A highway network location degree calculation method based on passenger and freight action intensity

Abstract

The application discloses a kind of highway network location degree calculation method based on passenger and freight action intensity, comprising the following steps: Step1: clear highway network location degree calculation time-space range;Step2: data acquisition;Step3: calculate highway network location center;Step4: calculate highway network traffic intensity;Step5: calculate highway network passenger and freight action intensity;Step6: calculate highway network location degree standard value, output highway network location degree standardization result.The application clearly defines the time-space range of location degree calculation, collects the geographic information data of urban highway network and ordinary national and provincial road network, passenger and freight transport parameters, then calculates the highway network location center and traffic intensity respectively, based on this, solves the passenger and freight action intensity of inter-city highway network, and finally calculates the location degree standard value, to better grasp the location advantage situation of each city highway network in the region.

Description

TECHNICAL FIELD

[0001] The application relates to a highway network location degree calculation method based on passenger and freight action intensity and belongs to the technical field of highway network location degree calculation. BACKGROUND

[0002] A highway network is an important infrastructure for economic connection between cities. The highway network exists in a specific regional space system, plays a radiation role in the development of city economy, and is a key carrier for the exchange and connection of factors such as personnel, materials, information and capital between cities in a region. Influenced by the regional space, the radiation roles of highway networks of different cities are different, and thus the advantages of relative locations in the process of economic connection between cities are generated. The highway network location degree refers to the advantages and disadvantages of the highway network location of a city in a location system relative to the highway network locations of other cities.

[0003] The technology for calculating the highway network location degree is still in a blank state. Current technologies more focus on the advantages of the highway network from the perspective of the development level of a system, such as the density of the highway network, the number of monitoring facilities, the traffic capacity and the service level, and lack of considering the advantages of the highway network in the regional space connection from the perspective of location. How to measure the highway network location degree of a city is a problem that needs to be considered for completing the development planning of the highway network and understanding the interaction mode of the highway network between cities in a region.

[0004] The calculation of the highway network location degree can be considered from the perspective of passenger and freight action intensity. The passenger and freight action intensity reflects the interaction force generated by the highway network in passenger and freight transportation, and the greater the interaction force, the more the location advantages of the highway network in the economic connection of the space region can be highlighted. SUMMARY

[0005] The technical problem to be solved by the application is to provide a highway network location degree calculation method based on passenger and freight action intensity. The method takes geographic information data and passenger and freight transportation parameters of the highway network as data sources, calculates the location center and traffic intensity of the highway network, then calculates the passenger and freight action intensity between cities, and finally solves the location degree standard value based on the passenger and freight action intensity, so as to master the location advantage differences of the highway network of cities in a region.

[0006] The application adopts the following technical scheme to solve the above technical problem:

[0007] The application provides a highway network location degree calculation method based on passenger and freight action intensity, which comprises the following steps:

[0008] Step 1, defining the time and space range for calculating the highway network location degree.

[0009] The highway network includes the expressway network and the ordinary national and provincial road network. All the entrances of the expressway network and all the city exits of the ordinary national and provincial road network are selected as the basic objects for calculating the location degree. m and n represent the numbers of the expressway entrances and the city exits of the ordinary national and provincial road network respectively, m = 1, 2, …, M, n = 1, 2, …, N; the time range refers to the year for calculating the location degree of the highway network, and t represents the number of the date, t = 1, 2, …, 365; the space range refers to the spatial administrative region composed of multiple prefecture-level cities, and i represents the number of the city, i = 1, 2, …, J.

[0010] Step 2, data collection.

