Method and system for measuring and calculating cargo communication volume

Abstract

The invention provides a method and a system for measuring and calculating a cargo communication volume. The method comprises the following steps: acquiring total freight data of a target area; the total freight data comprises highway freight data and common highway freight data; based on the total freight data, determining the expressway inter-region freight volume ratio of the expressway freight volume in the total expressway freight volume; based on the expressway freight volume and the expressway inter-region freight volume ratio, calculating an initial cargo exchange volume between the target region and other regions; based on the historical transportation data, determining a correction coefficient corresponding to the cargo exchange volume; the correction coefficient is used for representing the transportation characteristics of the transit vehicle in the target area; and according to the correction coefficient, correcting the initial cargo exchange volume to obtain a corrected cargo exchange volume. In the mode, the total cargo exchange amount corresponding to the regional road reflecting the real cargo interaction condition between the regions can be calculated, and the accuracy and reliability of a statistical result are improved.

Description

Methods and systems for measuring cargo exchange volume Technical Field

[0001] This application relates to the field of cargo transportation statistics technology, and in particular to a method and system for measuring cargo exchange volume. Background Technology

[0002] In the field of road freight transport statistics, accurately measuring the volume of freight exchange between regions is crucial for industry management and resource planning. A region's freight exchange volume includes not only inbound and outbound transport, but also a significant amount of transit transport passing through the region.

[0003] Existing calculation methods, on the one hand, are mostly based on vehicle registration location statistics, making it difficult to reflect the actual transportation volume of foreign vehicles in the local area. On the other hand, while existing methods can use highway data to estimate transportation volume in some areas, they fail to construct a complete calculation system covering entry, exit, and transit. In particular, the statistics on transit transportation volume are almost non-existent, and the inaccuracies caused by complex transportation scenarios such as transit vehicles entering and exiting highways multiple times within a region are not considered. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method and system for measuring the volume of freight exchange. By determining the proportion of inter-regional freight volume of expressway freight data in the total highway freight data, and combining it with a correction coefficient used to characterize the transportation characteristics of transit vehicles, the total volume of regional highway freight exchange that reflects the real freight interaction between regions can be calculated, thereby improving the accuracy and reliability of the statistical results.

[0005] In a first aspect, the present invention provides a method for measuring the volume of freight exchange, comprising: acquiring total freight data for a target region; the total freight data includes highway freight data and ordinary road freight data.

[0006] Based on total freight data, determine the proportion of inter-regional freight volume on expressways in the total road freight volume.

[0007] Based on the freight volume of highways and the proportion of freight volume between highway regions, the initial freight exchange volume between the target region and other regions is calculated; the initial freight exchange volume includes the initial transit freight exchange volume, the initial inbound freight exchange volume, and the initial outbound freight exchange volume.

[0008] Based on historical transportation data, correction coefficients are determined for the volume of cargo exchange; these correction coefficients are used to characterize the transportation characteristics of transit vehicles within the target area.

[0009] The initial cargo exchange volume is corrected based on the correction factor to obtain the corrected cargo exchange volume.

[0010] In an optional implementation, the step of obtaining highway freight data for the target area includes: obtaining highway boundary gantry data between the target area and adjacent areas, and highway passage records between the target area and other areas; the highway passage records include highway entry records and highway exit records for the target area; other areas include adjacent areas and non-adjacent areas.

[0011] Based on truck identification, time matching is performed on highway boundary gantry data, highway exit records, and highway entrance records to determine the corresponding transit trip sets, outbound trip sets, and inbound trip sets.

[0012] If there are corresponding highway entry and exit records within the time interval corresponding to the transit trip, delete the transit trip from the transit trip set to obtain an updated transit trip collection.

[0013] Based on the updated transit trip set, outbound trip set, and inbound trip set, highway freight data is generated.

[0014] In an optional implementation, the step of obtaining ordinary highway freight data for the target area includes: selecting a traffic dispatch station on the ordinary highway between the target area and adjacent areas.

[0015] Traffic flow of ordinary highway trucks is obtained from traffic survey stations and used as ordinary highway freight data.

[0016] In an optional implementation, when the highway freight data is data between the target area and adjacent areas, the step of determining the proportion of highway freight volume in the total highway freight volume based on the total freight data includes: calculating the highway freight volume based on the highway freight data.

[0017] The freight volume of ordinary roads is calculated based on the freight volume of ordinary roads and the freight volume of expressways.

[0018] The total road freight volume is obtained by adding the freight volume of expressways to the freight volume of ordinary roads.

[0019] Dividing the highway freight volume by the total road freight volume yields the percentage of inter-regional highway freight volume between the target region and adjacent regions.

[0020] In an optional implementation, the highway freight data includes truck model.

[0021] The steps for calculating highway freight volume based on highway freight data include: determining the total weight of vehicles and goods on the highway and the freight traffic flow on the highway based on highway boundary gantry data and truck type.

[0022] The total weight of trucks on highways is determined based on the truck traffic flow on highways and the preset truck weights by vehicle type.

[0023] The total freight volume on the highway is obtained by subtracting the total weight of the vehicles and goods on the highway from the total weight of the vehicles and goods on the highway.

[0024] In an optional implementation, the step of calculating the ordinary highway freight volume based on ordinary highway freight data and highway freight volume includes: calculating the average highway freight weight based on highway freight volume and highway truck traffic flow.

[0025] Obtain the freight traffic volume of ordinary highways from the ordinary highway freight data.

[0026] Multiply the average freight weight on expressways by the freight volume on ordinary roads to obtain the freight volume on ordinary roads.

[0027] In an optional implementation, when the highway freight data is data between the target area and non-adjacent areas, the step of determining the proportion of highway freight volume in the total highway freight volume based on the total freight data includes: determining the adjacent areas passed through when entering and leaving the target area from non-adjacent areas based on highway traffic records and truck trajectory data.

[0028] The proportion of inter-regional freight volume on highways between the target region and adjacent regions is defined as the proportion of inter-regional freight volume on highways between the target region and non-adjacent regions.

[0029] In an optional implementation, the step of determining the correction coefficient corresponding to the volume of cargo exchange based on historical transportation data includes: obtaining historical truck trajectory data from the historical transportation data.

[0030] Based on a preset recognition method, the first number of times a truck enters and exits the highway with a frequency greater than 1 and the second number of times a truck enters and exits the highway with a frequency equal to 1 are determined from the historical truck trajectory data.

[0031] Divide the first number by the second number to obtain the correction factor.

[0032] In an optional implementation, the step of correcting the initial freight exchange volume according to the correction coefficient to obtain the corrected freight exchange volume includes: calculating the transit corrected freight volume based on the correction coefficient, the highway freight volume, and the proportion of inter-regional freight volume on the highway.

