CN116226598A - Road freight traffic calculation method based on vehicle property and freight attribute principle - Google Patents
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Abstract
The invention discloses a highway freight volume calculation method based on vehicle properties and a freight attribution principle, which is used for carrying out highway freight volume statistics by respectively counting the attribution freight volume completed by local business freight vehicles and the attribution freight volume completed by foreign business freight vehicles, and effectively solving the problems of distortion of the highway freight volume published by the existing statistics system and inconsistent with the real freight conditions in the area, and providing more accurate data support for formulating highway traffic planning, policy regulation, construction investment and the like.
Description
Technical Field
The invention relates to the field of transportation, in particular to a highway freight volume calculation method based on vehicle properties and freight attribute principles.
Background
Highway freight is a blood vessel of physical economic development, which dominates all transportation modes. The highway freight traffic volume not only is a core index for centralizing the development result of highway transportation, but also is an important reference for reflecting the regional economic development level, and is an important basis for traffic and transportation authorities to realize monitoring of highway freight running conditions and to formulate highway traffic planning, policy and regulation and infrastructure investment arrangement. The highway freight traffic based on the freight attribute principle (referred to as 'attribute freight traffic') comprises the freight traffic completed by all freight vehicles with loading/unloading points in the area, is highly related to the economic development level of the area, and can truly reflect the completion of highway freight transportation in the area.
At present, the highway freight traffic in China is counted according to the registered places (vehicle books) of freight vehicles, and reported to the transportation department step by county, city and province, and the counted objects are business freight vehicles. Therefore, the highway freight volume under the current highway freight statistics system only reflects the freight transportation completion condition of the registered business freight vehicles in the area, the freight volumes of partial local business freight vehicles completed in other areas are included in the local freight volume statistics, and the freight volumes of a large number of local non-business freight vehicles and foreign-origin freight vehicles completed in the area are not included in the freight volumes published by the current statistics system, so that the freight volumes published by the current statistics system have larger deviation from the real highway freight completion condition in the area.
Most of the existing highway freight traffic statistical methods and researches are based on the traditional vehicle-to-vehicle statistical methods, the accuracy of statistical data is improved by utilizing technologies such as GPS, beidou and the like and correction of key parameters, and the obtained statistical data still cannot fully reflect the actual freight transportation completion condition in the area. The implementation difficulty of part of statistical methods is high, the statistical methods are seriously dependent on single data sources such as expressway charging data, road freight special investigation data, GPS data and the like, and the statistical results are unilateral.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a highway freight traffic calculation method based on the vehicle property and the cargo attribution principle.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
a highway freight traffic calculation method based on vehicle properties and freight attribute principles comprises the following steps:
s1, acquiring data of a home cargo traffic statistical database, wherein the data comprises expressway toll collection system data, common highway intermodulation station monitoring data, manual sampling investigation data, local transportation management department data and local statistical annual-image data;
s2, calculating the local freight traffic finished by the local business freight vehicle according to the expressway charging system data, the manual sampling investigation data and the local statistics annual survey;
s3, calculating the local freight traffic finished by the local non-business freight vehicle according to the expressway charging system data, the manual sampling investigation data, the local transportation administration data and the local statistical annual-check;
s4, calculating the local freight traffic volume finished by the foreign cadastral freight vehicles according to the expressway charging system data, the manual sampling investigation data, the common highway intermodal station monitoring data and the local transportation administration data;
s5, calculating highway freight traffic based on vehicle properties and freight attribution principles according to the local freight traffic completed by the local business freight vehicle, the local freight traffic completed by the local non-business freight vehicle and the local freight traffic completed by the foreign business freight vehicle.
Further, the step S2 specifically includes the following steps:
s21, identifying local business freight vehicles running outside the area from the expressway toll collection system and extracting vehicle information of the local business freight vehicles;
s22, acquiring the average empty weight of each axle cargo vehicle running on the expressway according to manual sampling investigation, identifying empty vehicles and eliminating empty vehicle information;
s23, estimating the freight traffic of local business freight vehicles running outside the area, and extracting the freight traffic finished by all local business freight vehicles from local statistics annual notices;
s24, subtracting the estimated freight traffic of the local business freight vehicles running outside the area according to the freight traffic of all the business freight vehicles of the local business, so as to obtain the local freight traffic of the local business freight vehicles.