[0011] Based on the time and space range defined in step 1, the geographic information data and the passenger and freight transportation parameters are collected. The geographic information data includes the total mileage of the expressway network L ig , the total mileage of the ordinary national and provincial road network L ip , the longitude and latitude coordinates of the mth entrance (x igm , y igm ), and the longitude and latitude coordinates of the nth city exit (x ipn , y ipn ). The passenger and freight transportation parameters include the number of passengers of the passenger car, the load weight of the freight car, specifically the number of passengers q igmth of the hth passing passenger car and the load weight c igmtk of the kth passing freight car at the mth entrance on the tth day, and the number of passengers q ipntu of the uth passing passenger car and the load weight c ipnt of the wth passing freight car at the nth city exit on the tth day.

[0012] Step 3, calculation of the location center of the highway network (x i , y i ).

[0013] The location center of the highway network is defined as the center of the spatial region where the highway network is located. According to the geographic information data collected in step 2, the location centers of the expressway network and the ordinary national and provincial road network are solved respectively, and then the location center of the highway network in the i city is solved by using the weighted average method in combination with the total mileage data of the expressway network and the ordinary national and provincial road network.

[0014] Step 4, calculation of the traffic intensity of the highway network.

[0015] The traffic intensity of the highway network is defined as the level of supporting passenger and freight transportation of the highway network within a certain time, including the total passenger volume Q ig and the total freight volume C ig .According to the passenger and freight transportation parameters collected in step 2, the traffic intensity of the expressway network and the ordinary national and provincial road network is calculated respectively, and then the distance L from the location center of the expressway network and the location center of the ordinary national and provincial road network to the location center of the road network is solved respectively in combination with the result of step 3 igc , ipc , The road network traffic intensity is calculated according to the weighted average method.

[0016] Step 5, calculate the passenger and freight action intensity P of the road network ij .

[0017] The passenger and freight action intensity of the road network is defined as the degree of mutual influence of two cities on the road passenger and freight transportation, and the passenger and freight action distance D between the i, j cities is calculated according to the coordinates of the location center of the i, j cities. ij， Then the passenger and freight action intensity between the i, j cities is calculated according to the passenger and freight interaction formula.

[0018] Step 6, calculate the standard value R' of the location degree of the road network i .

[0019] According to the calculation result of step 5, the initial value R of the location degree of the road network is further solved i , and then the standard value calculation result of the location degree of the road network is generated through standardization processing.

[0020] As a kind of road network location degree calculation method based on passenger and freight action intensity described in the application, in step 3, the location center of the road network is obtained by the location center of the expressway network and the location center of the ordinary national and provincial road network;The location center of the expressway network and the location center of the ordinary national and provincial road network respectively refer to the center of gravity of the network composed of all expressway entrances of a city and the center of gravity of the network composed of all ordinary national and provincial road exits of a city.The specific calculation steps of the location center of the road network are as follows:

[0021] Step 31, calculate the location center (x ig , y ig ) of the expressway network of city i.According to the longitude and latitude coordinate data of the expressway entrance collected in step 2, the location center of the expressway network is solved according to the following formula:

[0022]

[0023] In the formula, (x igm , y igm ) represents the longitude and latitude coordinates of the mth entrance, and M represents the number of expressway entrances.

[0024] Step 32, calculate the location center (x ip , y ip). According to the longitude and latitude coordinate data of the ordinary national and provincial road city exit collected in step 2, the location center of the ordinary national and provincial road network is solved according to the following formula:

[0025]

[0026] In the formula, (x igm , y igm ) represents the longitude and latitude coordinates of the nth city exit; and N represents the number of ordinary national and provincial road city exits.

[0027] Step 33, calculating the highway network location center (x i , y i ) of city i. According to the total mileage L ig of the city highway network and the total mileage L ip of the ordinary national and provincial road network, the highway network location center is calculated by using the weighted average method, and the formula is:

[0028]

[0029] In the formula, α represents the weighted average coefficient, and α = L ig / (L ig + L ip ).

