Prediction method and system for traffic volume of cross section of expressway, and medium

Abstract

A prediction method and system for a traffic volume of a cross section of an expressway, and a medium. The method comprises: acquiring traffic volume survey data of a road segment to be tested of an expressway (S101), wherein the traffic volume survey data comprises: the number of vehicles going from an entrance inside said road segment to an exit inside said road segment within a preset duration, the number of vehicles going from an entrance outside said road segment to the exit inside said road segment, the number of vehicles going from the entrance inside said road segment to an exit outside said road segment, and the number of vehicles going from the entrance outside said road segment to the exit outside said road segment; on the basis of the traffic volume survey data, respectively calculating traffic volumes of each entrance and each exit inside said road segment and a traffic volume of the entrance outside said road segment (S102); and calculating a traffic volume of each cross section of said road segment on the basis of the traffic volumes of each entrance and each exit inside said road segment and the traffic volume of the entrance outside said road segment (S103). Using data of an entrance and an exit of an expressway can accurately estimate a traffic volume of a cross section of a corresponding road segment.

Description

A method, medium and system for predicting highway section traffic volume

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to a Chinese patent application filed with the Patent Office of China on August 1, 2023, with application number 202310962053.0, entitled “A Method, Medium and System for Predicting Highway Section Traffic Volume,” the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present application relates to the technical field of highway cross-section traffic volume, and in particular to a method, medium and system for predicting highway cross-section traffic volume. Background Art

[0004] With the development of society and the expansion of cities, the mileage of roads and the number of cars are increasing rapidly. Traffic congestion is becoming one of the major issues hindering urban and economic development. Traffic volume forecasting can serve as an important basis for traffic decision-making, effectively carry out traffic control, and improve the efficiency of road traffic operations.

[0005] Currently, cross-section traffic volume forecasting methods include time series decomposition, exponential smoothing, and gray prediction techniques, leveraging medium-, long-, and recent measured traffic volume data. However, these methods are complex and lack practicality. Therefore, estimating cross-section traffic volume on a specific road section typically involves sending personnel to conduct on-site surveys of traffic flow or using on-site instrumentation. However, manual field surveys are often limited in duration, often limited to a few days and unable to be continuously observed year-round. The data is highly biased, and prolonged field work can be extremely demanding on human endurance.

[0006] The entrance and exit toll booths of various highways easily collect accurate data on vehicle traffic throughout the year. This data can be collected daily and summarized after the end of the year. Data is entered by computer, eliminating the need for human resources. However, there is currently a lack of technology to apply this data to cross-sectional traffic volume estimation.

[0007] Summary of the Invention

[0008] The embodiments of the present application provide a method, medium, and system for predicting highway cross-section traffic volume to address the problem that the existing technology does not fully utilize statistical information from highway entrance and exit toll stations and adopts on-site manual surveys, resulting in large errors in the survey results of highway cross-section traffic volume.

[0009] In a first aspect, a method for predicting highway section traffic volume is provided, comprising:

[0010] Obtaining traffic volume survey data for the section of the expressway to be tested, wherein the traffic volume survey data includes: the number of vehicles traveling from an entrance within the section to be tested to an exit within the section to be tested, the number of vehicles traveling from an entrance outside the section to be tested to an exit within the section to be tested, the number of vehicles traveling from an entrance within the section to be tested to an exit outside the section to be tested, and the number of vehicles traveling from an entrance outside the section to be tested to an exit outside the section to be tested within a preset time period;

[0011] Calculate the traffic volume of each entrance and each exit within the road section to be tested, as well as the traffic volume of the entrance outside the road section to be tested, based on the traffic volume survey data;

[0012] The traffic volume of each section of the road section to be measured is calculated based on the traffic volume of each entrance and each exit within the road section to be measured, as well as the traffic volume of the entrance outside the road section to be measured.

[0013] In a second aspect, a computer-readable storage medium is provided, on which computer program instructions are stored; when the computer program instructions are executed by a processor, a method for predicting highway section traffic volume as in the embodiment of the first aspect is implemented.