Further, the local business freight car in S21 extracts the vehicle information including the source-destination address and the gross weight of the car.
Further, the specific calculation method of the local freight traffic completed by the local business freight vehicle in S24 is as follows:
wherein ,Tyc All freight volumes completed for local business freight vehicles; i is the number of axles of the freight vehicle; k is the kth heavy vehicle journey of the local business freight vehicle on the expressway of other areas; n is n ci The total number of heavy vehicle trips for the local business freight vehicle on the expressway in other areas; q ik The total weight of the vehicles and goods of the kth heavy vehicle journey for the local i-axis business freight vehicle to travel on the expressway of other areas; q ei Is the average empty weight of the i-axle freight vehicle on the highway.
Further, the step S3 specifically includes the following steps:
s31, extracting license plate numbers of local business freight vehicles from local transportation authorities;
s32, respectively extracting travel information of the local business freight transportation vehicle and the local non-business freight transportation vehicle from the expressway toll collection system through license plate number comparison;
s23, acquiring average empty weight of each axle of freight vehicle according to manual sampling investigation, identifying empty vehicles and eliminating empty vehicle information;
s24, calculating average load difference coefficients of the local service business freight vehicles and the local service non-business freight vehicles;
s25, the number of local service business freight vehicles and the total number of all the local service freight vehicles are extracted from the local statistics annual notices, and the local freight traffic volume completed by the local service non-business freight vehicles is calculated according to the average load difference coefficient obtained in S24 and the occupation ratio of the local service business freight vehicles.
Further, the specific calculation method of the local freight traffic completed by the non-business freight vehicle in S24 is as follows:
wherein ,Nc The number of local business freight vehicles; n is the total number of all freight vehicles of the local books; t (T) yc All freight volumes completed for local business freight vehicles; lambda is the average load difference coefficient of local business freight vehicles and local non-business freight vehicles and
i is the number of axles of the freight vehicle; h is the h heavy vehicle travel of the local i-axis non-business freight vehicle running on the local expressway; n is n ih The total number of heavy vehicle strokes for the local i-axis non-business freight vehicle to travel on the local expressway; q ih Gross weight of the vehicle for the h heavy travel of the local i-axis non-business freight vehicle on the local highway; q ei The average empty weight of the i-axle freight vehicles on the expressway; f is the f heavy vehicle journey of the local business freight vehicle on the local expressway; n is n if The total number of heavy vehicle strokes for the local i-axis business freight vehicle to travel on the local expressway; q if Gross weight of the vehicle for the f-th heavy travel of the local i-axis commercial freight vehicle on the local highway.
Further, the step S4 specifically includes the following steps:
s41, identifying foreign cadastral freight vehicles running in the area from a highway toll collection system, and extracting gross weight and journey information of the vehicles and the cargoes;
s42, acquiring the average empty weight of each axle freight vehicle running on the expressway according to manual sampling investigation, identifying the empty vehicle and providing empty vehicle information, and estimating the local freight traffic of the foreign cadastral freight vehicle on the expressway in the area;
s43, calculating traffic volumes of foreign cadastral freight vehicles monitored by interchange stations at all cross-regional outlets of common roads with different administrative grades;
s44, calculating the freight volume finished by the foreign cadastral freight vehicles monitored by all inter-regional outlets of the common highway according to the average carrying capacity of all types of freight vehicles on the common highway by manual sampling investigation, and expanding the calculated freight volume according to the total number of inter-regional outlets of the common highway to obtain the home freight volume finished by the foreign cadastral freight vehicles on the common highway in the region.