[0030] As the highway network location degree calculation method based on the passenger and freight action intensity according to the present application, in step 4, the highway network traffic intensity refers to the level of supporting passenger and freight transportation of the highway network in a certain time, and the specific steps of calculation are:

[0031] Step 41, calculating the traffic intensity of the highway network and the ordinary national and provincial road network of city i. According to the passenger and freight transportation parameters collected in step 2, the total passenger volume Q ig , Q ip and the total freight volume C ig , C ip of the highway network and the ordinary national and provincial road network are respectively calculated by using the method of first day average and then year summation, and the formula is:

[0032]

[0033]

[0034] In the formula, q igmth represents the number of passengers of the hth passing passenger car in the ith highway entrance of city i in the tth day; q ipntu represents the number of passengers of the uth passing passenger car in the nth national and provincial road city exit of city i in the tth day; H and U respectively represent the passenger car flow in the tth day of the highway entrance and the national and provincial road city exit of city i; and c igmtkCi,m,t,k represents the load of the kth truck in the mth highway entrance of city i on the tth day; c ipntw Ci,n,t,w represents the load of the wth truck in the nth national and provincial highway city exit of city i on the tth day; K and W represent the truck flow in the mth highway entrance and the nth national and provincial highway city exit of city i on the tth day, respectively.

[0035] Step 42, calculate the distance L between the highway network location center of city i and the highway network location center igc , the distance L between the general national and provincial highway network location center and the highway network location center ipc . According to the three location center results calculated in step 3, respectively calculate L igc , L igc , the formula is as follows:

[0036]

[0037] In the formula, (x i , y i ), (x ig , y ig ), (x ip , y ip ) represent the highway network location center, the general national and provincial highway network location center and the highway network location center respectively; 6371 represents the radius of the earth;

[0038] Step 43, calculate the highway network traffic intensity of city i. According to the calculation results of steps 41 and 42, the weighted average method is used to calculate the total passenger volume Q i , the total freight volume C i , the formula is as follows:

[0039]

[0040] In the formula, β represents the weighted average coefficient, β = L igc / (L igc + L ipc ).

[0041] As a highway network location degree calculation method based on passenger and freight action intensity according to the present application, in step 5, the passenger and freight action distance refers to the straight line distance between the highway network location centers of two cities, and the specific steps for calculating the passenger and freight action intensity of the highway network between cities are as follows:

[0042] Step 51, calculate the highway network passenger and freight action distance D ij of city i, j. According to the calculation results of the highway network location center in step 3, the highway network passenger and freight action distance of city i, j in the spatial range is calculated, and the formula is as follows:

[0043] D ij = 6371 × arcos [cos (yi )×cos(y j )×cos(x i -x j )+sin(y i )×sin(y j )]

[0044] In the formula, (x i y i ), (x j y j ) represent the location centers of the highway networks of cities i and j respectively; 6371 represents the Earth's radius.

[0045] Step 52: Calculate the passenger and freight transport forces F generated by the highway network in cities i and j. i F j Based on the traffic intensity results of the highway network in step 4, the force of passenger and freight transport is calculated using the following formula:

[0046]

[0047] In the formula, Q i Q j C represents the total passenger volume of the highway network in cities i and j, respectively; i C j These represent the total freight volume of the highway network in cities i and j, respectively.

[0048] Step 53: Calculate the passenger-freight interaction intensity P in cities i and j. ij Based on the calculation results of steps 51 and 52, the intensity P of passenger-freight interaction between cities i and j is calculated according to the passenger-freight interaction formula. ij The formula for passenger-freight interaction is:

[0049]

[0050] As described in this invention, the method for calculating the location index of a highway network based on the intensity of passenger and freight traffic is as follows: In step 6, the standard value of the highway network location index is calculated.

[0051] Step 61: Calculate the initial value R of the location of the city i highway network. i Based on the results of the passenger and freight interaction intensity calculation in step 5, the initial value of the highway network location intensity is further calculated using the following formula:

[0052]

[0053] In the formula, P ij J represents the intensity of passenger and freight traffic in cities i and j; J represents the number of cities within the spatial region.

