Method for investigating and estimating regional road motor vehicle emission based on typical traffic flow

Abstract

The invention discloses a method for investigating and estimating regional road motor vehicle emissions based on typical traffic flow, and relates to the technical field of motor vehicle emissions estimation.The method comprises the following steps that a test road is constructed, and experimental emissions are obtained based on the test road; acquiring a first emission threshold value and a second emission threshold value based on the experimental emission amount; acquiring a first parameter value and a second parameter value based on the first emission threshold value, the second emission threshold value and the experimental emission amount; acquiring a parameter fitting function based on the first parameter value and the second parameter value; obtaining a guessed path based on the information of the investigated and estimated regional roads and traffic checkpoints; based on the guess path and a parameter fitting function, obtaining the total emission of the regional roads; the objective of the invention is to solve the problem that in the prior art, the actual influence of a regional road environment on motor vehicle emission is not fully considered, and the driving path and speed of a target vehicle are difficult to accurately obtain, so that the emission estimation result is not accurate.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of motor vehicle emission estimation, in particular to a method for estimating regional road motor vehicle emissions based on typical traffic flow investigation. BACKGROUND

[0002] With the continuous growth of motor vehicle ownership, motor vehicle exhaust emissions have become one of the important sources of urban air pollution. Accurate estimation of regional road motor vehicle emissions is of great significance for formulating effective environmental policies, improving air quality, optimizing traffic management measures, and evaluating emission reduction effects. Therefore, it is of great significance to investigate and estimate regional road motor vehicle emissions.

[0003] In the traditional method for estimating regional road motor vehicle emissions, the corresponding motor vehicle emission factors are obtained based on different fuel types, emission stages and vehicle specification types. However, these emission data are mostly based on ideal operating conditions and do not fully reflect the emission characteristics under actual road conditions. Since the regional road environment has a significant impact on vehicle driving conditions, the actual emissions generated during normal driving are different from those under ideal conditions. In addition, it is difficult to accurately obtain the specific driving path and speed information of unfamiliar vehicles, further increasing the difficulty of emission estimation. For example, the patent with publication number CN116307837A discloses a regional motor vehicle emission evaluation method and system based on multi-source monitoring technology, but this scheme fails to effectively consider the impact of regional road environment on emissions, and it is difficult to accurately obtain the driving path and speed of the target vehicle, resulting in certain errors in the emission estimation results. Therefore, the existing technology generally lacks consideration of the impact of road environment on motor vehicle emissions and the difficulty of obtaining driving behavior information, which needs to be improved. SUMMARY

[0004] The present application aims to at least partially solve one of the technical problems in the prior art by constructing a test road, obtaining experimental emissions based on the test road, obtaining first and second emission thresholds based on the experimental emissions, obtaining first and second parameter values based on the first and second emission thresholds and the experimental emissions, obtaining a parameter fitting function based on the first and second parameter values, obtaining a guessed path based on the information of the investigated regional road and traffic checkpoint, and obtaining the total regional road emissions based on the guessed path and the parameter fitting function. This solves the problem that the existing technology fails to consider the impact of regional road environment on motor vehicle emissions, and the driving path and speed of the target vehicle to be detected are difficult to accurately obtain, resulting in inaccurate estimation of motor vehicle emissions.

[0005] To achieve the above-mentioned purpose, the present application provides a method for estimating regional road motor vehicle emissions based on typical traffic flow investigation, comprising the following steps:

[0006] obtaining basic category information of the motor vehicle;

[0007] constructing a test road and obtaining experimental emission based on the test road;

[0008] obtaining a first emission threshold and a second emission threshold based on the experimental emission;

[0009] obtaining a first parameter value and a second parameter value based on the first emission threshold, the second emission threshold and the experimental emission;

[0010] obtaining a parameter fitting function based on the first parameter value and the second parameter value;

[0011] obtaining a guessed path based on information of a regional road and a traffic checkpoint estimated by investigation;

[0012] obtaining a total regional road emission based on the guessed path and the parameter fitting function.

[0013] Further, the obtaining of the basic category information of the motor vehicle comprises the following sub-steps:

[0014] obtaining fuel types, respectively gasoline type and diesel type, obtaining motor vehicle pollutant emission stages, respectively national standard one, national standard two, national standard three, national standard four, national standard five and national standard six, and obtaining motor vehicle types, respectively micro passenger car, small passenger car, medium passenger car, large passenger car, micro truck, small truck, medium truck and large truck.