[0014] In a third aspect, a system for predicting highway section traffic volume is provided, comprising: a computer-readable storage medium as in the embodiment of the second aspect.

[0015] In this way, the embodiment of the present application rationally utilizes the data of the entrances and exits of the expressway. The data utilized is easy to collect, which can not only accurately estimate the cross-sectional traffic volume of the corresponding road section, but also avoid on-site detection, greatly reducing the consumption of manpower and material resources. The prediction method is relatively simple, with clear logic and steps, and is easy to form code, which greatly reduces the difficulty of learning, is conducive to promotion and application, and facilitates the development of a module specifically for calculating cross-sectional traffic volume in the existing highway big data platform system, laying the foundation for future highway management and decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] FIG1 is a flow chart of a method for predicting highway cross-section traffic volume according to an embodiment of the present application;

[0018] Figure 2 is a schematic diagram of a highway section. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0020] The present embodiment discloses a method for predicting traffic volume on a highway section. It should be understood that a highway has two travel directions: up and down. Therefore, traffic flow is also divided into up and down directions. Therefore, the traffic volume of a section in the present embodiment is the sum of the up and down traffic volumes. As shown in Figure 1, the method of the present embodiment includes the following steps:

[0021] Step S101: Obtain traffic volume survey data of a section of a highway to be inspected.

[0022] Among them, the traffic volume survey data includes: the number of vehicles going from an entrance within the section to be tested to an exit within the section to be tested within a preset time period, the number of vehicles going from an entrance outside the section to be tested to an exit within the section to be tested, the number of vehicles going from an entrance within the section to be tested to an exit outside the section to be tested, and the number of vehicles going from an entrance outside the section to be tested to an exit outside the section to be tested. It should be understood that the entrance outside the section to be tested refers to all entrances outside the section to be tested, and the exit outside the section to be tested refers to all exits outside the section to be tested. Since the entrances and exits outside the section to be tested are not within the scope of the survey entrances and exits in the embodiments of the present application, vehicles entering the highway from the entrance outside the section to be tested are vehicles of unknown origin, and vehicles exiting the highway from the exit outside the section to be tested are vehicles of unknown destination.

[0023] Traffic volume OD survey is the traffic origin and destination survey, also known as OD traffic volume survey. OD traffic volume refers to the traffic travel volume between the origin and destination.

[0024] Let a represent the number of vehicles going from the entrance to the exit, j represent the number of the entrance within the test section, m represent the number of the exit within the test section, x represent the entrance outside the test section, and x′ represent the exit outside the test section. Then there are several representations:

[0025] With a mj It represents the number of vehicles going from the jth entrance to the mth exit in the road section to be tested.

[0026] With a x′j It represents the number of vehicles going from the jth entrance in the road section to be tested to the exit outside the road section to be tested.

[0027] With a mx It represents the number of vehicles going from the entrance outside the road section to be tested to the mth exit within the road section to be tested.

[0028] With a x′x Indicates the number of vehicles going from the entrance outside the road section to be tested to the exit outside the road section to be tested.

[0029] Among them, j=1, 2, 3,..., i,...n, m=1, 2, 3,..., i,...n, i≠n.

[0030] As shown in Figure 2, suppose the road section to be tested has n known entrances A, B, ..., I, ..., N, and n exits A', B', ..., I', ..., N'. The entrances and exits outside the road section to be tested are represented by X and X' respectively. In this way, the following matrix can be established:

[0031] In general, a mj It can be obtained by counting the vehicle information recorded at the jth entrance and the mth exit. It should be understood that a vehicle cannot enter from the entrance and exit from the same section. Therefore, when j=m, a mj =0. a x′j It can be obtained by counting the vehicle information recorded at the jth entrance, a mx It can be obtained by counting the vehicle information recorded at the mth exit. In addition, in special cases, for example, due to related equipment failure, etc., a mj and / or a x′j and / or a mx If some of the data are missing, then the missing a needs to be calculated using the statistically available data. mj and / or a x′j and / or a mx Part of the data.

