission is provided
Dynamic horizontal analysis method, this method is for the purpose of realizing the assessment of the Dynamic Emission under road traffic actual motion condition, according to public affairs
The real-time traffic information opened establishes movable vehicle horizontal analysis method, is commented to support the real-time traffic of road network level to pollute
Estimate, detailed process is：Based on real-time dynamic information, structure is obtained by real-time traffic information and is arranged towards dynamic
The data acquisition and procession method of the operating parameter of assessment is put, then flat based on real-time traffic and road average-speed, section
Equal speed relational model corresponding with the correlativity of section real-time traffic structure, establishes " real-time road-section speed-section
The movable vehicle horizontal analysis method of flow " realizes road traffic actual motion item in conjunction with motor vehicle disposal of pollutants Calculating model
Dynamic Emission assessment under part.
The present invention is achieved through the following technical solutions：
A kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation, is as follows：
Step 1. with segment intercept method obtain in real time, be stored, processing, base to disclosed real-time traffic information
Road network is carried out in ArcGIS, condition discrimination is carried out based on segment color identification method, at the real-time traffic information
Reason is with time identifier, section mark, the operable data of status indicator.
Step 2. establishes " real-time road-section speed " relational model：According to identified real-time road grade, section road
Road type, reference standard《DBJ440100/T 164-2013, urban highway traffic postitallation evaluation index system》Regulation, with the vehicle
Average speed corresponding to road condition grade of the fast section intermediate value as the road type.
Step 3. establishes " section speed-link flow " relational model：By traffic flow theory, road section traffic volume flow, speed,
Existing relationship, is calculated between density.Road type is divided to build and select optimal " speed-stream according to history survey data
Amount " relational model, realizes the reckoning from real-time section average speed to real-time section flow.
Step 4. is based on the movable vehicle horizontal analysis method of above " real-time road-section speed-link flow ", in conjunction with
Applicable automobile pollution discharges Calculating model, dynamic road section traffic volume activity level data will obtain road as input in real time
Dynamic Emission under road traffic actual motion condition.
As the improvement of said program, the disclosed real-time traffic information described in step 1 is as unit of section
Real-time road grade, and temporal resolution is less than 1 hour.Road condition grade can should at least be divided into free flow, crowded stream, obstruction stream three
Kind grade, and can obviously be distinguished.
As the improvement of said program, disclosed real-time traffic information is handled described in step 1, specially
First, the side intercepted the information with segment with Fixed Time Interval towards disclosed real-time traffic information, exploitation algorithm
Formula obtain and store in real time.Secondly, to each single segment of acquisition, the color of contained pixel in the segment, shape are identified
Pixel number, pixel color value attribute list.Finally, it according to segment coordinate information, is based on the coordinate system in electronic map
ArcGIS carries out coordinate conversion and road network, and by pixel color recognition result in the segment to respective stretch in electronic map
Attribute be updated.
As the improvement of said program, " section speed-link flow " relational model described in step 3, specifically, handing over
In logical engineering science, there are following relationships between speed V, flow Q, density K, reflect some important features of traffic flow character
Variable：
(1) maximum discharge qm, it is exactly the peak value on q-u curves.
(2) critical speed Um, speed when flow reaches very big.
(3) optimum density Km, density when flow reaches very big.
(4) jamming density Kj, wagon flow is intensive when can not move (U=0) to vehicle density.
(5) speed that passes unimpeded Uf, vehicle density tends to 0, average speed when vehicle advances freely.
For the type of speed flowrate relational model, including linear model, quadratic polynomial model, cubic polynomial mould
Type, exponential model, the regression model based on logarithmic model, with Greenshields models, Grenberg models and Underwood
Empirical model based on model.By taking Greenshields models as an example, wherein, there are following between speed V, flow Q, density K
Relationship：
In the case of volume of traffic very little, when K=0, V=Vf, vehicle can travel freely.
It is prodigious in the volume of traffic, when V=0, K=Kj, flow speeds are intended to 0.
According to regression model and empirical model and history survey data, empirical model or achievement in research, with square-error
With minimum principle, road type is divided to build and select optimal " speed-flow " relational model, realization to be averaged by real-time section
Reckoning of the speed to real-time section flow.