Further, the specific calculation method of the local freight traffic volume completed by the foreign-origin freight vehicle in S44 is as follows:
T nc ＝T nce +T nco
wherein ,Tnce Home cargo volume generated for foreign-origin freight vehicles on the highway, and
wherein m is the mth heavy vehicle travel of the foreign caddy i-axis freight vehicle running on the local highway; n is n im The total number of heavy vehicle strokes of the foreign cadastral i-axis freight vehicles running on the local expressway; q im Gross weight of the truck for the mth heavy truck journey of the foreign caddy i-axis truck on the local highway; q ei The average empty weight of the i-axle freight vehicles on the expressway;
T nco the local freight volume generated for the foreign cadastral freight vehicles passing through the common highway only, and
wherein g is the administrative grade of a common highway provided with a cross-over station, and comprises four types of national roads, provinces, counties and villages; n (N) go The total number of the cross-regional outlets of the common highway with the administrative grade of g; m is M go The number of the cross-regional exits of the common highway with administrative grade g and provided with the inter-modulation stations; r is the r-th intermodulation station at the cross-regional exit of the common highway with the administrative grade g; n is n gr The total number of the cross-regional export intermodulation stations of the common highway with the administrative grade of g; j is a freight car on a common roadVehicle types, including minivans, medium vans, large vans, and oversized vans; a, a grj The traffic quantity of the j-type freight vehicles monitored by the r-th exchange station deployed on the common highway with the administrative grade of g; q oj Is the average loading capacity of the j-type freight vehicles on the common highway.
Further, in the step S5, the specific calculation method of the road freight traffic based on the vehicle property and the freight attribute principle is as follows:
T＝T c + n + nc
wherein T is the freight traffic of all roads based on the principle of goods belonging to the ground, T c Local freight traffic, T, for local business freight vehicles n Local freight traffic, T, for local non-business freight vehicles nc The local freight traffic for foreign cadastral freight vehicles.
The invention has the following beneficial effects:
the invention provides a new thought of highway freight traffic statistics and a new method for calculating from the view angles of vehicle properties and goods belonging to the field, effectively solves the problems of highway freight traffic distortion published by the existing statistics system and inconsistent with the actual freight conditions in the area, and provides more accurate data support for formulating highway traffic planning, policy and regulation, construction investment and the like. The road local freight volume calculated by the invention comprises the freight volume of local nationality freight vehicles and non-business freight vehicles in the local area, and the freight volume of foreign nationality freight vehicles in the local area, and the freight volume of local nationality freight vehicles in other areas is removed, so that the obtained result reflects the road freight completion condition in the area more truly, and the regional economic development level is reflected more accurately. Meanwhile, the database related by the invention has wide sources and is easy to obtain, so that the statistical calculation method has high accuracy and is easy to implement.
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FIG. 1 is a schematic flow chart of a highway freight traffic calculation method based on the principle of vehicle properties and freight attributes.
Fig. 2 is a schematic diagram of a local freight volume statistics process performed by a local business freight vehicle according to an embodiment of the present invention.
FIG. 3 is a schematic diagram of a local freight volume statistics process performed locally by a non-business freight vehicle according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a flow chart of the home cargo volume statistics performed by an off-the-shelf freight vehicle in accordance with an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
A highway freight traffic calculation method based on the principle of vehicle properties and freight attributes, as shown in figure 1, comprises the following steps:
s1, acquiring data of a home cargo traffic statistical database, wherein the data comprises expressway toll collection system data, common highway intermodulation station monitoring data, manual sampling investigation data, local transportation management department data and local statistical annual-image data;
the database required for completing the local freight traffic statistics is as follows:
the highway toll collection system data comprises toll station information and time for passing the freight vehicles into and out of the highway, the axle number of the freight vehicles, license plate numbers, gross weight of the freight vehicles and driving distance of each transportation route and the like, and all the freight vehicles driving on the highway are classified into 5 types, namely 2-axle trucks, 3-axle trucks, 4-axle trucks, 5-axle trucks and 6-axle trucks according to the axle number of the freight vehicles.
The common highway interchange monitoring data comprise types and traffic volumes of freight vehicles passing through the interchange observation range, and all freight vehicles on a common highway are classified into four types, namely small-sized trucks, medium-sized trucks, large-sized trucks and oversized trucks according to types.
And (3) manually sampling and investigating data, namely sampling the past freight vehicles on the expressway and the common highway respectively, and mainly recording the axle number, empty weight, commodity type, license plate number and origin-destination location of the freight vehicles on the expressway and mainly recording the type, cargo capacity, commodity type, license plate number and origin-destination location of the freight vehicles on the common highway.
