32 results about "Traffic emission" patented technology

The invention provides a method for dynamically monitoring urban traffic discharge pollution conditions based on taxi GPS data, and belongs to the technical field of atmospheric environment monitoring. The present invention firstly collects the taxi GPS data, the proportion of each vehicle type of different road types and the daily change of the taxi proportion; divides the collected GPS data into grids based on GIS, and then calculates the traffic volume and average speed of each grid , pollutant emissions; select the traffic volume, average speed, pollutant discharge and road length of each grid as monitoring factors, and calculate the monitoring index value of each grid according to the weight of each monitoring factor, and finally according to the monitoring index value Determine the traffic emission pollution status level of each grid. The invention solves the problem of low accuracy of real-time monitoring data of traffic emission pollution status in the prior art. The invention can be used for monitoring the urban traffic emission pollution status.

The invention discloses a nuclear magnetic resonance method for distinguishing carbonaceous sources of carbonaceous aerosol components. Collect samples of biomass source aerosol, coal combustion emission aerosol, and traffic emission (fossil source) aerosol samples that are the main sources of carbonaceous aerosols, and use solid-state nuclear magnetic resonance to analyze the carbon spectra of three types of typical source aerosols for data analysis. Divided into sp3-hybridized alkyl C (0-60ppm), sp2-hybridized carbon 100-165ppm) and carbon dioxide (60-100ppm+165-220ppm), with these three categories as end members, Make a ternary point diagram; measure the carbonaceous NMR spectrum data of the carbonaceous aerosol component sample to be tested, and analyze the ternary linear equation according to the above ternary point diagram data to calculate the carbonaceous aerosol component to be measured. The proportion of each carbonaceous source of biomass sources, coal combustion emissions, and traffic emissions in the aerosol component samples. The invention can distinguish the carbon sources of the carbonaceous aerosol components, and provides favorable conditions for preventing and controlling the carbonaceous aerosol components.

The invention discloses a method for predicting the average travel distance and road sections prone to congestion according to the planned road network, which comprises the following steps: Step 1: planning the road network and completing land use planning; Traffic generation and traffic absorption on each small plot; Step 3: Distribute traffic generation or absorption to each road; Step 4: Divide road units and mark road unit nodes; Step 5: According to the travel path , to calculate the average travel distance; Step 6: Calculate the average travel distance of the entire road network; Step 7: Predict the traffic volume and traffic volume ratio on each road section unit of the road network; Step 8: Evaluate the planned road network. The invention has the advantage of predicting the average travel distance and the traffic volume on each road during the road planning stage. The change predicts the change of the average travel distance at each stage of urban development and the road sections that are prone to traffic congestion at each stage, reflecting which roads are prone to congestion.

The invention relates to the technical field of traffic tail gas emission prediction, and provides a traffic tail gas emission prediction method based on a deep residual network. First, divide the area to be predicted into grid areas; then collect the vehicle GPS trajectory data set, holiday conditions and weather data in the area to be predicted in each time period, and calculate the traffic exhaust emissions of each grid in each time period Then construct the holiday-weather-emission sample set, the latest time sample set, the adjacent time sample set, the distant time sample set, and preprocess each sample set; then build a traffic emission prediction model based on the deep residual network, and train model; finally, use the trained traffic emission prediction model to predict the traffic exhaust emissions of each grid within the time period to be predicted. The invention can improve the prediction accuracy of traffic tail gas discharge, and can predict the traffic tail gas discharge of each sub-region in the whole city at the same time.

The invention discloses a crossing signal timing optimization method for reducing exhaust gas emission of a motor vehicle, and is applied to a single-point signal control crossing with (without) a left-turn short lane. An emission factor calibration method during red light and green light periods is brought forward based on motor vehicle specific power, and a signal timing optimization model of a minimum motor vehicle emission amount is constructed according to a traffic flow theory and operational research. Three common pollutants including CO, HC and NOx are taken into consideration, a traffic simulation experiment is designed by use of VISSIM software, a parameter calibration and model solution algorithm is compiled by use of MATLAB software, two emission factors of each pollutant of each lane are calibrated according to vehicle driving condition data, and a new signal timing optimization model is verified by use of traffic flow data. Results show that the emission factors during the green light period are higher than the emission factors during the red-light period, and the new method can reduce both vehicle delay and traffic emission. The method provided by the invention facilitates simultaneous reduction of the vehicle delay at a crossing and the traffic emission through optimization of a conventional signal timing scheme, thereby being widely applied to design of a single-point crossing signal timing scheme.

The invention discloses a vehicle sharing planning method based on urban heterogeneity, mainly adopts a market experiment method, a traffic network modeling optimization method and a traffic simulation method, especially in the traffic network modeling optimization and traffic simulation, establishes a reasonable description The carpooling system model under different urban conditions can analyze the effect of the scheme more realistically through simulation, so that the obtained carpooling planning method is more realistic and reliable; the analysis in the implementation process of the present invention can be used as a policy basis for alleviating traffic congestion and improving the traffic environment. It will ease traffic congestion in a city, save resources, reduce traffic emissions, and improve the environment; in the context of vigorously advocating carpooling, a reasonable carpooling system can be established to make urban traffic enter a virtuous circle and provide good traffic conditions for the society .

The invention discloses a carbon payment emission charging method based on dynamic user balanced traffic allocation, which comprises the following steps: determining a modified road section emission model based on average speed; determining a dynamic network loading method based on road section supply and demand; User-optimized traffic emission model; determine the carbon payment charging method, set the charging model based on the emission threshold of the road section, and set the corresponding emission threshold for each road section. emissions charges. The present invention establishes the relationship between the traffic allocation model and the vehicle emission model, changes the traveler's decision-making through the charging method, reduces the travel demand to a certain extent or prompts the traveler to choose a travel mode with less emission when considering multi-mode traffic distribution , thereby reducing road network emissions.

The invention provides a VSP-distribution-based traffic operation data and vehicle emission data coupling method and system. Excavation and analysis are conducted on features of traffic operation data and vehicle emission data, VSP distribution serves as an intervening variable, and a dynamic mapping relation between traffic operation parameters such as traffic flow, the average speed and vehicle running working condition and vehicle emission parameters such as the emission index and the emission factor. By means of the VSP-distribution-based traffic operation data and emission data coupling method and system, the physical significance of vehicle exhaust emission is simplified, and the efficiency and accuracy of traffic emission quantitative evaluation are improved.

The invention discloses a traffic discharge pollution visualization early warning method, which includes the basic data information of the monitoring area; extracts the characteristics of the relative position information; selects the optimal air quality monitoring station and the optimal traffic road node; constructs the prediction of air pollutants model; build a pollutant concentration prediction model for any monitoring point and correct it; perform visual early warning of urban traffic pollution emissions in the monitoring area. The invention also discloses a system for realizing the traffic discharge pollution visualization early warning method. The method of the invention can perform real-time prediction and early warning of real-time dynamic air pollutants at any point in the road traffic coverage area, and the method of the invention has high reliability and good practicability.