[0033] Add the corrected transit cargo volume to the initial transit cargo exchange volume to obtain the corrected transit cargo exchange volume.

[0034] The corrected transit cargo volume is obtained by deducting the initial inbound cargo volume and / or the initial outbound cargo volume from the corrected inbound cargo volume and the corrected outbound cargo volume.

[0035] The total volume of goods exchanged is generated by adding the volume of goods exchanged in transit, the volume of goods exchanged inbound, and the volume of goods exchanged outbound.

[0036] Secondly, the present invention provides a system for measuring cargo exchange volume, comprising: a data acquisition module for acquiring total freight data of a target area; the total freight data includes highway freight data and ordinary road freight data.

[0037] The percentage calculation module is used to determine the percentage of inter-regional freight volume on highways within the total road freight volume, based on total freight data.

[0038] The cargo exchange volume calculation module is used to calculate the initial cargo exchange volume between the target area and other areas based on the highway freight volume and the proportion of inter-regional freight volume on highways. The initial cargo exchange volume includes the initial transit cargo exchange volume, the initial inbound cargo exchange volume, and the initial outbound cargo exchange volume.

[0039] The cargo exchange volume calculation module is also used to determine the correction coefficient corresponding to the cargo exchange volume based on historical transportation data; the correction coefficient is used to characterize the transportation characteristics of transit vehicles in the target area.

[0040] The cargo exchange volume calculation module is also used to correct the initial cargo exchange volume according to the correction coefficient, so as to obtain the corrected cargo exchange volume.

[0041] This application provides a method and system for measuring freight exchange volume. By acquiring highway freight data and ordinary road freight data for a target region, it can comprehensively reflect the freight flow in different transportation channels within that region. By determining the proportion of highway freight volume to inter-regional freight volume within the total road freight volume based on total freight data, it can quantify the contribution of different road types to regional freight transport, thus providing a unified benchmark for subsequent cross-regional exchange volume calculations. By calculating the initial transit, inbound, and outbound freight exchange volumes based on highway freight volume and the aforementioned proportion of inter-regional freight volume, it can achieve directional and structured analysis of inter-regional freight flow. By introducing historical transport data to determine correction coefficients, it can identify and quantify the transport characteristics of transit vehicles repeatedly entering and exiting highways within the target region, thereby correcting statistical biases caused by path segmentation. Correcting the initial exchange volume can significantly improve the accuracy and representativeness of the freight exchange volume measurement results, achieving a precise depiction of inter-regional freight flow, truly reflecting the level of regional road transport exchange, and providing a scientific basis for transportation planning, logistics layout, and macro-control.

[0042] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing the application. The objectives and other advantages of this application are realized and obtained through the structures particularly pointed out in the description, claims and drawings.

[0043] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0045] Figure 1 is a flowchart of the method for calculating cargo exchange volume provided in an embodiment of this application; Figure 2 is a schematic diagram of the system for calculating cargo exchange volume provided in an embodiment of this application; Figure 3 is a schematic diagram of the electronic device provided in an embodiment of this application.

[0046] Icons: 1-Data acquisition module; 2-Percentage calculation module; 3-Cargo exchange volume calculation module; 301-Processor; 302-Memory; 303-Bus; 304-Communication interface. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] To facilitate understanding of this embodiment, the embodiments of this application will be described in detail below.

[0049] Example 1: Figure 1 is a flowchart of the method for calculating the volume of cargo exchange provided in this application embodiment.

[0050] Referring to Figure 1, the method for calculating freight volume includes: step S101, obtaining total freight data for the target area; the total freight data includes highway freight data and ordinary road freight data.

[0051] Here, the target region refers to a specific geographical area where the volume of goods exchange needs to be measured, such as a province, a city cluster, or an economic zone.

[0052] Highway freight data refers to data that reflects the transportation activities of trucks on the highway network in the target area.

[0053] In a preferred embodiment, the data may specifically include highway provincial boundary gantry data and highway entrance / exit toll station passage record data. Provincial boundary gantry data can be used to identify transportation activities crossing the target area, while entrance / exit data can be used to identify transportation activities originating from or ending in the target area.

[0054] In other feasible embodiments, highway freight data may also include, but is not limited to: complete passage records from the Electronic Toll Collection (ETC) system and vehicle information (such as vehicle type, license plate, and number of axles) obtained from highway surveillance videos through image recognition technology.

[0055] Ordinary highway freight data refers to data that reflects the transportation activities of trucks on highways (such as ordinary national and provincial highways) outside the expressway network in the target area.

[0056] In a preferred embodiment, the data may specifically include data collected by traffic monitoring stations set up on ordinary national and provincial highways near the boundary between the target area and adjacent areas, particularly truck traffic data by direction and vehicle type.

[0057] In other feasible embodiments, ordinary road freight data may include, but is not limited to: data from dynamic weighing systems deployed on ordinary roads, data collected by mobile traffic observation equipment, historical road transport sampling survey data, or truck traffic and route information derived by analyzing navigation application data.

[0058] Freight data itself may include total vehicle and cargo weight, empty vehicle weight, vehicle axle type, vehicle type, load capacity, freight volume, etc., or basic data that can be used to deduce the above indicators.

[0059] Step S102: Based on the total freight data, determine the proportion of inter-regional freight volume on expressways in the total road freight volume.

[0060] In a preferred embodiment, the proportion of inter-regional freight volume on highways The calculations are performed at the boundary sections between the target area and adjacent areas. Specifically, this may include: using highway freight data (such as provincial border gantry data) to calculate the highway freight volume in a specific time period and direction (e.g., from area B into area A). The freight volume can be obtained by subtracting the standard weight of the corresponding vehicle model from the total weight of the vehicle and cargo.

[0061] Calculate the freight volume of ordinary highways in the same direction and during the same period using ordinary highway freight data (such as traffic flow data from traffic control stations). In one feasible approach, since ordinary highway traffic control stations typically only record traffic flow, the calculated average freight weight on expressways can be multiplied by the freight volume on ordinary highways to estimate the freight volume. .

[0062] Calculate total road freight volume .

[0063] Determine the proportion of inter-regional freight volume on highways in this direction. .

[0064] Inter-regional freight volume share of highways Preferably, it is categorized by direction (e.g., the proportion of inter-regional freight volume along highways from A to B). The proportion of inter-regional freight volume on the highway from B to A (Calculated separately) and by channel (the proportion of inter-regional freight volume on the highway from A to B1 and the proportion of inter-regional freight volume on the highway from A to B2 are calculated separately).

