32 results about "Traffic emission" patented technology

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 an urban traffic carbon emission measurement and calculation system, and an urban traffic carbon emission measurement and calculation method. The urban traffic carbon emission measurement and calculation system comprises a driving factor generating module, a carbon emission measurement and calculation module and an emission reduction outcome evaluation module, wherein the driving factor generating module is used for extracting and generating driving factors according to various traffic emission reduction policies; the carbon emission measurement and calculation module is used for calculating energy consumption according to the driving factors, and calculating urban traffic carbon emission and atmospheric pollutant emission according to the energy consumption; and the emission reduction outcome evaluation module is used for evaluating emission reduction effects of the traffic emission reduction policies according to the urban traffic carbon emission and atmospheric pollutant emission. On the basis of fully analyzing the traffic emission reduction policies and combining with an LEAP model, the urban traffic carbon emission measurement and calculation system is established, scattered output data of the traditional model is integrated into a visual index, namely, the carbon emission, so that the carbon emission is liable to be used by decision makers directly, and the effective evaluation index and method are provided for the decision-making of policy support strength and time span.

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 is applicable to the technical field of environmental monitoring, and provides a method and a device for calculating traffic emission, and a terminal. The calculation method comprises the following steps: acquiring vehicle operation data of all road sections in a target area, wherein the vehicle operation data comprises operation data of various types of vehicles; based on the vehicle operation data, extracting traffic operation characteristics of all the road sections in the target area, wherein the traffic operation characteristics include the traffic jam levels of all the roadsections in the target area and the flow and speeds of various different types of vehicles; and calculating the traffic emission of the target area on the basis of the traffic operation characteristics and preset emission factors of various different types of vehicles. Hardware equipment for detecting the traffic emission does not need to be arranged, and the vehicle operation data of the urban area and the emission factors of different types of vehicles can be used for realizing the traffic emission calculation, so that the implementation cost is low and a calculation result is comprehensive.

A coordinate signal timing dial optimization method capable of lowering vehicle delay and traffic emission is applicable to main line intersection groups with (without) left-handed rotation short lanes. On the basis of impact analysis of coordinate signals on the main line traffic flow, short-lane space optimization is considered, and a main line intersection group space-time resource allocation optimization model is constructed, and the main line intersection group signal timing dial optimization model is constructed for determining the short-lane space. In order to evaluate the operating efficiency and the environmental conditions of main line intersection groups, three performance indexes of the specific form are provided, and a lane group average traffic delay estimation method and a traffic light period emission factor calibration method are improved. Then, technological application processes for models and methods are given for various conditions. By means of traffic simulation software VISSIM and programming software MATLAB, a computational example is used for explaining the technological application processes. A result shows that the novel method can integrally allocate time-space resources for main line intersection groups, the minimization of vehicle delay and traffic emission is achieved, and the method can be widely applied to signal timing dial design and optimization.

The invention discloses an estimation method for an influence of future motor vehicle structure adjustment on a traffic emission source list. Based on a traffic yearbook, and according to actual motorvehicle population and driving mileage of a city, a driving ratio of light and heavy vehicles to motorcycles in the city is estimated; according to collected and sorted literatures and data, the Reidvapor pressures of fuel and the sulfur content of the fuel in various regions are adjusted; by utilizing an MICAPS meteorological database, meteorological fields (temperature, humidity, cloud cover,terrain height and the like) of an estimated region are obtained, related environment parameters required by a model are adjusted, and motor vehicle emission factors of various regions and motor vehicle emission factors in a scene of different substitutions of future electric vehicles are estimated by utilizing the MOBILE model; and finally according to the estimated emission factors, and in combination with the motor vehicle population and the average driving mileage of the city, the influence of the future motor vehicle structure adjustment on the traffic emission source list is estimated.