[0032] a x′x The vehicle being characterized is passing through the road section to be tested, and the corresponding information cannot be counted from the entrance and exit of the road section to be tested, so a x′x It is unknown and cannot be obtained through actual information, so it needs to be calculated.

[0033] Through the above analysis, for a mj 、a x′j 、a mx There are two cases for obtaining:

[0034] a. mj 、a x′j 、a mx Not missing.

[0035] Based on the vehicle information recorded at each exit and each entrance within the section to be tested, statistics are obtained on the number of vehicles going from an entrance within the section to be tested to an exit within the section to be tested, the number of vehicles going from an entrance outside the section to be tested to an exit within the section to be tested, and the number of vehicles going from an entrance within the section to be tested to an exit outside the section to be tested within a preset time period.

[0036] As mentioned above, since the vehicle information recorded at the entrance and exit of the road section to be measured can be obtained, the above three types of vehicle numbers can be directly obtained by counting these vehicle information.

[0037] 2. a mj and / or a x′j and / or a mx Some data is missing

[0038] b mj 、b x′j 、b mx Represents the missing a mj 、a xj 、a mx , create the following matrix:

[0039] It should be understood that the b in the above matrix x′x There is an essential difference between b and other b elements. x′x These are unknowns that arise from the inability to investigate. These are called necessary unknowns. Other b elements can be investigated, but for some reason they are not found. These are unknowns caused by human factors. These are called non-necessary unknowns.

[0040] 1. For the number of vehicles going to each exit within the road section to be tested, if the number of vehicles going to the exit within the road section to be tested from at least one entrance within the road section to be tested and / or the number of vehicles going to the exit within the road section to be tested from an entrance outside the road section to be tested cannot be counted, then the average of all the counted numbers of vehicles going to the exit within the road section to be tested is calculated as the missing number of vehicles going to the exit within the road section to be tested.

[0041] To deal with such non-necessary unknowns, we can calculate the average value of the known numbers in each row. The average value obtained is the representative value of the non-necessary unknowns in that row. That is, all the non-necessary unknowns in that row of the matrix are this average value, as follows:

[0042] For rows A′ to N′ in the above matrix, the number of vehicles missing in row m is the number of vehicles going to the mth exit in the road section to be tested. ∑a m,已知is the sum of the number of vehicles that can be counted in the mth row, that is, the sum of the number of vehicles that can be counted going to the mth exit in the road section to be tested, and h is the number of data that can be counted in the mth row.

[0043] Taking row B' of the above matrix as an example, let the number of data that can be counted in this row be h, then

[0044] Taking row C' of the above matrix as an example, let the number of data that can be counted in this row be h, then

[0045] 2. For the number of vehicles going to the exit outside the road section to be tested, if the number of vehicles going from at least one entrance within the road section to be tested to the exit outside the road section to be tested cannot be counted, then the average of all the counted numbers of vehicles going from the entrance within the road section to be tested to the exit outside the road section to be tested is calculated as the missing number of vehicles going from at least one entrance within the road section to be tested to the exit outside the road section to be tested.

[0046] For the X′ row in the above matrix, the missing Among them, a x′,已知 Not including a x′x , b x′ Not including b x′x ,∑a x′,已知 It is the sum of the number of vehicles that can be counted in the X′ row, that is, the sum of the number of vehicles that can be counted from each entrance in the road section to the exit outside the road section to be tested, and g is the amount of data that can be counted in the X′ row.

[0047] Taking the X′ row of the above matrix as an example, the number of data that can be statistically obtained in this row is g, then

[0048] Through the above process, we can get the matrix except a x′x All elements except

[0049] For a x′x , can be obtained by the following process:

[0050] 1. Use the number of vehicles going from the entrance outside the tested section to each exit inside the tested section (i.e. a 1x 、a 2x 、a 3x ,…,a ix ,…,a nx ) establish a first grey prediction model, and predict the number of vehicles going from the entrance outside the tested section to the exit outside the tested section (i.e., a x′x ), and the number of vehicles going from each entrance in the road section to the exit outside the road section to be tested (i.e., a x′1、a x′2 、a x′3 ,…,a x′i ,…,a x′n ) establish a second grey prediction model, and predict the number of vehicles going from the entrance outside the tested section to the exit outside the tested section (i.e., a x′x ) is the second predicted value.