[0015] Further, the constructing of the test road and the obtaining of the experimental emission based on the test road comprises the following sub-steps:

[0016] selecting a first number of motor vehicles under the condition of different fuel types, motor vehicle pollutant emission stages and motor vehicle types, and marking the motor vehicles as experimental motor vehicles;

[0017] setting a target regional road with a length of S1 as the test road, and making the experimental motor vehicles pass through the test road at different speeds under the condition of the same fuel type, motor vehicle pollutant emission stage and motor vehicle type, obtaining the time of each experimental motor vehicle passing through the test road, and marking the time as T1;

[0018] obtaining the emission generated by each vehicle passing through the test road, and marking the emission as experimental emission.

[0019] Further, the obtaining of the first emission threshold and the second emission threshold based on the experimental emission comprises the following sub-steps:

[0020] under the condition of the same fuel type, motor vehicle pollutant emission stage and motor vehicle type, sorting the experimental emission in ascending order and marking the experimental emission as Sp1 to Spn, respectively; i ;

[0021] The first position value is obtained as k1*D, wherein k1 is a first coefficient, k1 is in a range of (0, 0.5), and D is a first quantity; an integer part of the first position value is obtained and marked as W1;

[0022] The second position value is obtained as k2*D, wherein k2 is a second coefficient, k2 is in a range of (0.5, 1); an integer part of the second position value is obtained and marked as W2;

[0023] Sp (w1) The corresponding experimental emission is marked as F1, and Sp (w2) The corresponding experimental emission is marked as F2.

[0024] The first emission threshold is obtained as F1-(F2-F1) / (k2-k1)*k1;

[0025] The second emission threshold is obtained as F2+(F2-F1) / (k2-k1)*(1-k2).

[0026] Further, obtaining the first parameter value and the second parameter value based on the first emission threshold, the second emission threshold and the experimental emission comprises the following sub-steps:

[0027] An experimental emission between and including the first emission threshold and the second emission threshold is obtained and marked as a screening emission;

[0028] The first parameter value is obtained as Sl / Tl;

[0029] The second parameter value is obtained as Pf / Tl; wherein Pf is the screening emission.

[0030] Further, obtaining the parameter fitting function based on the first parameter value and the second parameter value comprises the following sub-steps:

[0031] A plane rectangular coordinate system is established with the first parameter value as horizontal axis data and the second parameter value as vertical axis data, and the plane rectangular coordinate system is marked as a reference coordinate system;

[0032] The first parameter value and the second parameter value are taken as horizontal coordinates and vertical coordinates of coordinate points respectively, and the coordinate points are marked as reference coordinate points;

[0033] The reference coordinate points are plotted in the reference coordinate system to obtain a reference scatter plot;

[0034] The reference scatter plot is subjected to function fitting to obtain an initial fitting function.

[0035] Further, obtaining the parameter fitting function based on the first parameter value and the second parameter value further comprises the following sub-steps:

[0036] obtaining an initial function value by substituting the second number of first parameter values into the initial fitting function;

[0037] multiplying the initial function value by Tl to obtain a value, and marking the value as an initial emission amount;

[0038] determining whether all the initial emission amounts are greater than or equal to a first emission threshold corresponding to the first parameter value and less than or equal to a second emission threshold corresponding to the first parameter value, if not, adding a third number of experimental motor vehicles under the conditions of different fuel types, motor vehicle pollutant emission stages and motor vehicle types, repeating the obtaining of the initial fitting function until all the initial emission amounts are greater than or equal to the first emission threshold corresponding to the first parameter value and less than or equal to the second emission threshold corresponding to the first parameter value, if yes, marking the initial function value as a parameter fitting function.

[0039] Further, the guessed path based on the information of the regional road and the traffic checkpoint estimated by the investigation comprises the following sub-steps:

[0040] obtaining a regional road represented by line segments, marking the line segments as route line segments, obtaining intersection points between the route line segments, marking the intersection points as checkpoint points, and obtaining traffic checkpoints at the positions of the checkpoint points;

[0041] establishing a plane rectangular coordinate system, marking the coordinate system as a checkpoint coordinate system, and drawing the route line segments and the checkpoint points in the checkpoint coordinate system.