[0054] Step 62, delimit the highway network location degree standard value range. In order to standardize the highway network location degree of each city in the region, further standardization processing is carried out, and the highway network location degree standard value range R' is defined i ∈(0, 100];

[0055] Step 63, calculate the highway network location degree standard value. The highway network location degree standard value R' of the city i in the target region is calculated according to the following formula i :

[0056]

[0057] In the formula, R i represents the initial value of the highway network location degree of the city i; R max represents the maximum value in the initial value of the highway network location degree, R max =max{R1, R2,..., R i ,...R n ).

[0058] Beneficial effects: compared with the prior art, the above technical scheme has the following effects:

[0059] The method defines the highway network location degree, collects geographic information data and passenger and freight transportation parameters of the highway network and the ordinary national and provincial road network, respectively calculates the highway network location center and the traffic intensity according to the weighted average method, then calculates the passenger and freight action intensity between cities, and solves the highway network location degree standard value based on this, and the method can better evaluate the advantage difference of the highway network location of the cities in the region. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 It is a whole flow chart of a highway network location degree calculation method based on passenger and freight action intensity;

[0061] Figure 2 It is a schematic diagram of the highway network location center and the passenger and freight action distance. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be described in detail below with reference to the drawings and specific examples.

[0063] The highway network location degree calculation method based on passenger and freight action intensity provided in the example considers the advantage difference of the highway network in the regional space connection from the location point of view, and overcomes the deficiencies in the previous highway network advantage research: paying attention to the development level of the highway network system, such as the highway network density, the quantity of monitoring facilities, the traffic capacity and the service level.

[0064] Therefore, the method defines the highway network location degree, determines the time and space range of the location degree calculation, collects the geographic information data and passenger and freight transportation parameters of the highway network, then calculates the highway network location center and traffic intensity by using the weighted average method, calculates the passenger and freight action distance on this basis, further solves the passenger and freight action intensity, and finally gives the standard value of the highway network location degree, so as to comprehensively grasp the advantage condition of the city highway network location.

[0065] In one embodiment, the calculation process of the highway network location degree of the present application is shown in Figure 1 , and mainly includes the following steps:

[0066] Step 1, determining the time and space range of the highway network location degree calculation. The highway network includes the expressway network and the ordinary national and provincial road network, all the entrances of the expressway network and all the city exits of the ordinary national and provincial road network are selected as the basic objects of the location degree calculation, and m and n are used to represent the numbers of the expressway entrances and the city exits of the ordinary national and provincial road, respectively, m = 1, 2, …, M, n = 1, 2, …, N; the time range refers to the year selected for the highway network location degree calculation, and t is used to represent the number of the date, t = 1, 2, …, 365; the space range refers to the spatial administrative region composed of multiple prefecture-level cities, and i is used to represent the number of the city, i = 1, 2, …, J;

[0067] Step 2, collecting data. Based on the time and space range determined in step 1, the geographic information data and the passenger and freight transportation parameters are collected, wherein the geographic information data includes the total mileage L ig of the city i expressway network, the total mileage L ip of the ordinary national and provincial road network, the longitude and latitude coordinates (x igm , y igm ) of the mth entrance, and the longitude and latitude coordinates (x ipn , y ipn ) of the nth city exit; the passenger and freight transportation parameters include the number of passengers of the mth entrance, the weight of the kth passing freight vehicle, and the number of passengers of the nth city exit, and the weight of the wth passing freight vehicle. igmth igmtk ipntu ipntw .