And local transportation authorities data, such as license plate numbers of local business freight vehicles, road mileage of different administrative grades in the area, and monitoring roads and observation mileage of each exchange station.
And local statistics annual-bill data, namely the total number of local home freight vehicles, the number of local home business freight vehicles and all freight traffic generated by the local home business freight vehicles.
Road freight traffic based on the principle of cargo attribution includes three types: the local cargo volume completed by the local business freight vehicle, the local cargo volume completed by the local non-business freight vehicle and the local cargo volume completed by the foreign business freight vehicle are described one by one later.
S2, calculating the local freight traffic finished by the local business freight vehicle according to the expressway charging system data, the manual sampling investigation data and the local statistics annual survey;
in this embodiment, as shown in fig. 2, the method includes the following steps:
s21, identifying local business freight vehicles running outside the area from the expressway toll collection system and extracting vehicle information of the local business freight vehicles;
s22, acquiring the average empty weight of each axle cargo vehicle running on the expressway according to manual sampling investigation, identifying empty vehicles and eliminating empty vehicle information;
s23, estimating the freight traffic of local business freight vehicles running outside the area and extracting the freight traffic finished by all local business freight vehicles from the local statistical annual survey;
s24, subtracting the estimated freight traffic of the local business freight vehicles running outside the area according to the freight traffic of all the business freight vehicles of the local business, so as to obtain the local freight traffic of the local business freight vehicles.
Through investigation and interview, we found that local business freight car table was foundIt is not always driven on the common highways in other areas, and usually passes through the expressway. In this case, we can estimate the volume of freight generated by local business freight vehicles in other areas based on the highway toll system. In addition, all shipments completed by local business freight vehicles can be obtained directly from local statistical yearbooks. Thus, local cargo traffic T accomplished by local business freight vehicles c The estimation model of (2) is
in the formula ,Tyc All freight volumes completed for local business freight vehicles; i is the axle number of the freight vehicle (generally divided into 5 categories: 2 axle truck, 3 axle truck, 4 axle truck, 5 axle truck, 6 axle truck); k is the kth heavy vehicle journey of the local business freight vehicle on the expressway of other areas; n is n ci The total number of heavy vehicle trips for the local business freight vehicle on the expressway in other areas; q ik The total weight of the vehicles and goods of the kth heavy vehicle journey for the local i-axis business freight vehicle to travel on the expressway of other areas; q ei Is the average empty weight of the i-axle freight vehicle on the highway.
S3, calculating the local freight traffic finished by the local non-business freight vehicle according to the expressway charging system data, the manual sampling investigation data, the local transportation administration data and the local statistical annual-check;
in this embodiment, as shown in fig. 3, the method includes the following steps;
s31, extracting license plate numbers of local business freight vehicles from local transportation authorities;
s32, respectively extracting travel information of the local business freight transportation vehicle and the local non-business freight transportation vehicle from the expressway toll collection system through license plate number comparison;
s23, acquiring average empty weight of each axle of freight vehicle according to manual sampling investigation, identifying empty vehicles and eliminating empty vehicle information;
s24, calculating average load difference coefficients of the local service business freight vehicles and the local service non-business freight vehicles;
s25, the number of local service business freight vehicles and the total number of all the local service freight vehicles are extracted from the local statistics annual notices, and the local freight traffic volume completed by the local service non-business freight vehicles is calculated according to the average load difference coefficient obtained in S24 and the occupation ratio of the local service business freight vehicles.