As the improvement of said program, the real-time Dynamic Emission simulation of the realization road network level described in step 4, specifically,
Calculating model is discharged in conjunction with the automobile pollution for discharging computing capability with micro-scale, which will be dynamic according to what is inputted
State activity level parameter is modified emission factor.Discharging the input parameter needed for Calculating model generally should include：
Vehicle technology is horizontal：Vehicle technology type and ratio in the fleet simulated, are typically from local industry statistic
Report or traffic control department information of vehicles registered database, as " purposes-fuel oil-discharge capacity-technology " level Four of COPERT models is classified
System, " fuel+purposes " secondary classification system of MOVES the models, " vehicle size-fuel oil-car weight-air/combustion of IVE models
Expect control-vent gas treatment-evaporation control-vehicle age " multiclass classification system；
Movable vehicle is horizontal：The characterization parameter for reflecting fleet's dynamic moving feature, generally need to be with real-time dynamic information
It can be inputted using average speed sequence as dynamic moving level for data source, such as COPERT, IVE, MOVES model；This
Outside, the real-time traffic of each technical merit vehicle is also the important parameter for reflecting fleet's dynamic moving feature；
Road network information：Simulate zoning in each road type and its length, generally need to come from the spot investigation or electronically
Map file；
Oil product information：Each vehicle fuel-in-use with discharge relevant important parameter, such as RVP, C/Hratio, trace element
Content can be inquired by local oil product standard；
Environmental factor：Such as temperature, humidity, it is generally from meteorological department's monitoring data or public information distribution platform.
The invention has the advantages that：It is by the movable vehicle level under reflection road traffic actual motion condition
It considers, realizes the accurate acquisition of the real-time emission evaluation of traffic pollution for the level of net that satisfies the need, to optimization road operating condition, reduce machine
Motor-car discharge capacity, raising urban air-quality have great importance, the formulation to China's automobile pollution control measure and reality
Applying also has certain reference.
Description of the drawings
Fig. 1 is traffic flow character variable relation curve graph.
Fig. 2 is 2 real-time road traffic behavior schematic diagram of embodiment.
Fig. 3 is 2 section of embodiment magnitude of traffic flow schematic diagram per hour.
Fig. 4 is that discharge capacity renders figure per hour in embodiment 2 section.
Fig. 5 is that discharge capacity renders figure to 2 gridding of embodiment per hour.
Specific implementation mode
Embodiment 1
A kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation, is as follows：
Step 1. with segment intercept method obtain in real time, be stored, processing, base to disclosed real-time traffic information
Road network is carried out in ArcGIS, condition discrimination is carried out based on segment color identification method, at the real-time traffic information
Reason is with time identifier, section mark, the operable data of status indicator.The disclosed real-time traffic information is
Real-time road grade as unit of section, and temporal resolution is less than 1 hour.Road condition grade can should at least be divided into free flow,
Crowded stream, obstruction three kinds of grades of stream, and can obviously be distinguished.It is described to disclosed real-time traffic information at
Reason, specially first, towards disclosed real-time traffic information, exploitation algorithm is with Fixed Time Interval by the information with segment
The mode of interception is obtained and is stored in real time.Secondly, to each single segment of acquisition, contained pixel in the segment is identified
Color forms pixel number, pixel color value attribute list.Finally, according to segment coordinate information, with the coordinate system in electronic map
Coordinate conversion and road network are carried out based on ArcGIS, and by pixel color recognition result in the segment to corresponding in electronic map
The attribute in section is updated.
Step 2. establishes " real-time road-section speed " relational model：According to identified real-time road grade, section road
Road type, reference standard《DBJ440100/T 164-2013, urban highway traffic postitallation evaluation index system》Regulation, with the vehicle
Average speed corresponding to road condition grade of the fast section intermediate value as the road type.
Step 3. establishes " section speed-link flow " relational model：By traffic flow theory, road section traffic volume flow, speed,
Existing relationship, is calculated between density.Road type is divided to build and select optimal " speed-stream according to history survey data
Amount " relational model, realizes the reckoning from real-time section average speed to real-time section flow." the section speed-section stream
Amount " relational model, specifically, in traffic engineering, there are following relationships between speed V, flow Q, density K, reflect friendship
Some important characteristic variables of through-flow feature, as shown in Figure 1：
(1) maximum discharge qm, it is exactly the peak value on q-u curves.