[0042] Further, the guessed path based on the information of the regional road and the traffic checkpoint estimated by the investigation comprises the following sub-steps:

[0043] obtaining the time and the position of each motor vehicle passing through the checkpoint points, marking the time and the position as real-time time and actual passing points;

[0044] obtaining the actual passing points in ascending order according to the real-time time and setting sequence numbers from small to large;

[0045] determining whether the actual passing points corresponding to adjacent sequence numbers are adjacent checkpoint points, if yes, obtaining the shortest route line segment between the two actual passing points, marking the route line segment as an adjacent line segment;

[0046] if not, connecting the two actual passing points to obtain a connecting line segment, obtaining the actual passing point with a smaller sequence number among the two actual passing points, marking the actual passing point as a starting passing point, obtaining the route line segment with the starting passing point as an end point, marking the route line segment as an initial line segment, obtaining the initial line segment with an angle less than 90° with the connecting line segment, marking the initial line segment as a candidate line segment, and obtaining the checkpoint point of the other end point of the candidate line segment, marking the checkpoint point as a screened checkpoint point;

[0047] acquire the actual passing point with larger serial number among the two actual passing points, and mark it as the terminal passing point; judge whether the screening intersection point and the terminal passing point are adjacent intersection points, if yes, acquire the route segment between the screening intersection point and the terminal passing point, and mark it as the assumed segment; if not, repeat the process of taking the screening intersection point as the starting passing point, acquiring the candidate segment and the screening intersection point, until the screening intersection point and the terminal passing point are adjacent intersection points;

[0048] acquire all the candidate segments and the assumed segment, acquire the shortest path between the starting passing point and the terminal passing point composed of the candidate segments and the assumed segment, and mark it as the guessed path.

[0049] Further, the regional road total emission amount is acquired based on the guessed path and the parameter fitting function, including the following sub-steps:

[0050] acquire the length of all the guessed paths and the adjacent segments, and mark it as Ss; acquire the maximum value of the real-time time difference of each motor vehicle, and mark it as Ts;

[0051] acquire the third parameter value as: Ss / Ts;

[0052] substitute the third parameter value as the abscissa into the corresponding parameter fitting function to obtain the predicted function value;

[0053] multiply the predicted function value by Ts to obtain the value marked as the predicted emission amount;

[0054] acquire the sum of the predicted emission amounts of all motor vehicles of the regional road in the survey time, and mark it as the regional road total emission amount.

[0055] The present application has the following advantages: the present application constructs a test road, acquires experimental emission amount based on the test road, acquires the first emission threshold and the second emission threshold based on the experimental emission amount, acquires the first parameter value and the second parameter value based on the first emission threshold, the second emission threshold and the experimental emission amount, acquires the parameter fitting function based on the first parameter value and the second parameter value, acquires the guessed path based on the information of the regional road and the traffic checkpoint in the survey estimation, and acquires the regional road total emission amount based on the guessed path and the parameter fitting function, which has the advantages that the method can effectively reduce the influence of the regional road environment on the emission estimation result, and relying on the vehicle information acquired by the traffic checkpoint, the actual driving path of the vehicle can be accurately speculated, thereby significantly improving the precision and reliability of the motor vehicle emission estimation;

[0056] The application has the advantages that the accuracy of the prediction of the initial fitting function is judged by further judging whether the initial function value is within the actual first emission threshold and the second emission threshold, and the initial fitting function is updated when the accuracy is not high, so that a more accurate parameter fitting function is obtained, and the motor vehicle emission estimation is more accurate. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 A step flowchart of the method of the application;

[0058] Figure 2 A schematic diagram of an initial fitting function of the application;

[0059] Figure 3 A schematic diagram of a connection line segment of the application;

[0060] Figure 4 A schematic diagram of a guessed path of the application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the application will be apparently and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the application.

[0062] Embodiment 1, please refer to Figure 1 As shown in the figure, the application provides a method for estimating motor vehicle emissions of a regional road based on typical traffic flow investigation, which comprises the following steps:

[0063] Step S1, obtaining basic category information of motor vehicles; step S1 comprises the following sub-steps:

[0064] Step S101, obtaining fuel types, which are gasoline type and diesel type, obtaining motor vehicle pollution emission stages, which are State One, State Two, State Three, State Four, State Five and State Six, and obtaining motor vehicle types, which are micro passenger car, small passenger car, medium passenger car, large passenger car, micro truck, small truck, medium truck and large truck; different motor vehicles have different emissions, so different types of vehicles need to be analyzed.