Typically, non-business freight vehicles are almost exclusively engaged in short haul local transportation, and all transportation activities are closely related to local economic development, so that the volume of freight completed by local non-business freight vehicles is considered to be the local volume of freight. Local cargo volume T completed by the local non-business freight vehicle n The estimation model of (2) is
in the formula ,Nc The number of local business freight vehicles; n is the total number of all freight vehicles of the local books; t (T) yc All freight volumes completed for local business freight vehicles; lambda is the average load difference coefficient of the local business freight car and the local non-business freight car, and can be calculated by the following formula:
wherein; i is the axle number of the freight vehicle (generally divided into 5 categories: 2 axle truck, 3 axle truck, 4 axle truck, 5 axle truck, 6 axle truck); h is the h heavy vehicle travel of the local i-axis non-business freight vehicle running on the local expressway; n is n ih The total number of heavy vehicle strokes for the local i-axis non-business freight vehicle to travel on the local expressway; q i h is the gross weight of the vehicle and cargo of the h heavy vehicle travel of the local i-axis non-business freight vehicle on the local expressway; q ei Is at a high speedAverage empty weight of i-axle freight vehicles on the road; f is the f heavy vehicle journey of the local business freight vehicle on the local expressway; n is n if The total number of heavy vehicle strokes for the local i-axis business freight vehicle to travel on the local expressway; q if Gross weight of the vehicle for the f-th heavy journey of a local i-axis commercial freight vehicle on a local highway
S4, calculating the local freight traffic volume finished by the foreign cadastral freight vehicles according to the expressway charging system data, the manual sampling investigation data, the common highway intermodal station monitoring data and the local transportation administration data;
in this embodiment, as shown in fig. 4, the method includes the following steps:
s41, identifying foreign cadastral freight vehicles running in the area from a highway toll collection system, and extracting gross weight and journey information of the vehicles and the cargoes;
s42, acquiring the average empty weight of each axle freight vehicle running on the expressway according to manual sampling investigation, identifying the empty vehicle and providing empty vehicle information, and estimating the local freight traffic of the foreign cadastral freight vehicle on the expressway in the area;
s43, calculating traffic volumes of foreign cadastral freight vehicles monitored by interchange stations at all cross-regional outlets of common roads with different administrative grades;
s44, calculating the freight volume finished by the foreign cadastral freight vehicles monitored by all inter-regional outlets of the common highway according to the average carrying capacity of all types of freight vehicles on the common highway by manual sampling investigation, and expanding the calculated freight volume according to the total number of inter-regional outlets of the common highway to obtain the home freight volume finished by the foreign cadastral freight vehicles on the common road in the region.
The local cargo traffic of the foreign-origin cargo vehicles can be divided into two types, namely, the local cargo traffic generated by the foreign-origin cargo vehicles passing through the expressway and the local cargo traffic generated by the foreign-origin cargo vehicles not passing through the expressway (only running on the ordinary highway). That is, a foreign cadastral transport route passes through both the expressway and the ordinary roadThe generated home cargo volume is included in the category of home cargo volume generated by foreign cadastral freight vehicles passing through the expressway. Thus, the local freight traffic T completed by the foreign cadastral freight vehicle nc Can be expressed as
T nc ＝T nce +T nco
in the formula ,Tnce Home cargo volume, T, generated for routing off-highway cadastral cargo vehicles nco The local freight volume generated for foreign cadastral freight vehicles passing only ordinary roads.
Wherein, the calculation formula of the local freight traffic volume generated by the foreign cadastral freight vehicles on the expressway is as follows
Wherein m is the mth heavy vehicle travel of the foreign caddy i-axis freight vehicle running on the local highway; n is n im The total number of heavy vehicle strokes of the foreign cadastral i-axis freight vehicles running on the local expressway; q im Gross weight of the truck for the mth heavy truck journey of the foreign caddy i-axis truck on the local highway; q ei Is the average empty weight of the i-axle freight vehicle on the highway.
Also, by investigation and interview, we have found that foreign-nationality freight vehicles hardly travel all the way on ordinary roads in the local area, typically engaging in trans-regional transportation. In this case, we can estimate the local freight volume generated by foreign-nationality freight vehicles on the ordinary highway based on the truck journey of the trans-regional transportation. In addition, not all the common highways of the local area boundary are provided with intermodulation stations, and the freight traffic generated in the observation range of the intermodulation stations is spread according to the number of transregional outlets of the common roads, so that the freight traffic of all the belonging areas generated by the cadastral freight vehicles on and off the common highways is obtained. Unlike highway toll systems, traffic stations only recognize the traffic volume of different types of freight vehicles and not the gross weight of the vehicle. We need to obtain the average load of each type of freight vehicle by manual sampling investigation.