[0065] Step S103: Based on the freight volume of highways and the proportion of freight volume between highway regions, calculate the initial freight exchange volume between the target region and other regions; the initial freight exchange volume includes the initial transit freight exchange volume, the initial inbound freight exchange volume and the initial outbound freight exchange volume.

[0066] Here, it is necessary to identify the three types of highway freight volume—transit, inbound, and outbound—from the highway freight data. , , .

[0067] The highway gantry truck data is stratified by travel direction and truck type. The travel direction is further divided based on the region where the originating gantry is located and the region where the destination gantry is located. For a target region A, its neighboring region set B contains n provinces. i (i=1,2,3,...,n), can be divided into n(n-1) combinations according to the direction of transportation, excluding transportation within the same region.

[0068] In a preferred embodiment: highway transit freight volume This can be achieved by matching highway provincial border gantry data. For example, within time period T, truck records that pass through two provincial border gantries belonging to different adjacent regions (e.g., passing through gantry BA first, then gantry AD) can be identified as a single transit. Here, D represents another adjacent region of target region A.

[0069] Inbound freight volume on highways and outbound freight volume of highways This can be achieved by analyzing highway toll records at entrances and exits. For example, data from an entrance station outside the target area A but an exit station inside the target area A is counted as entry; data from an entrance station inside A but an exit station outside A is counted as exit.

[0070] In other embodiments, the distinction between transit, entry, and exit can also be achieved by analyzing large-scale truck trajectory data (such as GPS). By determining the positional relationship between the trajectory start point, end point, and target area, as well as the dwell time and trajectory within the target area, these three types of transportation can be classified.

[0071] Secondly, the proportion of inter-regional freight volume utilizing highways Calculations are performed.

[0072] In a preferred embodiment, the initial cargo exchange volume =Corresponding highway freight volume / Corresponding proportion of inter-regional freight volume on highways .

[0073] Initial volume of inbound cargo exchange = .

[0074] Initial outbound cargo exchange volume = .

[0075] When dealing with non-adjacent regions, since target region A and non-adjacent region C do not share a common boundary, direct calculation is not possible. .

[0076] In a preferred embodiment, by analyzing truck transport data (such as GPS tracks), the most frequently traversed adjacent region B when entering and leaving region A (not adjacent region C) can be determined, and then... or This is used to estimate the proportion of inter-regional freight volume on highways.

[0077] In other embodiments, a traffic gravity model or a route selection model based on minimizing transportation costs may be used to determine the most likely adjacent regional corridors to be used, and then the proportion of inter-regional freight volume of the highway in that corridor can be invoked.

[0078] Step S104: Based on historical transportation data, determine the correction coefficient corresponding to the volume of cargo exchange; the correction coefficient is used to characterize the transportation characteristics of transit vehicles in the target area.

[0079] In a preferred embodiment, the transport characteristic is that transit vehicles enter and exit highways multiple times within the target area. This behavior may cause a single transit transport to be incorrectly identified as both an entry and an exit, thereby overestimating entry and exit volumes and underestimating transit volumes.

[0080] At this point, historical transportation data can be historical truck GPS trajectory data.

[0081] Correction coefficient This can be calculated by analyzing GPS tracks; for example, by statistically analyzing the proportion of all transit trips where the number of times a trip involves entering or exiting the highway is greater than one. (Number of trips involving more than 1 entry and exit from the highway) and The proportion of trips with 1 entry and exit from the highway.

[0082] In other feasible embodiments, historical transportation data is not limited to GPS tracks, but may also be historical ETC passage records, highway toll records or navigation data.

[0083] The correction factor can also be a probability value calculated based on the above features, representing the probability that an initial trip is misclassified (e.g., initially a transit trip, but with an 80% probability that it is actually an entry trip).

[0084] Step S105: Correct the initial cargo exchange volume according to the correction coefficient to obtain the corrected cargo exchange volume.

[0085] In a preferred embodiment, based on the correction factor Combined with highway freight volume, calculate the freight volume that was misclassified. (That is, the portion that should have been transit was counted as entry and exit).

[0086] This part of the error Add back initial transit cargo exchange volume: Corrected transit volume .

[0087] This part of the error This should be deducted from the initial inbound and outbound freight exchange volumes. To ensure balance, the deduction can be made based on the proportion of inter-regional freight volume on highways in the initial inbound and outbound volumes, respectively. Allocation deduction: Adjusted inbound volume .

[0088] Revised outbound volume .

[0089] Finally, by adding the revised transit cargo volume, the revised inbound cargo volume, and the revised outbound cargo volume, we can obtain the final and more accurate total cargo volume for the target region. .

[0090] The order of the above steps is not absolutely fixed. For example, the correction coefficient can be calculated in advance, and the calculation of the proportion of inter-regional freight volume on highways and the identification of the initial volume can also be processed in parallel.

[0091] In one embodiment, step S101, which involves obtaining highway freight data for the target area, includes the following steps S201-S204.

[0092] Step S201: Obtain highway boundary gantry data between the target area and adjacent areas, as well as highway traffic records between the target area and other areas; highway traffic records include highway entry records and highway exit records of the target area; other areas include adjacent areas and non-adjacent areas.

[0093] Here, highway boundary gantry data refers to the data collected by highway provincial boundary gantries set up at the physical boundary between the target area and adjacent areas. The data should at least include information such as truck identification (e.g., license plate number), travel time, direction of travel (e.g., entry or exit), adjacent area to which the gantry belongs, total vehicle and cargo weight, and vehicle type (e.g., classified by axle type).

[0094] Highway toll records refer to the data generated by the highway network toll collection system for highway entrances and exits. Each complete toll record should include at least the following information: truck identification, entrance station name, entrance time, exit station name, exit time, total weight of vehicle and cargo, and vehicle type.

[0095] Based on travel records, highway entry records (i.e., records where the entry point is outside the target area and the exit point is within the target area) and highway exit records (i.e., records where the entry point is within the target area and the exit point is outside the target area) can be filtered out. Other areas include both geographically directly adjacent areas and non-adjacent areas. Travel records can clearly reflect whether vehicles come from or go to non-adjacent areas.

[0096] Step S202: Based on truck identification, perform time matching on highway boundary gantry data, highway exit records, and highway entrance records respectively to determine the corresponding transit trip set, outbound trip set, and inbound trip set.