[0065] Step S2, constructing a test road to obtain experimental emissions based on the test road; step S2 comprises the following sub-steps:

[0066] Step S201, select a first number of motor vehicles under the condition of different fuel types, motor vehicle pollutant emission stages and motor vehicle types, marked as experimental motor vehicles; a single data cannot summarize regularity, so set the first number, for example, set the first number to 20;

[0067] Step S202, set a target regional road with a length of S1 as a test road, and make the experimental motor vehicles pass the test road at different speeds under the condition of the same fuel type, motor vehicle pollutant emission stage and motor vehicle type, to obtain the time of each experimental motor vehicle passing the test road, marked as T1; the data is more accurate based on the target regional road as the test road;

[0068] Step S203, obtain the emission amount generated by each vehicle passing the test road, marked as experimental emission amount;

[0069] In actual application, for example, under the condition of gasoline type, national six and medium-sized passenger car, set a target regional road with a length of 2 km as a test road, and obtain the time T1 of each experimental motor vehicle passing the test road as 0.1 h, and obtain the experimental emission amounts as 5.62 g, 5.81 g,..., 6.22 g.

[0070] Step S3, obtain a first emission threshold and a second emission threshold based on the experimental emission amount; step S3 includes the following substeps:

[0071] Step S301, sort the experimental emission amounts in ascending order under the condition of the same fuel type, motor vehicle pollutant emission stage and motor vehicle type, and mark them as Sp1 to Sp i ;

[0072] Step S302, obtain a first position value as k1*D, wherein k1 is a first coefficient, the range of k1 is (0, 0.5), and D is the first number; obtain the integer part of the first position value, marked as W1; the first position value is used to obtain the experimental emission amount with a smaller i, so the range of k1 is (0, 0.5), and the specific value of k1 can be selected as the middle value 0.25 in the range (0, 0.5);

[0073] Step S303, obtain a second position value as k2*D, wherein k2 is a second coefficient, and the range of k2 is (0.5, 1); obtain the integer part of the second position value, marked as W2; the first position value is used to obtain the experimental emission amount with a smaller i, so the range of k2 is (0.5, 1), and the specific value of k2 can be selected as the middle value 0.75 in the range (0.5, 1);

[0074] Step S304, mark Sp (w1) , corresponding to the experimental emission amount marked as F1, and mark Sp(w2) The corresponding experimental emission is marked as F2;

[0075] In step S305, the first emission threshold is F1-(F2-F1) / (k2-k1)×k1; the first emission threshold is the minimum value of the historical difference value when the experimental emission is uniformly distributed. Since the experimental emission is concentrated due to the same conditions, if the experimental emission exceeds the first emission threshold, it can be determined as abnormal experimental emission;

[0076] In step S306, the second emission threshold is F2+(F2-F1) / (k2-k1)×(1-k2);

[0077] In actual application, for example, when D is 20, k1 is 0.25, and k2 is 0.75, the first position value is k1*D=5, the integer part of the first position value is 5, then W1=5, the second position value is k2*D=15, the integer part of the second position value is 15, then W2=15, and Sp is obtained. (5) The corresponding experimental emission is 5.77g, then F1=5.77, Sp is obtained. (15) The corresponding experimental emission is 6.07g, then F2=6.07, the first emission threshold is 5.77-(6.07-5.77) / (0.75-0.25)×0.25=5.62, and the second emission threshold is 6.07+(6.07-5.77) / (0.75-0.25)×(1-0.75)=6.22.

[0078] In step S4, the first parameter value and the second parameter value are obtained based on the first emission threshold, the second emission threshold, and the experimental emission; step S4 includes the following sub-steps:

[0079] In step S401, the experimental emission between and including the first emission threshold and less than or equal to the second emission threshold is obtained, which is marked as a screening emission;

[0080] In step S402, the first parameter value is Sl / Tl;

[0081] In step S403, the second parameter value is Pf / Tl; wherein Pf is the screening emission; wherein the first parameter value can represent the speed of the motor vehicle, and the second parameter value can represent the speed of the emission;

[0082] In actual application, when Sl is 2km and Tl is 0.1h, the first parameter value is 2 / 0.1=20; for example, a screening emission is 5.62g, and the second parameter value is 5.62 / 0.1=56.2.