[0051] The principle of the grey prediction model is as follows:

[0052] The grey prediction algorithm is a method for predicting a system containing uncertain factors. Before establishing a grey prediction model, the original sequence must be processed first, and the sequence after data processing becomes the generated column. There are two common data processing methods for grey systems: accumulation and subtraction. Grey prediction is based on the grey model. Among the many grey models, the GM(1,1) model is the most commonly used. The grey prediction model used in the embodiment of this application is the GM(1,1) model. The grey prediction algorithm is a well-known prior art, and its implementation process is as follows:

[0053] Let feature X (0) ={X (0) (i), i=1,2,…,n}. For example, to establish the first grey prediction model, then X (0) ={X (0) (i),i=1,2,…,n}={a 1x ,a 2x ,a 3x ,…a nx}, for establishing the second grey prediction model, then X (0) ={X (0) (i),i=1,2,…,n}={a x′1 ,a x′2 ,a x′3 …a x′n}, the grey prediction model is established as follows:

[0054] (1) To X (0) Perform one accumulation to obtain an accumulation sequence.

[0055] X (1) ={X (1) (k), k=0,1,2,...n}.

[0056] For example, for the first grey prediction model,

[0057] For example, for the second grey prediction model,

[0058] (2) To X (1)Establish the first-order linear differential equation GM(1,1) model.

[0059] (3) Solving the differential equation GM(1,1) we can get the grey prediction model.

[0060] (4) Since the GM(1,1) model obtains a cumulative amount, the data obtained by the model can be restored by cumulative subtraction. When k=n, a can be calculated. x′x The predicted value of .

[0061] 2. Calculate the average of the first predicted value and the second predicted value to obtain the number of vehicles going from the entrance outside the road section to the exit outside the road section to be tested.

[0062] Right now

[0063] in, represents the first predicted value, Represents the second predicted value.

[0064] Through the above process, the number of vehicles going from the entrance outside the section to be tested to each exit within the section to be tested and the number of vehicles going from each entrance within the section to be tested to the exit outside the section to be tested are calculated.

[0065] Step S102: Calculating the traffic volume of each entrance and each exit within the road section to be measured, and the traffic volume of the entrances outside the road section to be measured, based on the traffic volume survey data.

[0066] 1. Traffic volume at the entrance

[0067] For each entrance in the road section to be tested, the traffic volume of the entrance is obtained by calculating the sum of the number of vehicles going from the entrance to each exit in the road section to be tested and the number of vehicles going from the entrance to the exit outside the road section to be tested within a preset time period, divided by the preset time period.

[0068] Right now Where z represents the traffic volume at an entrance in the road section to be tested, then z j represents the traffic volume at the jth entrance in the road section to be tested, and T represents the preset time.

[0069] 2. Export traffic volume

[0070] For each exit within the tested section, the traffic volume of the exit is obtained by calculating the sum of the number of vehicles going to the exit from each entrance within the tested section and the number of vehicles going to the exit from entrances outside the tested section within a preset time period, divided by the preset time period.

[0071] Right now Where z′ represents the traffic volume at an exit in the road section to be tested, then z′ m Represents the traffic volume of the mth exit in the road section to be tested.

[0072] 3. Traffic volume at the entrance outside the road section to be measured

[0073] For each exit in the road section to be tested, the vehicles at each exit must come from other entrances in the road section to be tested and the vehicles at the entrances outside the road section to be tested. In this way, the traffic volume at each exit in the road section to be tested can be calculated using the following formula:

[0074] …

[0075] By analogy, the general formula for calculating the traffic volume of an entrance outside the road section to be tested based on an exit within the road section to be tested can be summarized as follows:

[0076] Where X represents the traffic volume of an entrance outside the tested section based on an exit within the tested section, then X m It represents the traffic volume of the entrance outside the road section to be tested based on the mth exit within the road section to be tested. Represents the probability of a vehicle going from an entrance to an exit. The entrance and exit can be inside or outside the road section to be tested. It represents the probability that a vehicle goes from the jth entrance to the mth exit in the road section to be tested. It represents the probability that a vehicle goes from an entrance outside the road section to be tested to the mth exit within the road section to be tested.