[0097] Here, the gantry data is sorted in ascending order by truck identification and transit time. Two consecutive gantry records are filtered out, provided the first record indicates inbound travel and the second indicates outbound travel, and the adjacent regions corresponding to the two records' gantries are different. The region corresponding to the inbound gantry is designated as the origin region, and the region corresponding to the outbound gantry is designated as the destination region. Simultaneously, the time interval between the two transit records is calculated, and abnormal trips with time intervals exceeding a preset threshold (e.g., 24 hours) are removed, thus obtaining a preliminary set of transit trips.

[0098] The system iterates through all highway travel records (i.e., highway entrance and exit station data). Records where the entrance station is within the target area but the exit station is outside the target area are identified as outbound trips and included in the outbound trip set. Records where the entrance station is outside the target area but the exit station is within the target area are identified as inbound trips and included in the inbound trip set.

[0099] Step S203: If there are corresponding highway entry and exit records within the time interval corresponding to the transit trip, delete the transit trip from the transit trip set to obtain an updated transit trip set.

[0100] Here, although some vehicles are recorded as crossing the border on the gantry record, they may have exited the highway within the target area during the crossing process (for example, to eat or rest). This behavior is statistically split into one entry and one exit, and is corrected by an adjustment factor in subsequent calculations.

[0101] Iterate through each transit trip in the initial set of transit trips. Using the truck identifier of the trip as an index, search for whether there is a highway entry record or highway exit record within the target area within the transit time interval (i.e., between the entry gantry passage time and the exit gantry passage time), that is, whether there is a highway entrance or exit station record within the target area.

[0102] If such a record is found, it means that the vehicle entered or exited the highway within the target area during the transit process. This should be identified as a non-pure transit trip and removed from the transit trip set.

[0103] The result of the above filtering is the updated collection of transit itineraries, which contains only pure transit itineraries.

[0104] Step S204: Generate highway freight data based on the updated transit trip set, outbound trip set, and inbound trip set.

[0105] Here, the data from the updated transit trip sets, outbound trip sets, and inbound trip sets are aggregated. Preferably, the data is categorized and layered according to transport direction (e.g., from origin region to destination region, or from entry station region to exit station region) and vehicle type (e.g., by axle type), and the freight traffic volume (i.e., number of trips) and total vehicle and cargo weight for each category are aggregated separately. The aggregated data constitutes the highway freight data.

[0106] In one embodiment, step S101, which involves obtaining ordinary road freight data for the target area, includes the following steps S301-S302.

[0107] Step S301: Select a traffic survey station on the ordinary highway between the target area and the adjacent area.

[0108] Here, ordinary highways are preferably ordinary national and provincial highways. A traffic control station is selected on each ordinary national and provincial highway that crosses the boundary between the target area and adjacent areas.

[0109] In a preferred embodiment, in order to ensure that the data collection points are spatially comparable, the selected traffic survey station is preferably the station closest to the corresponding highway provincial boundary gantry.

[0110] Step S302: Obtain the ordinary highway freight traffic from the traffic survey station as ordinary highway freight data.

[0111] Here, truck traffic data for a specific time period (which should be consistent with the time period for collecting highway freight data) is obtained from all selected traffic monitoring stations.

[0112] Ordinary highway traffic monitoring stations typically only record truck traffic flow (i.e., vehicle count) and generally do not include weight information.

[0113] The acquired traffic flow data for ordinary highway trucks is preferably also summarized according to the direction of travel (e.g., from region A to region B, from region B to region A) and vehicle type.

[0114] The aggregated traffic data is then used as general road freight data in subsequent steps to calculate the proportion of general road freight volume and inter-regional freight volume on expressways.

[0115] In one embodiment, when the highway freight data is data between the target area and adjacent areas, that is, when the data between the target area and adjacent areas is calculated, step S102 includes the following steps S401-S404.

[0116] Step S401: Calculate the highway freight volume based on the highway freight data.

[0117] Here, the net weight of goods transported via highway in a specific direction (e.g., from adjacent region B to target region A) within the measurement period (e.g., time period T) is calculated and denoted as . .

[0118] A preferred calculation method is to subtract the vehicle's own weight from the total weight of the vehicle and cargo.

[0119] In other feasible embodiments, if the highway freight data (e.g., derived from advanced weighing systems or toll data) already directly contains cargo net weight information, the highway freight volume can be directly aggregated.

[0120] Step S402: Calculate the ordinary road freight volume based on the ordinary road freight data and the expressway freight volume.

[0121] Here, the ordinary highway freight data refers to acquired data (e.g., traffic flow at ordinary national and provincial highway traffic control stations). The net weight of goods transported via ordinary highways in the same time period and direction is calculated and denoted as... .

[0122] Because ordinary highway data usually only includes truck traffic. However, due to the lack of cargo weight information, it is necessary to use highway data for estimation.

[0123] A preferred method of calculation is to assume that the average load of a truck of the same type and direction on a regular road is equal to the average load of a truck on a highway.

[0124] In other feasible embodiments, an average freight weight correction factor between ordinary roads and expressways can be determined using historical sampling survey data (e.g., the average load of trucks on ordinary roads is 90% of that on expressways), and then adjusted accordingly. Alternatively, if the selected traffic control station is a multi-functional traffic control station, the total vehicle and freight weight of ordinary roads can be directly obtained, and the calculation can then proceed. The method can be adopted with calculation The same method (i.e., total vehicle and cargo weight minus vehicle weight) is used, without relying on the average cargo weight on highways.

[0125] Step S403: Add the freight volume of the expressway to the freight volume of the ordinary road to obtain the total road freight volume.

[0126] Here, will and Add them together to get .

[0127] Total road freight volume here It refers to the total volume of road freight transported across the boundary between the target area and the adjacent area in a specific time period and in a specific direction.

[0128] Step S404: Divide the expressway freight volume by the total road freight volume to obtain the proportion of expressway inter-regional freight volume between the target area and adjacent areas.

[0129] Here, calculation The preferred method for calculating the inter-regional freight volume on highways is directional, for example, the percentage of outbound freight volume on highways from region A to region B. The proportion of inter-regional freight volume on inbound highways from region B to region A These are calculated separately, and the two figures may not be equal. The proportion of inter-regional freight volume on highways should also preferably be dynamic; for example, the traffic volume for August should be calculated using data from August. value.

[0130] In one embodiment, the highway freight data includes truck model information. Step S401 includes the following steps S501-S503.

[0131] Step S501: Based on the highway boundary gantry data and truck type, determine the total weight of vehicles and cargo on the highway and the truck traffic flow on the highway.

[0132] Here, the acquired boundary gantry data is categorized by truck type. Truck types can be further divided by axle type (e.g., 2-axle, 3-axle, 4-axle, 5-axle, 6-axle, etc.).

[0133] Then, the total weight of vehicles and goods on the highway is calculated separately according to vehicle type and direction. and highway truck traffic ,in It represents a specific car model.