[0083] Step S5, obtaining a parameter fitting function based on the first parameter value and the second parameter value; step S5 includes the following sub-steps:

[0084] Step S501, establishing a plane rectangular coordinate system with the first parameter value as the horizontal axis data and the second parameter value as the vertical axis data, and marking it as a reference coordinate system;

[0085] Step S502, taking the first parameter value and the second parameter value as the horizontal coordinate and the vertical coordinate of the coordinate point respectively, and marking it as a reference coordinate point;

[0086] Step S503, drawing the reference coordinate point in the reference coordinate system to obtain a reference scatter plot;

[0087] Step S504, performing function fitting on the reference scatter plot to obtain an initial fitting function; wherein the first parameter value can represent the vehicle speed, and the second parameter value can represent the emission speed; the vehicle speed is related to the emission, so function fitting can be performed;

[0088] Step S505, substituting the second number of first parameter values into the initial fitting function to obtain initial function values; for example, the second number is 10, to verify the accuracy of the initial fitting function;

[0089] Step S506, multiplying the initial function value by Tl to obtain a value marked as an initial emission;

[0090] Step S507, determining whether all initial emissions are greater than or equal to the first emission threshold corresponding to the first parameter value and less than or equal to the second emission threshold corresponding to the first parameter value, if not, increasing the third number of experimental vehicles under the conditions of different fuel types, vehicle pollutant emission stages and vehicle types, repeating the initial fitting function until all initial emissions are greater than or equal to the first emission threshold corresponding to the first parameter value and less than or equal to the second emission threshold corresponding to the first parameter value, if yes, marking the initial function value as the parameter fitting function; the inaccuracy of the initial fitting function may be caused by insufficient data of the fitting function, and increasing half of the first number is enough, when the first number is 20, the third number is 10;

[0091] In practical application, please refer to Figure 2 shown in FIG. 1, under the conditions of gasoline type, national six and medium-sized passenger car, the initial fitting function, for example, when the first parameter value is 20, the vertical coordinate obtained by substituting the initial fitting function is 48.1, the initial emission is: 48.1x0.1=4.81, the first emission threshold corresponding to the first parameter value 20 is: 5.62, and the second emission threshold is: 6.22, then 4.81 satisfies greater than or equal to 5.62 and less than or equal to 6.22; marking the initial fitting function as the parameter fitting function.

[0092] Step S6, acquiring the guessed path based on the information of the regional road and traffic kiosk estimated by the investigation; step S6 includes the following sub-steps:

[0093] Step S601, acquiring the regional road represented by line segments, marked as route line segments, acquiring the intersection points between the route line segments, marked as intersection points, and acquiring the traffic kiosk at the position of the intersection points, marked as kiosk points; the traffic kiosk can acquire the passing information of each vehicle based on the license plate;

[0094] Step S602, establishing a plane rectangular coordinate system, marked as a kiosk coordinate system, and drawing the route line segments and the kiosk points in the kiosk coordinate system;

[0095] Step S603, acquiring the time and position of each motor vehicle passing through the kiosk points, marked as real-time time and actual passing points;

[0096] Step S604, acquiring the actual passing points in ascending order according to the real-time time and setting the sequence numbers from small to large;

[0097] Step S605, judging whether the actual passing points corresponding to adjacent sequence numbers are adjacent intersection points, if yes, acquiring the shortest route line segment between the two actual passing points, marked as adjacent line segments; because the traffic kiosk acquires the license plate data as an image, the license plate of the following vehicle may be blocked by the large vehicle in front, or the kiosk equipment may malfunction, resulting in the failure to acquire the real-time passing point through the kiosk point, so it is necessary to make a judgment;

[0098] Step S606, if not, connecting the two actual passing points to acquire the connecting line segment; acquiring the actual passing point with a smaller sequence number among the two actual passing points, marked as the starting passing point; acquiring the route line segment with the starting passing point as the end point, marked as the initial line segment; acquiring the initial line segment with an angle less than 90° with the connecting line segment, marked as the candidate line segment; acquiring the intersection point of the other end point of the candidate line segment, marked as the screening intersection point; because the candidate line segment can pass through too many routes of the actual passing point, if all of them are acquired, the calculation amount will be greatly increased;