[0068] Step 3, calculating the highway network location center (x i , y i ). The highway network location center is defined as the center of the spatial region where the highway network is located, the highway network location center of the expressway network and the highway network location center of the ordinary national and provincial road network are solved according to the geographic information data collected in step 2, then the highway network location center of the city i is solved by using the weighted average method in combination with the total mileage data of the expressway network and the ordinary national and provincial road network.​​​

[0069] Step 4, calculate the highway network traffic intensity. Define the highway network traffic intensity is the level of highway network to support passenger and freight transport in a certain time, including the total passenger transport Q ig , the total freight transport C ig , according to the passenger and freight transport parameters collected in step 2, calculate the traffic intensity of the highway network and the ordinary national and provincial road network, then combine the results of step 3 to solve the distance L igc , L ipc , according to the weighted average method to calculate the highway network traffic intensity;

[0070] Step 5, calculate the highway network passenger and freight action intensity P ij . Define the highway network passenger and freight action intensity is the degree of mutual influence of two cities on highway passenger and freight transport, according to the coordinates of the highway network location center of city i, j, calculate the passenger and freight action distance D ij between i, j cities, then according to the passenger and freight interaction formula, calculate the highway network passenger and freight action intensity between i, j cities;

[0071] Step 6, calculate the highway network location degree standard value R' i . According to the calculation results of step 5, further solve the initial value of highway network location degree R i , and then through the standardization processing, generate the calculation results of highway network location degree standard value.

[0072] As shown in Figure 2 , the highway network location center and the ordinary national and provincial road network location center in step 3 are respectively the center of gravity of the network composed of all highway entrances and the center of gravity of the network composed of all ordinary national and provincial road city exits. The specific calculation steps of the highway network location center are as follows:

[0073] Step 31, calculate the highway network location center (x ig , y ig ) of city i. According to the longitude and latitude coordinate data of the highway entrance collected in step 2, solve the highway network location center according to the following formula:

[0074]

[0075] In the formula, (x igm , y igm ) represents the longitude and latitude coordinates of the mth entrance, and M represents the number of highway entrances.

[0076] Step 32, calculate the highway network location center (x ip , y ipBased on the latitude and longitude coordinates of the city exits of ordinary national and provincial highways collected in step 2, the location center of the ordinary national and provincial highway network is calculated using the following formula:

[0077]

[0078] In the formula, (x ig m ， y igm ) represents the latitude and longitude coordinates of the nth city's exit; N represents the number of city exits on ordinary national and provincial highways.

[0079] Step 33: Calculate the location center (x) of the city's i-th highway network. i y i According to the total mileage L of the urban expressway network. ig The total mileage of ordinary national and provincial road networks L ip The weighted average method is used to calculate the location center of the highway network. The formula is as follows:

[0080]

[0081] In the formula, α represents the weighted average coefficient, α = L ig / (L ig +L ip ).

[0082] In step 4, the traffic intensity of the highway network is calculated. The specific steps are as follows:

[0083] Step 41: Calculate the traffic intensity of the expressway network and the ordinary national and provincial road network in city i. Based on the passenger and freight transport parameters collected in Step 2, calculate the total passenger volume Q of the expressway network and the ordinary national and provincial road network respectively, following the method of first averaging daily and then summing annually. ig Q ip Total freight volume C ig C ip The formula is:

[0084]

[0085]

[0086] In the formula, q igmth q represents the number of passengers on the h-th passenger vehicle passing through the m-th highway entrance in city i on day t; ipntu H represents the number of passengers on the u-th passenger vehicle passing through the n-th national / provincial highway exit of city i on day t; H and U represent the passenger vehicle traffic flow at the highway entrance and the national / provincial highway exit of city i on day t, respectively; c igmtk c represents the cargo weight of the k-th truck passing through the m-th highway entrance in city i on day t; ipntwK represents the cargo weight of the w-th truck passing through the nth national / provincial highway exit of city i on day t; K and W represent the truck traffic flow at the highway entrance and the national / provincial highway exit of city i on day t, respectively.

[0087] Step 42: Calculate the distance L from the location center of the expressway network to the location center of the highway network in city i. igc The distance L from the location center of the ordinary national and provincial road network to the location center of the highway network ipc Based on the three location center results calculated in step 3, calculate L respectively. igc L ipc The formula is as follows:

[0088]

[0089] In the formula, (x i y i ), (x ig y ig ), (x ip y ip ) represent the location center of the expressway network, the location center of the ordinary national and provincial road network, and the location center of the highway network, respectively; 6371 represents the Earth's radius.