[0077] This can be obtained by deformation To calculate X m .

[0078] Specifically, Right now It is to calculate the ratio of the number of vehicles going from one entrance to one exit to the sum of the number of vehicles going from this entrance to all exits.

[0079] Where s represents the exit number in the road section to be tested, then a sj It represents the number of vehicles going from the jth entrance to the sth exit of the road section to be tested.

[0080] In this way, the traffic volume at the entrance outside the road section to be measured can be calculated using the calculated traffic volume at the entrance outside the road section to be measured based on each exit within the road section to be measured.

[0081] Specifically, the calculation formula for the traffic volume at the entrance outside the road section to be tested includes:

[0082] in, Indicates the traffic volume at the entrance outside the road section to be tested.

[0083] Step S103: Calculate the traffic volume of each section of the road section to be measured based on the traffic volume of each entrance and each exit within the road section to be measured, and the traffic volume of the entrance outside the road section to be measured.

[0084] The cross section in the embodiment of the present application refers to the cross section where the entrance and exit at the same position of the road section to be tested are located.

[0085] Specifically, this step includes the following process:

[0086] 1. Based on the traffic volume at each entrance and each exit within the road section to be measured, as well as the traffic volume at entrances outside the road section to be measured, calculate a first traffic volume total of vehicles entering the expressway from an entrance before a selected entrance within the road section to be measured and passing through the section where the selected entrance is located; a second traffic volume total of vehicles entering the expressway from entrances outside the road section to be measured and passing through the section where the selected entrance is located; a third traffic volume total of vehicles entering the expressway from a selected entrance within the road section to be measured and passing through the section where the selected entrance is located; and a fourth traffic volume total of vehicles entering the expressway from an entrance after a selected entrance within the road section to be measured and passing through the section where the selected entrance is located.

[0087] Take the section II' where the entrance I and exit I' are selected as an example for explanation, where the selected entrance I is the i-th entrance in the section to be tested. The details are as follows:

[0088] (1) Vehicles entering the highway from the entrance before the selected entrance I within the section to be tested

[0089] For example, a vehicle entering the highway from entrance A in the tested section must exit the highway from any exit between exit I' and exit N' in the tested section or from exit X' outside the tested section after passing through section II'. The corresponding total traffic volume is

[0090] Similarly, if a vehicle enters the highway from entrance B within the tested section and passes through section II′, and exits the highway from any exit between exit I′ and exit N′ within the tested section or from exit X′ outside the tested section, the corresponding total traffic volume is

[0091] By analogy, the calculation formula for the first total traffic volume Z1 of vehicles entering the highway from the entrance before the selected entrance I in the road section to be tested passing through section II′ is as follows:

[0092] Calculate the probability as before The principle is the same,

[0093] (2) Vehicles entering the highway from entrance X outside the road section to be tested

[0094] Vehicles entering the expressway from entrance X outside the test section passing through section II′ must exit the expressway from any exit between exit I′ and exit N′ within the test section or from exit X′ outside the test section. The second total traffic volume Z2 of vehicles entering the expressway from entrances outside the test section passing through section II′ is calculated as follows:

[0095] Calculate the probability as before The principle is the same,

[0096] (3) Vehicles entering the highway from the selected entrance I within the section to be tested

[0097] Vehicles entering the highway from entrance I within the test section must pass through section II′ regardless of which exit they exit. Therefore, the third total traffic volume Z3 of vehicles entering the highway from the selected entrance I within the test section passing through section II′ is the traffic volume of the selected entrance I. The calculation formula for Z3 is as follows:

[0098] (4) Vehicles entering the highway from the entrance after the selected entrance I within the section to be tested

[0099] Vehicles entering the expressway from an entrance after the selected entrance I in the section to be tested must exit the expressway from any exit between exit A' and exit I' in the section to be tested after passing through section II'.