[0134] In other feasible embodiments, as mentioned above, the data source can also be highway traffic records (i.e., entrance and exit data), with the same calculation logic.

[0135] Step S502: Determine the total weight of highway trucks based on the highway truck traffic flow and the preset truck weights by vehicle type.

[0136] Here, truck weight is categorized by vehicle type. Refers to a specific car model The average empty weight of a truck. The tare weight of a truck by type can be a pre-set empirical value, such as determined by industry standards or historical statistics. For example, the values ​​for 2-axle, 3-axle, 4-axle, 5-axle, and 6-axle trucks are 2.01t, 6.29t, 10.63t, 13.88t, 15.87t, and 16.99t, respectively.

[0137] Will Multiply You can get the car model. Total tare weight of highway trucks.

[0138] Step S503: Subtract the total weight of the vehicles on the highway from the total weight of the highway freight to obtain the highway freight volume.

[0139] Here, for each model Calculate separately All car models Add them together to get the highway freight volume. .

[0140] In a preferred embodiment, the highway freight volume corresponding to each travel direction is calculated separately. Wherein, In the formula, for direction Freight volume of large trucks on highways for direction Total weight of the truck and its cargo for direction Highway truck traffic volume for large-scale trucks.

[0141] In one embodiment, step S402 includes steps S601-S603.

[0142] Step S601: Calculate the average freight weight on the highway based on the highway freight volume and highway truck traffic flow.

[0143] Here, the average freight weight on highways Preferably by vehicle model and direction Calculate separately.

[0144] Calculate the marginal freight volume of highways Divide by truck traffic volume to obtain the average cargo weight of different vehicle types. The calculation formula is: In the formula, direction To measure the distance from region A to the adjacent region B i Or, the adjacent region Bi is used to measure region A.

[0145] Step S602: Obtain the ordinary highway truck traffic flow from the ordinary highway freight data.

[0146] Here, the traffic data obtained from the traffic monitoring stations is summarized by direction and vehicle type for all selected traffic monitoring stations.

[0147] Step S603: Multiply the average freight weight on the expressway by the freight volume on the ordinary road to obtain the freight volume on the ordinary road.

[0148] Here, under the same direction, at the same time, and with the same vehicle type, the average net cargo weight of trucks traveling on ordinary roads and trucks traveling on highways is similar.

[0149] The truck traffic flow data from all selected traffic monitoring stations is aggregated by direction and vehicle type, multiplied by the average freight weight on highways, to calculate the traffic flow data for region A and its neighboring region B. i The volume of ordinary highway freight between [a certain point in time]. The calculation formula is: .in, for Freight volume on ordinary highways in the direction of travel. for Ordinary highway Traffic volume of large trucks.

[0150] Add the calculated highway freight volume to the ordinary road freight volume to obtain the freight volume of region A and its neighboring region B. i Total marginal freight volume between highways: .in, The total marginal freight volume of highways in region A. for Freight volume of trucks at the edge of highways.

[0151] Calculate the proportion of inter-regional freight volume on highways .

[0152] In one embodiment, when the highway freight data pertains to the area between a target region and a non-adjacent region, the inter-regional freight volume ratio is calculated by comparing highway data with ordinary road data at the physical boundary between target region A and adjacent region B. However, there is no physical boundary between target region A and non-adjacent region C, making it impossible to directly calculate an inter-regional freight volume ratio. Therefore, step S102 includes the following steps S701-S702.

[0153] Step S701: Based on highway traffic records and truck trajectory data, determine the adjacent areas passed through when entering or leaving the target area from non-adjacent areas.

[0154] Here, for each non-adjacent region C, the most frequently used channel is matched from the existing adjacent regions (B1, B2, ...).

[0155] First, highway toll records (i.e., entrance and exit toll records) are used to identify the matching requirement. For example, when processing highway toll records, an entry record is found whose entry station is in a non-adjacent region C and whose exit station is in the target region A. In this case, it is identified that a highway inter-regional freight volume percentage needs to be determined for route CA.

[0156] Secondly, truck trajectory data (preferably truck GPS trajectory data) is used to perform matching.

[0157] In a preferred embodiment, the matching method for entry channels is as follows: Historical truck trajectory data is filtered to extract all trajectories whose starting point is a non-adjacent region C and whose ending point is the target region A. The regions traversed by the trajectory points in each trip are recorded sequentially according to time. The last adjacent region (e.g., B1) preceding the target region A is set as the entry province for that trip. All trajectories of region C are iterated through, and the occurrence count of each entry province (e.g., B1, B2…) is recorded. The adjacent region with the most occurrences (e.g., B1) is set as the final matched entry province corresponding to the non-adjacent region C.

[0158] In another preferred embodiment, the method for matching outbound channels is as follows: Historical truck trajectory data is filtered to extract all trajectories whose starting point is target region A and whose ending point is a non-adjacent region C. The regions traversed by the trajectory points in each trip are recorded sequentially according to time. The first adjacent region appearing after target region A (e.g., B2) is set as the departure province for that trip. All trajectories of AC are traversed, and the frequency of occurrence of each departure province is recorded. The adjacent region with the highest frequency (e.g., B2) is set as the final matched departure province corresponding to the non-adjacent region C.

[0159] Step S702: The proportion of inter-regional freight volume on highways between the target area and adjacent areas is determined as the proportion of inter-regional freight volume on highways between the target area and non-adjacent areas.

[0160] Here, after determining the final matching adjacent region corresponding to the non-adjacent region C (e.g., B1 for entry and B2 for exit), the proportion of inter-regional freight volume of the highway in the adjacent region is used in subsequent calculations.

[0161] Specifically, when calculating the initial inbound cargo exchange volume in the CA direction, the calculated proportion of inbound highway inter-regional freight volume in the B1-A direction will be used as the proportion of inbound highway inter-regional freight volume in the CA direction.

[0162] When calculating the initial outbound freight volume in the AC direction, the calculated proportion of outbound highway inter-regional freight volume in the A-B2 direction will be used as the proportion of outbound highway inter-regional freight volume in the AC direction.

[0163] In one embodiment, step S104 includes the following steps S801-S803.

[0164] Step S801: Obtain historical truck trajectory data from historical transportation data.

[0165] Here, historical transportation data is preferably GPS trajectory data, BeiDou positioning data, or other high-frequency location data of trucks within the coverage area of ​​the target region during a historical period. Historical transportation data can accurately reflect the actual driving routes of trucks.

[0166] Step S802: Based on the preset recognition method, determine the first number of times a truck enters and exits the highway with a frequency greater than 1 and the second number of times a truck enters and exits the highway with a frequency equal to 1 in the historical truck trajectory data.