(2) critical speed Um, speed when flow reaches very big.
(3) optimum density Km, density when flow reaches very big.
(4) jamming density Kj, wagon flow is intensive when can not move (U=0) to vehicle density.
(5) speed that passes unimpeded Uf, vehicle density tends to 0, average speed when vehicle advances freely.
For the type of speed flowrate relational model, including linear model, quadratic polynomial model, cubic polynomial mould
Type, exponential model, the regression model based on logarithmic model, with Greenshields models, Grenberg models and Underwood
Empirical model based on model.Wherein there are following relationships between Greenshields models medium velocity V, flow Q, density K：
In the case of volume of traffic very little, when K=0, V=Vf, vehicle can travel freely.
It is prodigious in the volume of traffic, when V=0, K=Kj, flow speeds are intended to 0.
According to regression model and empirical model and history survey data, empirical model or achievement in research, with square-error
With minimum principle, road type is divided to build and select optimal " speed-flow " relational model, realization to be averaged by real-time section
Reckoning of the speed to real-time section flow.
Step 4. is based on the movable vehicle horizontal analysis method of above " real-time road-section speed-link flow ", in conjunction with
Applicable automobile pollution discharges Calculating model, dynamic road section traffic volume activity level data will obtain road as input in real time
Dynamic Emission under road traffic actual motion condition.
The real-time Dynamic Emission simulation of the realization road network level, specifically, combining, there is micro-scale discharge to calculate
The automobile pollution of ability discharges Calculating model, the class model by according to the dynamic moving horizontal parameters inputted to emission factor
It is modified.Discharging the input parameter needed for Calculating model generally should include：
Vehicle technology is horizontal：Vehicle technology type and ratio in the fleet simulated, such as " the purposes-combustion of COPERT models
Oil-discharge capacity-technology " level Four taxonomic hierarchies, " fuel+purposes " secondary classification system of MOVES models, IVE models " vehicle is big
Small-fuel oil-car weight-air/fuel control-vent gas treatment-evaporation control-vehicle age " multiclass classification system.
Movable vehicle is horizontal：Reflect the characterization parameter of fleet's dynamic moving feature, such as COPERT, IVE, MOVES model
It can be inputted using average speed sequence as dynamic moving level, in addition, IVE model supports are distributed as dynamic moving with VSP-ES
Level input, MOVES model supports are distributed using VSP-v as dynamic moving level input etc..In addition, each technical merit vehicle
Real-time traffic is also the important parameter for reflecting fleet's dynamic moving feature.Road network information：Simulate each road type in zoning
And its length.
Oil product information：Each vehicle fuel-in-use with discharge relevant important parameter, such as RVP, C/Hratio, trace element
Content.
Environmental factor：Such as temperature, humidity.
Embodiment 2
Using Foshan City as Experimental Area, using electronic map real-time road condition information data as disclosed real-time traffic
The movable vehicle horizontal analysis method towards real-time road network emission evaluation is further described in information source.
Step 1. is directed to electronic map real-time road condition information data, with being obtained and stored automatically webpage with certain time frequency
Segment in figure real-time road, and ArcGIS is based on to tile data and carries out road network, based on the progress of segment color identification method
Real-time traffic information processing is the operable number with time identifier, section mark, status indicator by condition discrimination
According to.With the development of intelligent transportation system and big data technology, traffic information collection technology is enriched and is improved rapidly, is wide
General acquisition real-time dynamic traffic operation characteristic information provides possibility.Real-time road condition information is based on section, passes through four kinds of color wash with watercolours
Dye characterizes four kinds of unimpeded, jogging, congestion, heavy congestion real-time road traffic operating statuses respectively, and renewal frequency is less than 5 minutes,
The data source have in real time, openly, easily feature.It studies and the real-time traffic information that public information platform is issued is carried out
The fragment section of Fixed Time Interval, the vector data on shunting road carry out automatic collection, storage and processing.By to every polar plot
Each coordinate of piece carries out the extraction and identification of the different colours of different traffic, determines the real-time traffic shape of each road section
State, and the information is subjected to the map match based on ArcGIS.Real-time road traffic behavior signal such as Fig. 2.