[0100] For example, vehicles entering the highway from entrance I+1 in the tested section pass through section II′, and the corresponding total traffic volume is:

[0101] Vehicles entering the highway from entrance I+2 in the tested section pass through section II′, and the corresponding total traffic volume is:

[0102] By analogy, the fourth total traffic volume Z4 of vehicles entering the highway from the entrance after the selected entrance I in the section to be tested passing through section II′ is:

[0103] 2. Calculate the sum of the first traffic volume, the second traffic volume, the third traffic volume and the fourth traffic volume to obtain the traffic volume of the section where the selected entrance is located.

[0104] The traffic volume of section II' of the road section to be tested is the sum of the four types of traffic volumes mentioned above. The calculation formula for the traffic volume of section II' of the road section to be tested is as follows:

[0105] Z I-I′ =Z1+Z2+Z3+Z4.

[0106] In addition, an embodiment of the present application also provides a computer-readable storage medium, on which computer program instructions are stored; when the computer program instructions are executed by a processor, a method for predicting highway section traffic volume as described in the above embodiment is implemented.

[0107] In addition, an embodiment of the present application also provides a highway section traffic volume prediction system, including: a computer-readable storage medium as described in the above embodiment.

[0108] In summary, the embodiments of the present application rationally utilize the data of highway entrances and exits. The data utilized is easy to collect, which can not only accurately estimate the cross-sectional traffic volume of the corresponding road section, but also avoid on-site detection, greatly reducing the consumption of manpower and material resources. The prediction method is relatively simple, with clear logic and steps, and is easy to form code, which greatly reduces the difficulty of learning, is conducive to promotion and application, and facilitates the development of a module specifically for calculating cross-sectional traffic volume in the existing highway big data platform system, laying the foundation for future highway management and decision-making.

[0109] The above are only specific embodiments of the present application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for predicting highway section traffic volume, characterized in that: include: Obtaining traffic volume survey data of the section to be tested of the expressway, wherein the traffic volume survey data includes: the number of vehicles going from an entrance in the section to be tested to an exit in the section to be tested, the number of vehicles going from an entrance outside the section to be tested to an exit in the section to be tested, the number of vehicles going from an entrance in the section to be tested to an exit outside the section to be tested, and the number of vehicles going from an entrance outside the section to be tested to an exit outside the section to be tested within a preset time period; According to the traffic volume survey data, respectively calculating the traffic volume of each entrance and each exit in the road section to be tested, and the traffic volume of the entrance outside the road section to be tested; The traffic volume of each section of the road section to be measured is calculated based on the traffic volume of each entrance and each exit in the road section to be measured and the traffic volume of the entrance outside the road section to be measured.

2. The method for predicting highway section traffic volume according to claim 1, characterized in that: The step of obtaining traffic volume survey data of the section to be tested on the expressway includes: According to the vehicle information recorded at each exit and each entrance in the section to be tested, the number of vehicles going from an entrance in the section to be tested to an exit in the section to be tested, the number of vehicles going from an entrance outside the section to be tested to an exit in the section to be tested, and the number of vehicles going from an entrance in the section to be tested to an exit outside the section to be tested are counted within a preset time period; A first grey prediction model is established by using the number of vehicles going from the entrance outside the road section to be tested to each exit within the road section to be tested, and a first predicted value of the number of vehicles going from the entrance outside the road section to be tested to the exit outside the road section to be tested is predicted by the first grey prediction model; and a second grey prediction model is established by using the number of vehicles going from each entrance within the road section to be tested to the exit outside the road section to be tested, and a second predicted value of the number of vehicles going from the entrance outside the road section to be tested to the exit outside the road section to be tested is predicted by the second grey prediction model; The average of the first prediction value and the second prediction value is calculated to obtain the number of vehicles going from the entrance outside the road section to be tested to the exit outside the road section to be tested.