[0090] Step 43: Calculate the traffic intensity of the urban i-th highway network. Based on the calculation results of steps 41 and 42, the weighted average method is used to calculate the total passenger volume Q of the highway network. i Total freight volume C i The formula is:

[0091]

[0092] In the formula, β represents the weighted average coefficient, β = L igc / (L igc +L ipc ).

[0093] In step 5, the passenger and freight operational distance refers to the straight-line distance between the location centers of the road networks of two cities, such as... Figure 2 As shown, the intensity of passenger and freight traffic on the intercity highway network, P, is calculated. ij The specific steps are as follows:

[0094] Step 51: Calculate the passenger and freight transport distance D of the highway network in city i and j. ij Based on the results of the highway network location center calculation in step 3, the passenger and freight transport distances of cities i and j within the spatial range are calculated using the following formula:

[0095] D ij = 6371 × arcos[cos(y i )×cos(y j )×cos(xi - x j ) + sin(y i ) x sin(y j )

[0096] where (x i , y i ), (x j , y j ) represent the highway network location centers of cities i, j, respectively, and 6371 represents the radius of the earth.

[0097] Step 52, calculate the passenger and freight transport forces F i , F j generated by the highway network of city i, j

[0098]

[0099] where Q i , Q j represent the total passenger transport volume of the highway network of cities i, j, respectively, and C i , C j represent the total freight transport volume of the highway network of cities i, j, respectively.

[0100] Step 53, calculate the passenger and freight interaction strength P ij of city i, j ij . According to the results of steps 51 and 52, the passenger and freight interaction strength P ij between cities i, j is solved according to the passenger and freight interaction formula:

[0101]

[0102] In step 6, the highway network location degree standard value R′ i is calculated, and the specific steps are as follows:

[0103] Step 61, calculate the initial value R i of the highway network location degree. According to the calculation results of the passenger and freight interaction strength in step 5, the initial value of the highway network location degree is further calculated, and the formula is:

[0104]

[0105] where P ij represents the passenger and freight interaction strength of cities i, j, and J represents the number of cities in the spatial region.

[0106] Step 62, define the range of the highway network location degree standard value. In order to standardize the highway network location degree of each city in the region, further standardization processing is performed, and the range of the highway network location degree standard value R′ i is defined.∈(0, 100].

[0107] Step 63, calculating the highway network location degree standard value R' i . The highway network location degree standard value R' of each city in the target area is calculated according to the following formula i :

[0108]

[0109] In the formula, R i represents the initial value of the highway network location degree of the i city; R max represents the maximum value in the initial value of the highway network location degree, R max =max{R1, R2,..., R i ,...R n}.

[0110] In one embodiment, the present application also discloses a highway network location degree calculation system based on passenger and freight interaction strength, comprising:

[0111] A data acquisition module is configured to acquire geographic information data and passenger and freight transportation parameters within the time and space range for highway network location degree calculation.

[0112] A highway network location center calculation module is configured to calculate the highway network location center by using a weighted average method based on the expressway network location center and the national and provincial road network location center.

[0113] A highway network traffic intensity calculation module is configured to calculate the highway network traffic intensity by using a weighted average method based on the traffic intensity of the expressway network and the national and provincial road network.

[0114] A highway network passenger and freight interaction strength calculation module is configured to calculate the passenger and freight interaction distance between cities based on the coordinates of the highway network location centers of the two cities, and then calculate the highway network passenger and freight interaction strength between the cities according to a passenger and freight interaction formula.

[0115] A highway network location degree standard value calculation module is configured to calculate the initial value of the highway network location degree of each city, and obtain the highway network location degree standard value through standardization processing.

[0116] The technical solution of the above-mentioned highway network location degree calculation system based on passenger and freight interaction strength is similar to the above-mentioned method, and will not be described here.