[0167] Here, the preset identification method refers to spatially and temporally matching the acquired historical truck trajectory data with the highway network data of the target area (including the location information of highway entrances and exits).

[0168] This matching method allows analysis of each complete historical truck route (e.g., a complete transit trip) and statistics on the total number of times the route enters and exits the highway within the target area.

[0169] The second count of trucks entering and exiting highways with a total count of 1 refers to the total number of trips identified as having a total count of 1 highway entry and exit among all analyzed historical routes. This typically corresponds to a single, purely transported journey (e.g., a purely inbound, purely outbound, or highway trip without stops). Here, "equal to 1" refers to a pair of highway entry and exit actions, i.e., a complete journey.

[0170] The first instance of a truck entering and exiting the highway more than once refers to the total number of trips identified as having a total number of highway entry and exit counts greater than one out of all analyzed historical trajectory trips. For example, a transit trip might involve exiting the highway for a meal or refueling, and then re-entering the highway, resulting in at least two highway entry and two highway exits.

[0171] In a preferred embodiment, the first and second counts can be performed separately for different truck models to obtain correction coefficients for different models, thereby improving the accuracy of the correction.

[0172] Step S803: Divide the first number by the second number to obtain the correction coefficient.

[0173] Here, the correction factor, also known as the expansion factor, quantifies the proportional relationship between non-pure transportation behavior (multiple entry and exit from highways) and pure transportation behavior. It characterizes what proportion of transit traffic might be incorrectly counted in the initial statistics due to this complex behavior.

[0174] The calculation formula is: in, This refers to the number of trips (more than 1) made by a type K truck entering and exiting the highway. This refers to the number of trips a truck makes when it enters and exits the highway once.

[0175] In one embodiment, step S105 includes the following steps S901-S904.

[0176] Step S901: Calculate the transit corrected freight volume based on the correction coefficient, highway freight volume, and the proportion of inter-regional freight volume on highways.

[0177] Here, the formula for calculating the additional transit freight volume required by the expansion factor method is as follows: ,in, For direction to The required amount of corrective communication needs to be increased. Indicates direction to The highway freight volume of the K-type vehicle, and They represent directions respectively. To A and direction A to The proportion of inter-regional freight volume on highways.

[0178] Step S902: Add the corrected transit cargo volume to the initial transit cargo exchange volume to obtain the corrected transit cargo exchange volume.

[0179] Specifically, the initial volume of transit cargo exchange is calculated using the following formula: ,in, For direction to The initial volume of transit cargo exchange. For direction to The volume of freight transport on highways by the K-type vehicle. and They represent directions respectively. To A and direction A to The proportion of inter-regional freight volume on highways.

[0180] The total corrected transit freight volume for region A is the sum of the increased corrected freight volume and the initial transit road freight volume, expressed as: .

[0181] Step S903: Deduct the transit cargo volume from the initial inbound cargo exchange volume and / or the initial outbound cargo exchange volume to obtain the corrected inbound cargo exchange volume and the corrected outbound cargo exchange volume.

[0182] In a preferred embodiment, the deduction is allocated proportionally: first, the inbound cargo volume in each direction (e.g., from X to A) is calculated. account for a portion of total initial inbound cargo volume The proportion.

[0183] Then, based on that ratio, from Deducting the corresponding share : .

[0184] The same proportional deduction is applied to all outbound routes (A to X).

[0185] All corrected directional quantities Adding them together yields the corrected volume of inbound cargo exchange. Similarly, the corrected outbound cargo exchange volume is obtained. .

[0186] Step S904: Add the transit cargo exchange volume, inbound cargo exchange volume, and outbound cargo exchange volume together to generate the cargo exchange volume.

[0187] Here, the final volume of cargo exchange is calculated as follows: This freight volume is the final, comprehensive, and accurate output of the calculation method, representing the total amount of road freight exchange between the target region and other regions.

[0188] In one specific embodiment, when the entry / exit region (region X) belongs to the non-adjacent region set C i At that time, based on the analysis of historical truck trajectory data, it is matched to the adjacent regions in region set B to obtain the neighboring provinces that non-adjacent regions need to pass through to enter and exit this region. The specific steps are: extract the historical truck trajectory data, and filter the trips with the origin in region A and the destination in region C. i The trajectory passes through the regions sequentially in chronological order. Regions with more than 3 trajectory points are filtered out, and the first adjacent region (province B) appearing after region A is selected.i Let B be the originating province. Iterate through all trips, record the number of trips for each originating province, and set the province with the most trips as the final matching originating province B. x Similarly, for trajectory trips where the endpoint is region A and the starting point does not belong to region set B, record the regions traversed by the trajectory points in each trip in chronological order. For regions with more than 3 trajectory points, select the last adjacent region (province B) preceding region A. j Let B be the province of entry. Iterate through all passes, record the number of passes for each province of entry, and set the province with the most passes as the final matching province of entry, B. x .

[0189] According to B x The corresponding proportion of inter-regional freight volume on highways is used to calculate the initial outbound freight exchange volume in each direction, expressed as follows: The initial volume of inbound cargo exchange is: .

[0190] in, , These represent highway freight volumes from region A to region X and from region X to region A, respectively. , These represent the proportions of inter-regional freight volume via highways from region A to region X and from region X to region A, respectively.

[0191] Considering that some of the outbound and inbound volumes calculated based on expressways are generated by transit vehicles entering and exiting expressways midway, this portion needs to be adjusted in the total outbound and inbound volumes for the region. Specifically, this is done by deducting the proportion of freight volume in each direction relative to the total inter-regional freight volume on expressways in the total outbound and inbound volumes.

[0192] The corrected outbound cargo exchange volume from region A to region X is as follows: ,in, This represents the increased freight volume after adjustments.

[0193] The revised volume of inbound cargo exchange from region X to region A is as follows: The revised outbound cargo exchange volume for region A is: The volume of inbound cargo exchange was .

[0194] This application provides a method for calculating freight exchange volume. By acquiring highway freight data and ordinary road freight data for a target region, it can comprehensively reflect the freight flow in different transportation channels within that region. Based on the total freight data, determining the proportion of highway freight volume to inter-regional freight volume within the total road freight volume quantifies the contribution of different road types to regional freight transport, thus providing a unified benchmark for subsequent cross-regional exchange volume calculations. Calculating the initial transit, inbound, and outbound freight exchange volumes based on highway freight volume and the proportion of highway inter-regional freight volume enables directional and structured analysis of inter-regional freight flows. By introducing historical transport data to determine correction coefficients, it can identify and quantify the transport characteristics of transit vehicles repeatedly entering and exiting highways within the target region, thereby correcting statistical biases caused by path segmentation. Furthermore, correcting the initial exchange volume significantly improves the accuracy and representativeness of the freight exchange volume calculation results, achieving a precise depiction of inter-regional freight flow, truly reflecting the level of regional road transport exchange, and providing a scientific basis for transportation planning, logistics layout, and macro-control.