[0099] Step S607, acquiring the actual passing point with a larger sequence number among the two actual passing points, marked as the terminal passing point; judging whether the screening intersection point and the terminal passing point are adjacent intersection points, if yes, acquiring the route line segment between the screening intersection point and the terminal passing point, marked as the assumed line segment; if not, repeating the acquisition of the candidate line segment and the screening intersection point with the screening intersection point as the starting passing point until the screening intersection point and the terminal passing point are adjacent intersection points;

[0100] Step S608, obtain all the candidate line segments and the hypothesis line segment, obtain the shortest path between the start-through point and the end-through point composed of the candidate line segment and the hypothesis line segment, and mark it as the guessed path; the shortest path between the start-through point and the end-through point composed of the candidate line segment and the hypothesis line segment is set as the guessed path, because the general driver will take the shortest path when driving;

[0101] In practical application, please refer to Figure 3 and Figure 4 the guessed path is obtained.

[0102] Step S7, obtain the total regional road emission based on the guessed path and the parameter fitting function; step S7 includes the following sub-steps:

[0103] Step S701, obtain the length of all the guessed paths and adjacent line segments, and mark it as Ss; obtain the maximum value of the difference of the real-time time of each motor vehicle, and mark it as Ts;

[0104] Step S702, obtain the third parameter value as Ss / Ts;

[0105] Step S703, obtain the predicted function value by substituting the third parameter value as the abscissa into the corresponding parameter fitting function;

[0106] Step S704, obtain the predicted emission by multiplying the predicted function value by Ts;

[0107] Step S705, obtain the sum of the predicted emissions of all motor vehicles on the regional road within the survey time, and mark it as the total regional road emission; the survey time is generally set to 1h, and therefore the survey time 1h can be set in different periods because the traffic volume is different at different times;

[0108] In practical application, please refer to Figure 3 and Figure 4 the length of all the guessed paths and adjacent line segments is obtained as 2.1km; the maximum value of the difference of the real-time time of each motor vehicle is obtained as 0.05h; the third parameter value is obtained as 42; the predicted function value is obtained as 111 by substituting 42 as the abscissa into the corresponding parameter fitting function; the predicted emission is obtained as 111x0.05h=5.55g; and the sum of all the predicted emissions is obtained as the total regional road emission.

[0109] In some embodiments, the electronic device can include a processor, a communication interface, a memory, and a communication bus. The processor, the communication interface, and the memory can communicate with each other via the communication bus. The memory can store computer-readable instructions. The processor can invoke the computer-readable instructions. When the processor executes the computer-readable instructions, the processor can perform the following functions according to the steps of the method for estimating the vehicle emission of a regional road based on a typical vehicle flow survey: obtaining basic category information of the vehicle; constructing a test road and obtaining an experimental emission; determining a first emission threshold and a second emission threshold based on the experimental emission; calculating a first parameter value and a second parameter value according to the first emission threshold, the second emission threshold, and the experimental emission; obtaining a parameter fitting function based on the first parameter value and the second parameter value; obtaining a guessed path based on the survey-estimated information of the regional road and the traffic checkpoint; and obtaining a total emission of the regional road based on the guessed path and the parameter fitting function.

[0110] In addition, the logic instructions in the memory can be implemented in the form of a software function unit and sold or used as an independent product. Based on this understanding, the technical solutions of the present application, or its contribution to the prior art, can be implemented in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (such as a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0111] In some embodiments, the computer program product can include a computer program stored in a computer-readable storage medium. The computer program can include program instructions. When the program instructions are executed by a computer, the computer can perform the method for estimating the vehicle emission of a regional road based on a typical vehicle flow survey. The method can include: obtaining basic category information of the vehicle; constructing a test road and obtaining an experimental emission based on the test road; determining a first emission threshold and a second emission threshold according to the experimental emission; calculating a first parameter value and a second parameter value based on the emission thresholds and the experimental emission; constructing a parameter fitting function according to the parameter values; combining regional road survey data and traffic checkpoint information to guess a vehicle driving path; and finally, estimating the total vehicle emission of the regional road based on the guessed path and the parameter fitting function.