Step 2. establishes " real-time road-section speed " relational model：According to identified real-time road grade, section road
Road type determines the road average-speed corresponding to the road condition grade with reference to correlation standard.Wherein, extremely by real-time road
The correspondence combination national standard of average travel speed《GB/T 29107-2012 Traffic Informations service traffic is retouched
It states》And Guangzhou provincial standard《DBJ440100/T 164-2013 urban highway traffic postitallation evaluation index systems》It is taken
Value.
Step 3. establishes " section speed-link flow " relational model：This example is handed over using speed flowrate model realization road
The real-time acquisition of through-current capacity.By the traffic on-site inspection carried out in the full road type of each subregion in Foshan City, acquisition subregion is divided
Road type, the hourly average magnitude of traffic flow of separating vehicles type and average speed obtain 96 sampling roads, 226152 groups of speed altogether
Spend flow value.Speed flowrate model is established using cubic polynomial fitting function subregion, road type, period, and and its
The telecommunication flow information that his technology obtains compares.According to the speed flowrate model and section real-time average speeds of structure, obtain
Section road traffic scaling results.The part road type built in this example " speed-flow " relational model such as table 1 at times
It is shown.
Table 1 " speed-flow " relational model example
Step 4. is obtained by the movable vehicle horizontal analysis method of above " real-time road-section speed-link flow "
Real-time Traffic Information is calculated, the Dynamic Emission factor for exporting point vehicle based on real-time average travel speed, dividing pollutant.
Discharge model with COPERT, consider Chancheng District of Foshan City motor vehicle composition (vehicle structure, vehicular applications, when registering the license
Between), motor vehicle operation conditions (travel speed), motor vehicle service condition (traveling ratio), weather information (moon temperature) and oil product
COPERT models are localized revision, and combine vehicle pipe by the essential informations such as component (RVP, C/Hratio, micronutrient levels)
Institute's ownership database and Foshan City's motor vehicle environmental mark provide the vehicular emission standards distribution proportion of database, determine motor-driven
Vehicle emission factor, the partial discharge factor under different average travel speeds are as shown in table 2：
Divide vehicle emission factor under the different average travel speeds of table 2
Dynamic Emission evaluation process, including discharge calculate monitoring, diffusion simulations, impact evaluation and visualization rendering hair in real time
Cloth.Spatial analysis module in combining geographic information system ArcGIS realizes each processing of scale gridding road network, in real time discharge prison
It surveys；By gridding hour discharge capacity information, it is based on Gauss Diffusion Mode simulating pollution diffusion concentration；Calculating prison will be discharged in real time
Survey, diffusion simulations result carry out multi-form visualization and render publication, and Fig. 3 is section magnitude of traffic flow signal per hour, Tu4Wei Lu
Discharge capacity renders figure and Fig. 5 griddings discharge capacity rendering result per hour to section per hour.
Above-listed detailed description is illustrating for possible embodiments of the present invention, which is not to limit this hair
Bright the scope of the claims, all equivalence enforcements or change without departing from carried out by the present invention are intended to be limited solely by the scope of the claims of this case.
Claims (5)
1. a kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation, which is characterized in that be as follows：
Step 1. with segment intercept method obtain in real time, be stored, processing to disclosed real-time traffic information, is based on
ArcGIS carries out road network, carries out condition discrimination based on segment color identification method, which is handled
For with time identifier, section mark, the operable data of status indicator；
Step 2. establishes " real-time road-section speed " relational model：According to real-time road grade, the section road class identified
Type, reference standard《DBJ440100/T 164-2013, urban highway traffic postitallation evaluation index system》Regulation, with the speed area
Between average speed corresponding to road condition grade of the intermediate value as the road type；
Step 3. establishes " section speed-link flow " relational model：By traffic flow theory, road section traffic volume flow, speed, density
Between existing relationship, calculated；Divide road type to build according to history survey data and optimal " speed-flow " is selected to close
It is model, realizes the reckoning from real-time section average speed to real-time section flow；
Step 4. is based on the movable vehicle horizontal analysis method of above " real-time road-section speed-link flow ", in conjunction with applicable
Automobile pollution discharge Calculating model, dynamic road section traffic volume activity level data will obtain road as input in real time and hand over
Dynamic Emission under logical actual motion condition.