3. The method for predicting highway section traffic volume according to claim 1, characterized in that: The step of obtaining the traffic volume survey data of the section to be tested of the expressway also includes: For the number of vehicles going to each exit in the road section to be tested, if the number of vehicles going to the exit in the road section to be tested from at least one entrance in the road section to be tested and / or the number of vehicles going to the exit in the road section to be tested from an entrance outside the road section to be tested cannot be counted, then the average of all the vehicle numbers going to the exit in the road section to be tested that can be counted is calculated as the missing number of vehicles going to the exit in the road section to be tested; For the number of vehicles going to the exit outside the road section to be tested, if the number of vehicles going from at least one entrance in the road section to be tested to the exit outside the road section to be tested cannot be counted, resulting in the missing number of vehicles going from at least one entrance in the road section to be tested to the exit outside the road section to be tested, then the average of all the counted numbers of vehicles going from the entrances in the road section to be tested to the exit outside the road section to be tested is calculated as the missing number of vehicles going from at least one entrance in the road section to be tested to the exit outside the road section to be tested.

4. The method for predicting highway section traffic volume according to claim 1, characterized in that: For each entrance in the section to be tested, the traffic volume of the entrance is obtained by calculating the sum of the number of vehicles going from the entrance to each exit in the section to be tested and the number of vehicles going from the entrance to the exit outside the section to be tested within the preset time period, divided by the preset time period.

5. The method for predicting highway section traffic volume according to claim 1, characterized in that: For each exit within the tested section, the traffic volume of the exit is obtained by calculating the sum of the number of vehicles going to the exit from each entrance within the tested section and the number of vehicles going to the exit from the entrance outside the tested section within the preset time period, divided by the preset time period.

6. The method for predicting highway section traffic volume according to claim 1, characterized in that: The calculation formula for the traffic volume at the entrance outside the road section to be tested includes: in, Wherein, X represents the traffic volume of an entrance outside the tested section based on an exit in the tested section, represents the probability of a vehicle going from the entrance to the exit, z represents the traffic volume at an entrance in the section to be tested, z′ represents the traffic volume at an exit in the section to be tested, a represents the number of vehicles going from the entrance to the exit, j represents the number of the entrance in the section to be tested, m and s both represent the numbers of the exit in the section to be tested, x represents the entrance outside the section to be tested, and x′ represents the exit outside the section to be tested.

7. The method for predicting highway section traffic volume according to claim 5, characterized in that: The step of calculating the traffic volume of each section of the road section to be tested includes: According to the traffic volume of each entrance and each exit in the section to be tested, and the traffic volume of the entrance outside the section to be tested, calculate and obtain a first traffic volume total of vehicles entering the expressway from an entrance before a selected entrance in the section to be tested and passing through the section where the selected entrance is located, a second traffic volume total of vehicles entering the expressway from an entrance outside the section to be tested and passing through the section where the selected entrance is located, a third traffic volume total of vehicles entering the expressway from a selected entrance in the section to be tested and passing through the section where the selected entrance is located, and a fourth traffic volume total of vehicles entering the expressway from an entrance after a selected entrance in the section to be tested and passing through the section where the selected entrance is located; The sum of the first total traffic volume, the second total traffic volume, the third total traffic volume and the fourth total traffic volume is calculated to obtain the traffic volume of the section where the selected entrance is located.

8. The method for predicting highway section traffic volume according to claim 7, characterized in that: The calculation formula for the first total traffic volume Z1 of vehicles entering the expressway from the entrance before the selected entrance I in the section to be tested passing through the section II′ includes: in, The calculation formula for the second total traffic volume Z2 of vehicles entering the expressway from the entrance outside the road section to be tested passing through the section II′ includes: in, The third total traffic volume Z3 of vehicles entering the expressway from the selected entrance I in the road section to be tested passing through section II′ is the traffic volume of the selected entrance I; The calculation formula for the fourth total traffic volume Z4 of vehicles entering the expressway from the entrance after the selected entrance I in the section to be tested passing through the section II′ includes: The selected entrance I is the i-th entrance in the road section to be tested.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by a processor, the method for predicting highway section traffic volume according to any one of claims 1 to 8 is implemented.

10. A highway section traffic volume prediction system, characterized in that: include: The computer readable storage medium of claim 9.

Images