[0117] Based on the same technical solution, the present application also discloses a computer readable storage medium storing one or more programs, wherein the one or more programs include instructions, and the instructions, when executed by a computing device, cause the computing device to perform the highway network location degree calculation method based on passenger and freight interaction strength as described above.

[0118] Based on the same technical solutions, the application further discloses an electronic device, comprising one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs comprise instructions for executing the road network location degree calculation method based on the passenger-freight action intensity as described above.

[0119] Those skilled in the art will understand that embodiments of the application can be provided as methods, systems, or computer program products. Therefore, the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0120] The application is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions, which are executed via the processor of the computer or other programmable data processing apparatus, generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for carrying out the functions specified in the flowcharts and / or block diagrams.

[0121] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction means, which implement the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for carrying out the functions specified in the flowcharts and / or block diagrams.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to generate a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for carrying out the functions specified in the flowcharts and / or block diagrams.

[0123] The above merely illustrates the specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application.

Claims

1. A method for calculating the location intensity of a highway network based on the intensity of passenger and freight traffic interaction, characterized in that, Includes the following steps: Step 1: Define the spatiotemporal scope for calculating the location of the highway network; Step 2: Based on the spatiotemporal scope defined in Step 1, collect geographic information data and passenger and freight transport parameters. The geographic information data includes the total mileage of the expressway network and the total mileage of the national and provincial road network for each city, as well as the latitude and longitude coordinates of each expressway entrance and the city exits of national and provincial roads. The passenger and freight transport parameters include the number of passengers and the cargo weight of each freight vehicle passing through each expressway entrance and the number of passengers and the cargo weight of each freight vehicle passing through each city exit of national and provincial roads. Step 3: Calculate the location center of the expressway network and the location center of the national and provincial road network, and then calculate the location center of the highway network. The location center of the expressway network and the location center of the national and provincial road network are the centroids of the network composed of all expressway entrances and the network composed of all national and provincial road city exits, respectively. The location center of the highway network is the weighted average of the location centers of the expressway network and the national and provincial road network. Step 4: Calculate the total passenger volume and total freight volume of the expressway network and the national and provincial road network, and then calculate the traffic intensity of the highway network; the traffic intensity of the highway network includes the total passenger volume and total freight volume of the highway network. The total passenger volume of the highway network is the weighted average of the total passenger volume of the expressway network and the national and provincial road network, and the total freight volume of the highway network is the weighted average of the total freight volume of the expressway network and the national and provincial road network. Step 5: Calculate the intensity of passenger and freight interaction in the highway network, which is the degree of mutual influence between the two cities in passenger and freight transportation. Step 6: Calculate the standard value of the location of the highway network. The specific calculation steps are as follows: Step 61: Calculate the initial value R of the location of the city i highway network. i : In the formula, P ij The intensity of passenger and freight interaction between cities i and j; J represents the number of cities within the spatial range; Step 62: Calculate the standard value R of the location of the urban i-highway network. i ′ : In the formula, R max This represents the maximum value among the initial locational values ​​of the highway network for all cities within the spatial range.

2. The method for calculating the location intensity of a highway network based on passenger and freight traffic intensity according to claim 1, characterized in that, The specific calculation steps for the location center of the highway network mentioned in step 3 are as follows: Step 31: Calculate the location center (x) of the highway network for city i. ig ,y ig ): In the formula, (x igm ,y igm ) represents the latitude and longitude coordinates of the m-th highway entrance in city i, and M represents the number of highway entrances in city i; Step 32: Calculate the location center (x) of the national and provincial road network for city i. ip ,y ip ): In the formula, (x igm ,y igm ) represents the latitude and longitude coordinates of the nth national and provincial road city exit of city i; N represents the number of national and provincial road city exits of city i; Step 33: Calculate the location center (xi) of the city's highway network using the weighted average method. i ,y i ): In the formula, α represents the weighted average coefficient, α = L ig / (L ig +L ip ), L ig The total mileage of the expressway network representing city i, L ip The total mileage of the national and provincial road network representing city i.