The invention relates to a purification device, in particular to an automobile tail gas purification device. The automobile exhaust gas purifying device comprises an exhaust gas inlet pipe, which is connected with the shell of the purifier. Several groups of vertical filter screens are respectively installed between the screens, and a purification liquid is provided in the shell of the purifier. The beneficial effects of the present invention are: after cooling the exhaust gas of the automobile, it is purified in the purification liquid; during the purification process, the flue gas is sheared, stirred and collided horizontally and vertically, which can fully decompose the flue gas particles and make them be purified by the purified liquid. Adsorption, good effect on flue gas purification, avoiding the pollution of automobile exhaust to the environment.

The invention relates to the technical field of traffic exhaust emission prediction, and provides a traffic exhaust emission prediction method based on a deep residual network. The method comprises the following steps: firstly, dividing a to-be-predicted region into grid regions; acquiring a vehicle GPS trajectory data set, holiday and festival conditions and weather condition data of a to-be-predicted area in each time period, and calculating the traffic exhaust emission of each grid in each time period; constructing a holiday-weather-emission sample set, a nearest time sample set, an adjacent time sample set and a remote time sample set, and preprocessing each sample set; constructing a traffic emission prediction model based on a deep residual network, and training the model; and finally, predicting the traffic exhaust emission of each grid in the to-be-predicted time period by utilizing the trained traffic emission prediction model. According to the method, the accuracy of trafficexhaust emission prediction can be improved, and the traffic exhaust emission of each subarea in the whole city can be predicted at the same time.

The invention relates to a method and system for estimating urban mobile source pollution emission by using incomplete information. The method comprises steps that a road section is divided into two types according to the data density obtained on the road section, specifically including an information missing road section lacking traffic mode information due to sparse collected data and an information complete road section with enough dense data; a continuous speed field and a deduced flow value are constructed for the information complete road section through the motor vehicle driving related data, and a corresponding traffic emission value is calculated through a microscopic emission factor model according to the continuous speed field and the deduced flow value; a graph convolution unit and a gating linear unit are used for respectively extracting topological characteristics of a road network and time sequence dependence of motor vehicle emission sequences on a road section with complete information, so emission sequences on a road section with information missing are reconstructed, and missing emission distribution information is filled up. According to the method, more traffic modes and emission distribution characteristics are mined by using less urban traffic data, and the urban road section level traffic pollution emission refined estimation task is realized.

The invention discloses a carbon payment emission charging method based on dynamic user balanced traffic distribution. The method comprises the following steps: determining a corrected road section emission model based on an average speed; determining a dynamic network loading method based on the road section supply demand; adopting a dynamic user optimal traffic emission model based on an emission target; and determining a carbon payment charging method, setting a charging model based on a road section discharge threshold, setting a corresponding discharge threshold for each road section, andpaying a certain discharge cost when the discharge amount of a travel user passing through the road section exceeds the set threshold. According to the invention, the relationship between a traffic distribution model and a vehicle emission model is established, and the decision of the traveler is changed through the charging method, so that the travel demand is reduced to a certain extent or thetravel user is prompted to select the travel mode with less emission in consideration of multi-mode traffic distribution, and the road network emission is reduced.

The invention discloses a bus station model selection method based on microscopic traffic emission estimation. The invention relates to the technical field of traffic engineering design. According tothe method, based on VISSIM and CMEM models, oil consumption and emission at urban bus stops are analyzed; and analogue simulation is carried out on the traffic flows of the buses and the social vehicles in different station forms, and the traffic flows are coupled with a tail gas emission and oil consumption model to obtain second-by-second pollutant emission rates, oil consumption rates, total emission factors and oil consumption factors of the buses and the social vehicles in different station forms. According to the invention, the second-by-second pollutant emission rate, the oil consumption rate, the total emission factor and the oil consumption factor of buses and social vehicles under different station forms can be effectively simulated; and a reasonable bus station model selectionscheme considering bus commuting personnel pollution exposure is obtained, so that refined design of urban public transportation is facilitated, the public transportation service level is improved, and convenience is provided for urban bus station model selection.