[0112] In the embodiment 4, the application further provides a computer readable storage medium, and the application provides a computer readable storage medium, which stores a computer program. When the program is executed by a processor, each step in the method for estimating the vehicle emission of a regional road based on a typical vehicle flow survey is executed to realize the following functions: obtaining basic category information of a vehicle; constructing a test road and collecting experimental emission; determining a first emission threshold and a second emission threshold based on the experimental emission; calculating a first parameter value and a second parameter value according to the first emission threshold, the second emission threshold and the experimental emission; constructing a parameter fitting function based on the parameter values; combining regional road survey data and traffic gate information to infer a vehicle driving path; and finally, estimating the total vehicle emission of the regional road based on the inferred path and the parameter fitting function.

[0113] Through the description of the above embodiments, the embodiments of the application can be provided as a method, a system or a computer program product. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RkM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the method described in each embodiment or some parts of the embodiment.

[0114] In the embodiments provided in the application, it should be understood that the disclosed system or method can be implemented in other ways. The above described embodiments are only illustrative. For example, the division of the modules or units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of modules or units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed elements can be indirect coupling or communication connection through some communication interfaces, and the indirect coupling or communication connection between the systems, modules and units can be electrical, mechanical or other forms.

[0115] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the application, rather than limit them; although the application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application.

Claims

1. A method for estimating the amount of vehicle emissions on regional roads based on typical traffic volume surveys, characterized by, The method comprises the following steps: acquiring basic category information of the motor vehicle; constructing a test road and acquiring experimental emission based on the test road; acquiring a first emission threshold and a second emission threshold based on the experimental emission; acquiring a first parameter value and a second parameter value based on the first emission threshold, the second emission threshold and the experimental emission; acquiring a parameter fitting function based on the first parameter value and the second parameter value; acquiring a suspected path based on information of regional roads and traffic checkpoints estimated by investigation; acquiring a total regional road emission based on the suspected path and the parameter fitting function.

2. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 1, wherein, The acquiring of the basic category information of the motor vehicle comprises the following sub-steps: acquiring fuel types, which are gasoline type and diesel type respectively, acquiring motor vehicle pollutant emission stages, which are State One, State Two, State Three, State Four, State Five and State Six respectively, and acquiring motor vehicle types, which are micro passenger car, small passenger car, medium passenger car, large passenger car, micro truck, small truck, medium truck and large truck respectively.

3. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 2, wherein, The constructing of the test road and the acquiring of the experimental emission based on the test road comprise the following sub-steps: selecting a first number of motor vehicles under the condition of different fuel types, motor vehicle pollutant emission stages and motor vehicle types, and marking the motor vehicles as experimental motor vehicles; setting a target regional road with a length of Sl as the test road, and making the experimental motor vehicles pass through the test road at different speeds under the condition of the same fuel type, motor vehicle pollutant emission stage and motor vehicle type, acquiring the time of each experimental motor vehicle passing through the test road, and marking the time as Tl; acquiring the emission generated by each motor vehicle passing through the test road, and marking the emission as experimental emission.

4. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 3, wherein, The acquiring of the first emission threshold and the second emission threshold based on the experimental emission comprises the following sub-steps: The experimental emissions are sorted in ascending order under the same fuel type, motor vehicle pollutant emission stage, and motor vehicle type conditions and are labeled Sp1 to Sp i ; acquiring a first position value k1*D, wherein k1 is a first coefficient, the range of k1 is (0, 0.5), and D is the first number; acquiring an integer part of the first position value, and marking the integer part as W1; acquiring a second position value k2*D, wherein k2 is a second coefficient, the range of k2 is (0.5, 1); acquiring an integer part of the second position value, and marking the integer part as W2; Sp (w1) The corresponding experimental discharge is marked as F1, Sp (w2) The corresponding experimental discharge is marked as F2; acquiring the first emission threshold F1-(F2-F1) / (k2-k1)×k1; acquiring the second emission threshold F2+(F2-F1) / (k2-k1)×(1-k2).

5. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 4, wherein, The acquiring of the first parameter value and the second parameter value based on the first emission threshold, the second emission threshold and the experimental emission comprises the following sub-steps: acquiring experimental emission between and including the first emission threshold and and including the second emission threshold, and marking the experimental emission as screened emission; acquiring the first parameter value Sl / Tl; acquiring the second parameter value Pf / Tl; wherein Pf is the screened emission.

6. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 5, wherein, The acquiring of the parameter fitting function based on the first parameter value and the second parameter value comprises the following sub-steps: establishing a plane rectangular coordinate system with the first parameter value as horizontal axis data and the second parameter value as vertical axis data, and marking the plane rectangular coordinate system as a reference coordinate system; taking the first parameter value and the second parameter value as horizontal coordinates and vertical coordinates of coordinate points respectively, and marking the coordinate points as reference coordinate points; drawing the reference coordinate points in the reference coordinate system to acquire a reference scatter plot; An initial fitting function is obtained by fitting a function according to the scatter diagram.

7. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 6, wherein, The obtaining of the parameter fitting function based on the first parameter value and the second parameter value further includes the following steps: The second number of first parameter values are substituted into the initial fitting function to obtain initial function values; The initial function values are multiplied by Tl to obtain values marked as initial emissions; It is determined whether all the initial emissions are greater than or equal to the first emission threshold corresponding to the first parameter value and less than or equal to the second emission threshold corresponding to the first parameter value, if not, under the conditions of different fuel types, motor vehicle pollutant emission stages and motor vehicle types, each of the third number of experimental motor vehicles is added, the initial fitting function is repeatedly obtained until all the initial emissions are greater than or equal to the first emission threshold corresponding to the first parameter value and less than or equal to the second emission threshold corresponding to the first parameter value, if yes, the initial function values are marked as the parameter fitting function.

8. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 7, wherein, The guessed path is obtained based on the information of the regional road and the traffic checkpoint estimated according to the survey, and includes the following steps: The regional road is represented by a line segment, which is marked as a route line segment, the intersection between the route line segments is marked as a checkpoint point, the traffic checkpoint at the position of the checkpoint point is obtained, and the checkpoint point is marked as a checkpoint point; A plane rectangular coordinate system is established, which is marked as a checkpoint coordinate system, and the route line segment and the checkpoint point are drawn in the checkpoint coordinate system.

9. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 8, wherein, The guessed path is obtained based on the information of the regional road and the traffic checkpoint estimated according to the survey, and includes the following steps: The time and position of each motor vehicle passing through the checkpoint point are obtained, which are marked as real-time time and actual passing point; The actual passing points are arranged in ascending order according to the real-time time to obtain a serial number; It is determined whether the actual passing points corresponding to adjacent serial numbers are adjacent checkpoint points, if yes, the shortest route line segment between the two actual passing points is obtained, which is marked as an adjacent line segment; If not, the two actual passing points are connected to obtain a connection line segment; The actual passing point with a smaller serial number among the two actual passing points is marked as a starting passing point, and the route line segment with the starting passing point as an end point is marked as an initial line segment; The initial line segment with an included angle less than 90° with the connection line segment is obtained, which is marked as a candidate line segment, and the checkpoint point of the other end point of the candidate line segment is obtained, which is marked as a screening checkpoint point; The actual passing point with a larger serial number among the two actual passing points is marked as a terminal passing point, and it is determined whether the screening checkpoint point and the terminal passing point are adjacent checkpoint points, if yes, the route line segment between the screening checkpoint point and the terminal passing point is obtained, which is marked as a hypothetical line segment, if not, the screening checkpoint point is repeatedly taken as the starting passing point, the candidate line segment and the screening checkpoint point are obtained until the screening checkpoint point and the terminal passing point are adjacent checkpoint points; All the candidate line segments and the hypothetical line segments are obtained, and the shortest path between the starting passing point and the terminal passing point formed by the candidate line segments and the hypothetical line segments is obtained, which is marked as a guessed path.

10. The method of estimating regional road mobile source emissions based on a typical traffic survey according to claim 9, wherein, The total regional road emission is obtained based on the guessed path and the parameter fitting function, and includes the following steps: The lengths of all the guessed paths and the adjacent line segments are obtained, which are marked as Ss, and the maximum value of the difference of the real-time time of each motor vehicle is obtained, which is marked as Ts; The third parameter value is Ss / Ts. The third parameter value is substituted into the corresponding parameter fitting function as the abscissa to obtain a predicted function value; The predicted function value is multiplied by Ts to obtain a value, which is marked as the predicted emission amount; The sum of the predicted emission amounts of all motor vehicles on the regional road within the survey time is obtained, which is marked as the total emission amount of the regional road.

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