3. The method for calculating the location intensity of a highway network based on passenger and freight traffic intensity according to claim 1, characterized in that, The specific calculation steps for the highway network traffic intensity mentioned in step 4 are as follows: Step 41: Calculate the total passenger volume Q of the city's expressway network and national / provincial road network. ig Q ip Total freight volume C ig C ip : In the formula, q igmt The number of passengers on the j-th passenger vehicle passing through the m-th highway entrance in city i on day t; q ipntu Let H represent the number of passengers on the u-th passenger vehicle passing through the n-th national / provincial highway exit of city i on day t; H and U represent the passenger vehicle traffic flow at the highway entrance and the national / provincial highway exit of city i on day t, respectively; c igmtk c represents the cargo weight of the k-th truck passing through the m-th highway entrance in city i on day t; ipntw K represents the cargo weight of the w-th truck passing through the nth national / provincial highway city exit of city i on day t; K and W represent the truck traffic flow at the highway entrance and the national / provincial highway city exit of city i on day t, respectively. Step 42: Calculate the distance L from the location center of the expressway network to the location center of the highway network in city i. igc The distance L from the location center of the national and provincial road network to the location center of the highway network ipc : In the formula, (x i ,y i ),(x ig ,y ig ),(x ip ,y ip ) represent the latitude and longitude coordinates of the location center of the expressway network, the location center of the national and provincial road network, and the location center of the highway network, respectively; Step 43: Calculate the total passenger volume Q of the city's i-th highway network using the weighted average method. i Total freight volume C i : In the formula, β represents the weighted average coefficient, β = L igc / (L igc +L ipc ).

4. The method for calculating the location intensity of a highway network based on passenger and freight traffic intensity according to claim 1, characterized in that, The specific calculation steps for the passenger and freight load intensity of the highway network mentioned in step 5 are as follows: Step 51: Calculate the passenger and freight transport distance D between cities i and j on the highway network. ij : D ij =6371×arcos[cos(y i )×cos(y j )×cos(x i -x j )+sin(y i )×sin(y j )] In the formula, (x i ,y i ),(x j ,y j ) represent the location centers of the highway network in cities i and j, respectively; Step 52: Calculate the passenger and freight transport forces F generated by the highway network in city i,j. i ,F j : In the formula, Q i Q j C represents the total passenger volume of the highway network in cities i and j, respectively; i C j These represent the total freight volume of the highway network in cities i and j, respectively. Step 53: Calculate the intensity of passenger and freight traffic on the highway network between cities i and j. ij :

5. A system applying the highway network location calculation method based on passenger-freight interaction intensity as described in any one of claims 1 to 4, characterized in that, include: The data acquisition module is used to collect geographic information data and passenger and freight transport parameters within the spatiotemporal range of highway network location calculation. The highway network location center calculation module is used to calculate the highway network location center based on the location centers of the expressway network and the national and provincial road network, using a weighted average method. The highway network traffic intensity calculation module is used to calculate the highway network traffic intensity based on the traffic intensity of the expressway network and the national and provincial road network, using the weighted average method. The highway network passenger and freight interaction intensity calculation module is used to calculate the passenger and freight interaction distance between two cities based on the location center coordinates of the highway networks of the two cities, and then calculate the passenger and freight interaction intensity between the cities according to the passenger and freight interaction formula. The highway network location standard value calculation module is used to calculate the initial value of the highway network location of each city and obtain the standard value of the highway network location through standardization processing.

6. A computer-readable storage medium storing one or more programs, said one or more programs comprising instructions, characterized in that, When the instruction is executed by the computing device, it causes the computing device to perform the method as described in any one of claims 1 to 4.

7. An electronic device, characterized in that, It includes one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs include instructions for performing the method as described in any one of claims 1 to 4.

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