The invention discloses a traffic signal robust control method considering traffic emission uncertainty. The method comprises the following steps: establishing a mapping relation between a road section traffic flow and road section traffic emission; performing equivalent transformation on the mapping relation by adopting a robust optimization method, and establishing a traffic emission objective function; and establishing a planning model according to the traffic emission objective function in combination with a traffic flow model, and solving an optimal signal timing scheme. According to the method, the mapping relation between traffic emission and traffic flow is established, so that the influence of traffic state change on traffic emission can be directly reflected; and the traffic emission amount is directly taken as an optimization target, so that a more effective traffic signal timing scheme can be found, the traffic emission is reduced, and the atmospheric environment quality is improved.

The invention discloses a traffic low-emission evolution regulation and control method and system, and the method comprises the steps: a virtual intersection corresponding to a real intersection is built for intersections with different geometrical shapes and topological structures, wherein the optimization of the low-emission signal control scheme of the traffic is realized based on a microscopicsimulation platform, so that the risk caused by an unreasonable signal scheme is reduced; due to the fact that optimization of the evolution control scheme takes vehicle average delay and traffic emission as comprehensive indexes, multi-objective optimization is achieved, the vehicle average delay and emission can be remarkably reduced after multiple times of learning, and the traffic capacity ofthe intersection is improved. Besides, the system of the invention learns a traffic low-emission optimization control scheme through interaction with the environment, solves the problem that accuratemathematical modeling is difficult to carry out, and is better suitable for different intersections and traffic flow conditions.

The invention discloses a low-carbon configuration optimization method for typical on-road parking spaces, and belongs to the technical field of traffic system planning. The method comprises the stepsthat: various data of road sections where on-road parking is set and is planned to be set are obtained; for a traffic environment with data collection conditions, low-carbon on-road parking optimal configuration is conducted through a carbon emission calculation model and a carbon emission comparison method; for a traffic environment where data collection is difficult, low-carbon on-road parkingoptimal configuration is performed through the carbon emission calculation model and a saturation coordinate method; and finally, evaluating the low-carbon emission reduction effects of a parking configuration scheme before and after optimization. According to the low-carbon configuration optimization method, reference can be provided for configuration and optimization links of on-road parking, the result of configuration optimization shows that the total amount of on-road parking carbon emission of a city can be effectively reduced, and the low-carbon configuration optimization method has positive significance for traffic emission reduction and overall energy conservation and emission reduction of the city.

The embodiment of the invention provides a method, a device and equipment for analyzing the influence of motor vehicle emission on air quality. The method comprises the following steps: constructing a local motor vehicle emission factor model database according to a basic emission factor library; generating urban dynamic traffic flow data according to the urban road network traffic flow; according to the local motor vehicle emission factor model database and the urban dynamic traffic flow data, generating urban road dynamic traffic emission total amount data; and carrying out multi-dimensional dynamic display on the urban dynamic traffic flow data, the urban road dynamic traffic emission total amount data and the air quality data. In this way, a set of Guangzhou city traffic network and emission information multi-dimensional dynamic display platform based on real-time traffic flow and environment monitoring data can be constructed, and motor vehicle emission dynamic updating on the hour scale can be achieved.

The invention discloses a car riding sharing planning method based on urban heterogeneity, which mainly adopts a market experiment method, a traffic network modeling optimization method and a traffic simulation method, and particularly establishes a car riding sharing system model for reasonably describing different urban conditions in traffic network modeling optimization and traffic simulation. The scheme effect is analyzed more practically through simulation, so that the obtained ride-sharing planning method is more real and reliable; analysis in the implementation process can be used as a policy basis for relieving traffic congestion and improving the traffic environment, it is predicted that the traffic congestion of a city will be relieved, resources are saved, meanwhile, traffic emission is reduced, and the environment is improved; under the background of vigorously advocating ride sharing, a reasonable ride sharing system can be established, so that urban traffic enters a virtuous circle, and a good traffic condition is provided for the society.