2. a kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation according to claim 1, special
Sign is, the disclosed real-time traffic information described in step 1 is the real-time road grade as unit of section, and the time point
Resolution is less than 1 hour；Road condition grade can should at least be divided into free flow, crowded stream, obstruction three kinds of grades of stream, and can carry out apparent area
Point.
3. a kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation according to claim 1, special
Sign is, handling disclosed real-time traffic information described in step 1, specially first, towards it is disclosed in real time
Traffic information, exploitation algorithm by Fixed Time Interval by the information by segment intercept in a manner of obtained and deposited in real time
Storage；Secondly, it to each single segment of acquisition, identifies the color of contained pixel in the segment, forms pixel number, pixel color
Value attribute table；Finally, it according to segment coordinate information, is based on ArcGIS with the coordinate system in electronic map and carries out coordinate conversion and road
Net matching, and pixel color recognition result in the segment is updated the attribute of respective stretch in electronic map.
4. a kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation according to claim 1, special
Sign is speed V, " section speed-link flow " relational model described in step 3 flows specifically, in traffic engineering
There are following relationships between amount Q, density K, reflect some important characteristic variables of traffic flow character：
(1) maximum discharge qm, it is exactly the peak value on q-u curves；
(2) critical speed Um, speed when flow reaches very big；
(3) optimum density Km, density when flow reaches very big；
(4) jamming density Kj, wagon flow is intensive when can not move (U=0) to vehicle density；
(5) speed that passes unimpeded Uf, vehicle density tends to 0, average speed when vehicle advances freely；
For the type of speed flowrate relational model, including linear model, quadratic polynomial model, cubic polynomial model, refer to
Regression model based on exponential model, logarithmic model, with Greenshields models, Grenberg models and Underwood models
Based on empirical model；Wherein empirical model exists by taking Greenshields models as an example between speed V, flow Q, density K
Following relationship：
In the case of volume of traffic very little, when K=0, V=Vf, vehicle can travel freely；
It is prodigious in the volume of traffic, when V=0, K=Kj, flow speeds are intended to 0；
According to regression model and empirical model and history survey data, empirical model or achievement in research, most with error sum of squares
Small principle divides road type to build and select optimal " speed-flow " relational model, realizes by real-time section average speed
Reckoning to real-time section flow.
5. a kind of movable vehicle horizontal analysis method towards real-time road network emission evaluation according to claim 1, special
Sign is that the real-time Dynamic Emission simulation of the realization road network level described in step 4 is discharged specifically, combining with micro-scale
The automobile pollution of computing capability discharges Calculating model, the class model by according to the dynamic moving horizontal parameters inputted to discharge
The factor is modified；Discharging the input parameter needed for Calculating model generally should include：
Vehicle technology is horizontal：Vehicle technology type and ratio in the fleet simulated are typically from local industry statistic report
Or traffic control department information of vehicles registered database, as COPERT models " purposes-fuel oil-discharge capacity-technology " level Four taxonomic hierarchies,
" fuel+purposes " secondary classification system of MOVES the models, " vehicle size-fuel oil-car weight-air/fuel control of IVE models
System-vent gas treatment-evaporation control-vehicle age " multiclass classification system；
Movable vehicle is horizontal：Reflect the characterization parameter of fleet's dynamic moving feature, need to be generally number with real-time dynamic information
It can be inputted using average speed sequence as dynamic moving level according to source, such as COPERT, IVE, MOVES model；In addition, each
The real-time traffic of technical merit vehicle is also the important parameter for reflecting fleet's dynamic moving feature；
Road network information：Each road type and its length in zoning are simulated, investigation or electronically picture and text on the spot need to be generally come from
Part；
Oil product information：Each vehicle fuel-in-use with discharge relevant important parameter, such as RVP, C/Hratio, trace element contains
Amount, can be inquired by local oil product standard；
Environmental factor：Such as temperature, humidity, it is generally from meteorological department's monitoring data or public information distribution platform.
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| CN111260933A (en) * | 2020-02-11 | 2020-06-09 | 北京交通大学 | Hourly traffic volume measuring and calculating method for high-resolution motor vehicle dynamic emission list |
| CN111680936A (en) * | 2020-08-12 | 2020-09-18 | 深圳市城市交通规划设计研究中心股份有限公司 | Traffic carbon emission monitoring method and device and terminal equipment |
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