[0195] Example 2: Figure 2 is a schematic diagram of the cargo exchange volume measurement system provided in the embodiment of this application.

[0196] Referring to Figure 2, the freight volume measurement system includes: a data acquisition module 1, used to acquire total freight data for the target area; the total freight data includes highway freight data and ordinary road freight data.

[0197] The percentage calculation module 2 is used to determine the percentage of highway freight volume in the total road freight volume based on the total freight data.

[0198] The cargo exchange volume calculation module 3 is used to calculate the initial cargo exchange volume between the target area and other areas based on the highway freight volume and the proportion of inter-regional freight volume on highways; the initial cargo exchange volume includes the initial transit cargo exchange volume, the initial inbound cargo exchange volume and the initial outbound cargo exchange volume.

[0199] The cargo exchange volume calculation module 3 is also used to determine the correction coefficient corresponding to the cargo exchange volume based on historical transportation data; the correction coefficient is used to characterize the transportation characteristics of transit vehicles in the target area.

[0200] The cargo exchange volume calculation module 3 is also used to correct the initial cargo exchange volume according to the correction coefficient to obtain the corrected cargo exchange volume.

[0201] In an optional implementation, the data acquisition module 1 is further configured to: acquire highway boundary gantry data between the target area and adjacent areas, and highway traffic records between the target area and other areas; the highway traffic records include highway entry records and highway exit records of the target area; other areas include adjacent areas and non-adjacent areas.

[0202] Based on truck identification, trajectory matching is performed on highway boundary gantry data, highway exit records, and highway entrance records to determine the corresponding transit trip sets, outbound trip sets, and inbound trip sets.

[0203] If there are corresponding highway entry and exit records within the time interval corresponding to the transit trip, delete the transit trip from the transit trip set to obtain an updated transit trip collection.

[0204] Based on the updated transit trip set, outbound trip set, and inbound trip set, highway freight data is generated.

[0205] In an optional implementation, the data acquisition module 1 is further configured to: select a traffic survey station on a regular highway between the target area and an adjacent area.

[0206] Traffic flow of ordinary highway trucks is obtained from traffic survey stations and used as ordinary highway freight data.

[0207] In an optional implementation, when the highway freight data is data between the target area and adjacent areas, the percentage calculation module 2 is further used to: calculate the highway freight volume based on the highway freight data.

[0208] The freight volume of ordinary roads is calculated based on the freight volume of ordinary roads and the freight volume of expressways.

[0209] The total road freight volume is obtained by adding the freight volume of expressways to the freight volume of ordinary roads.

[0210] Dividing the highway freight volume by the total road freight volume yields the percentage of inter-regional highway freight volume between the target region and adjacent regions.

[0211] In an optional implementation, the highway freight data includes truck type. The percentage calculation module 2 is also used to: determine the total weight of vehicles and goods on the highway and the truck traffic flow on the highway based on highway boundary gantry data and truck type.

[0212] The total weight of trucks on highways is determined based on the truck traffic flow on highways and the preset truck weights by vehicle type.

[0213] The total freight volume on the highway is obtained by subtracting the total weight of the vehicles and goods on the highway from the total weight of the vehicles and goods on the highway.

[0214] In an optional implementation, the percentage calculation module 2 is also used to: calculate the average freight weight on the highway based on the highway freight volume and the highway truck traffic flow.

[0215] Obtain the freight traffic volume of ordinary highways from the ordinary highway freight data.

[0216] Multiply the average freight weight on expressways by the freight volume on ordinary roads to obtain the freight volume on ordinary roads.

[0217] In an optional implementation, when the highway freight data is data between the target area and non-adjacent areas, the proportion calculation module 2 is also used to: determine the adjacent areas passed through when entering and leaving the target area from non-adjacent areas based on highway traffic records and truck trajectory data.

[0218] The proportion of inter-regional freight volume on highways between the target region and adjacent regions is defined as the proportion of inter-regional freight volume on highways between the target region and non-adjacent regions.

[0219] In an optional implementation, the cargo exchange volume calculation module is also used to obtain historical truck trajectory data from historical transportation data.

[0220] Based on a preset recognition method, the first number of times a truck enters and exits the highway with a frequency greater than 1 and the second number of times a truck enters and exits the highway with a frequency equal to 1 are determined from the historical truck trajectory data.

[0221] Divide the first number by the second number to obtain the correction factor.

[0222] In an optional implementation, the freight exchange volume calculation module is also used to calculate the transit corrected freight volume based on the correction factor, highway freight volume, and the proportion of inter-regional freight volume on highways.

[0223] Add the corrected transit cargo volume to the initial transit cargo exchange volume to obtain the corrected transit cargo exchange volume.

[0224] The corrected transit cargo volume is obtained by deducting the initial inbound cargo volume and / or the initial outbound cargo volume from the corrected inbound cargo volume and the corrected outbound cargo volume.

[0225] The total volume of goods exchanged is generated by adding the volume of goods exchanged in transit, the volume of goods exchanged inbound, and the volume of goods exchanged outbound.

[0226] This application provides a cargo exchange volume measurement system that can effectively integrate multi-source data such as highways, ordinary roads, and historical trajectories. The system establishes the extrapolation relationship between highway data and total freight volume through a percentage calculation module. It can not only calculate the complete initial exchange volume including transit, entry, and exit, filling the gap in traditional statistics for transit transportation, but also use historical data to determine correction coefficients to correct statistical errors caused by complex transportation scenarios such as transit vehicles repeatedly entering and exiting highways. This provides industry management departments with comprehensive, accurate data that reflects the real interaction situation.

[0227] This application embodiment also provides an electronic device, as shown in FIG3, which is a schematic diagram of the structure of the electronic device. The electronic device includes a processor 301 and a memory 302. The memory 302 stores computer-executable instructions that can be executed by the processor 301. The processor 301 executes the computer-executable instructions to implement the above-mentioned method for identifying the path to be planned.

[0228] In the embodiment shown in FIG3, the electronic device further includes a bus 303 and a communication interface 304, wherein the processor 301, the communication interface 304 and the memory 302 are connected through the bus 303.

[0229] The memory 302 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 304 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 303 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 303 can be divided into address bus, data bus, control bus, etc. For ease of illustration, only a single bidirectional arrow is used in Figure 3, but this does not indicate that there is only one bus or one type of bus.

[0230] Processor 301 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 301 or by instructions in software form. The processor 301 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in the memory. The processor 301 reads the information in the memory and, in conjunction with its hardware, completes the steps of the cargo exchange quantity calculation method of the aforementioned embodiment.

[0231] The computer program product provided in this application includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0232] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0233] Furthermore, in the description of the embodiments of this application, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0234] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0235] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0236] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of protection of the claims.

Claims

1. A method for calculating the volume of goods exchange, characterized in that, include: Obtain total freight data for the target region; The total freight data includes highway freight data and ordinary road freight data; Based on the total freight data, determine the proportion of inter-regional freight volume on expressways in the total road freight volume; Based on the highway freight volume and the proportion of inter-regional freight volume on the highway, the initial freight exchange volume between the target area and other areas is calculated; the initial freight exchange volume includes the initial transit freight exchange volume, the initial inbound freight exchange volume, and the initial outbound freight exchange volume; based on historical transportation data, a correction coefficient corresponding to the freight exchange volume is determined; the correction coefficient is used to characterize the transportation characteristics of transit vehicles within the target area. The initial cargo exchange volume is corrected according to the correction coefficient to obtain the corrected cargo exchange volume.

2. The method for calculating the volume of cargo exchange according to claim 1, characterized in that, The steps for obtaining highway freight data for the target area include: obtaining highway boundary gantry data between the target area and adjacent areas, and highway traffic records between the target area and other areas; the highway traffic records include highway entry records and highway exit records for the target area; the other areas include adjacent areas and non-adjacent areas; based on truck identifiers, performing time matching on the highway boundary gantry data, highway exit records, and highway entry records to determine the corresponding transit trip set, exit trip set, and entry trip set; if there are corresponding highway entry records and highway exit records within the time interval corresponding to a transit trip, deleting the transit trip from the transit trip set to obtain an updated transit trip set; and generating the highway freight data based on the updated transit trip set, the exit trip set, and the entry trip set.

3. The method for calculating the volume of goods exchange according to claim 1, characterized in that, The steps for obtaining ordinary highway freight data for the target area include: selecting a traffic control station on an ordinary highway between the target area and an adjacent area; and obtaining the ordinary highway freight traffic flow from the traffic control station as the ordinary highway freight data.

4. The method for calculating the volume of cargo exchange according to claim 2, characterized in that, When the highway freight data is data between the target region and the adjacent region, the step of determining the proportion of highway freight volume in the total highway freight volume based on the total freight data includes: calculating the highway freight volume based on the highway freight data; calculating the ordinary highway freight volume based on the ordinary highway freight data and the highway freight volume; adding the highway freight volume and the ordinary highway freight volume to obtain the total highway freight volume; and dividing the highway freight volume by the total highway freight volume to obtain the proportion of highway freight volume between the target region and the adjacent region.

5. The method for calculating the volume of cargo exchange according to claim 4, characterized in that, The highway freight data includes truck models; the step of calculating the highway freight volume based on the highway freight data includes: determining the total weight of highway vehicles and cargo and the highway truck traffic flow based on the highway boundary gantry data and the truck models; determining the total tare weight of highway trucks based on the highway truck traffic flow and preset truck model tare weights; and subtracting the total tare weight of highway vehicles from the total weight of highway vehicles and cargo to obtain the highway freight volume.

6. The method for calculating the volume of cargo exchange according to claim 5, characterized in that, The step of calculating the ordinary highway freight volume based on the ordinary highway freight data and the expressway freight volume includes: calculating the average freight weight of the expressway based on the expressway freight volume and the expressway truck traffic flow; obtaining the ordinary highway truck traffic flow from the ordinary highway freight data; and multiplying the average expressway freight weight by the ordinary highway truck traffic flow to obtain the ordinary highway freight volume.

7. The method for calculating the volume of cargo exchange according to claim 4, characterized in that, When the highway freight data is data between the target area and the non-adjacent area, the step of determining the proportion of highway freight volume in the total highway freight volume based on the total freight data includes: determining the adjacent areas passed through when the non-adjacent area enters or leaves the target area based on the highway traffic records and truck trajectory data; and determining the proportion of highway freight volume between the target area and the adjacent areas as the proportion of highway freight volume between the target area and the non-adjacent area.

8. The method for calculating the volume of cargo exchange according to claim 1, characterized in that, The step of determining the correction coefficient corresponding to the cargo exchange volume based on historical transportation data includes: acquiring historical truck trajectory data from the historical transportation data; determining, based on a preset identification method, the first number of times a truck enters and exits the highway with a frequency greater than 1 and the second number of times a truck enters and exits the highway with a frequency equal to 1 from the historical truck trajectory data; and dividing the first number of times by the second number of times to obtain the correction coefficient.

9. The method for calculating the volume of goods exchange according to claim 1, characterized in that, The step of correcting the initial cargo exchange volume according to the correction coefficient to obtain the corrected cargo exchange volume includes: calculating the transit corrected cargo exchange volume based on the correction coefficient, the highway freight volume, and the proportion of inter-regional freight volume on the highway; adding the transit corrected cargo exchange volume to the initial transit cargo exchange volume to obtain the corrected transit cargo exchange volume; deducting the transit corrected cargo exchange volume from the initial inbound cargo exchange volume and / or the initial outbound cargo exchange volume to obtain the corrected inbound cargo exchange volume and the corrected outbound cargo exchange volume; and adding the transit cargo exchange volume, the inbound cargo exchange volume, and the outbound cargo exchange volume to generate the cargo exchange volume.

10. A system for measuring the volume of goods exchange, characterized in that, include: The data acquisition module is used to acquire total freight data for the target region; The total freight data includes highway freight data and ordinary road freight data; The percentage calculation module is used to determine the percentage of inter-regional freight volume on highways in the total road freight volume based on the total freight data. The cargo exchange volume calculation module is used to calculate the initial cargo exchange volume between the target area and other areas based on the highway freight volume and the proportion of inter-regional freight volume on the highway; the initial cargo exchange volume includes the initial transit cargo exchange volume, the initial inbound cargo exchange volume, and the initial outbound cargo exchange volume; the cargo exchange volume calculation module is also used to determine the correction coefficient corresponding to the cargo exchange volume based on historical transportation data; the correction coefficient is used to characterize the transportation characteristics of transit vehicles in the target area; The cargo exchange volume calculation module is also used to correct the initial cargo exchange volume according to the correction coefficient to obtain the corrected cargo exchange volume.

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