Therefore, the calculation formula of the local freight volume generated by the foreign cadastral freight vehicle on the common highway is
Wherein g is the administrative grade of a common highway provided with a cross station, and comprises four types of national roads, provinces, counties and villages; n (N) go The total number of the cross-regional outlets of the common highway with the administrative grade of g; m is M go The number of the cross-regional exits of the common highway with administrative grade g and provided with the inter-modulation stations; r is the r-th intermodulation station at the cross-regional exit of the common highway with the administrative grade g; n is n gr The total number of the cross-regional export intermodulation stations of the common highway with the administrative grade of g; j is the type of freight vehicles on common roads, including minivans, medium vans, large vans and oversized vans; a, a grj The traffic quantity of the j-type freight vehicles monitored by the r-th exchange station deployed on the common highway with the administrative grade of g; q oj Is the average loading capacity of the j-type freight vehicles on the common highway.
S5, calculating highway freight traffic based on vehicle properties and freight attribution principles according to the local freight traffic completed by the local business freight vehicle, the local freight traffic completed by the local non-business freight vehicle and the local freight traffic completed by the foreign business freight vehicle.
To sum up, the calculation formula of the highway freight traffic based on the freight attribute principle in this embodiment is as follows
T＝T c + n + nc
Wherein T is the freight traffic of all roads based on the principle of goods belonging to the ground, T c Local freight traffic, T, for local business freight vehicles n Local freight traffic, T, for local non-business freight vehicles nc The local freight traffic for foreign cadastral freight vehicles.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Those of ordinary skill in the art will recognize that the embodiments described herein are for the purpose of aiding the reader in understanding the principles of the present invention and should be understood that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (9)
1. A highway freight traffic calculation method based on the vehicle property and the freight attribute principle is characterized by comprising the following steps:
s1, acquiring data of a home cargo traffic statistical database, wherein the data comprises expressway toll collection system data, common highway intermodulation station monitoring data, manual sampling investigation data, local transportation management department data and local statistical annual-image data;
s2, calculating the local freight traffic finished by the local business freight vehicle according to the expressway charging system data, the manual sampling investigation data and the local statistics annual survey;
s3, calculating the local freight traffic finished by the local non-business freight vehicle according to the expressway charging system data, the manual sampling investigation data, the local transportation administration data and the local statistical annual-check;
s4, calculating the local freight traffic volume finished by the foreign cadastral freight vehicles according to the expressway charging system data, the manual sampling investigation data, the common highway intermodal station monitoring data and the local transportation administration data;
s5, calculating highway freight traffic based on vehicle properties and freight attribution principles according to the local freight traffic completed by the local business freight vehicle, the local freight traffic completed by the local non-business freight vehicle and the local freight traffic completed by the foreign business freight vehicle.
2. The method for calculating the highway freight traffic based on the principle of vehicle property and freight attribute according to claim 1, wherein the step S2 specifically comprises the following steps:
s21, identifying local business freight vehicles running outside the area from the expressway toll collection system and extracting vehicle information of the local business freight vehicles;
s22, acquiring the average empty weight of each axle cargo vehicle running on the expressway according to manual sampling investigation, identifying empty vehicles and eliminating empty vehicle information;
s23, estimating the freight traffic of local business freight vehicles running outside the area, and extracting the freight traffic finished by all local business freight vehicles from local statistics annual notices;
s24, subtracting the estimated freight traffic of the local business freight vehicles running outside the area according to the freight traffic of all the business freight vehicles of the local business, so as to obtain the local freight traffic of the local business freight vehicles.
3. The method according to claim 2, wherein the local service freight car in S21 extracts the vehicle information including the source address of the vehicle and the gross weight of the vehicle.
4. The method for calculating the cargo capacity of a highway based on the principles of nature and attribute of cargo as defined in claim 2, wherein the specific calculation mode of the cargo capacity of an attribute of cargo performed by a local business freight vehicle in S24 is as follows:
wherein ,Tyc All freight volumes completed for local business freight vehicles; i is the number of axles of the freight vehicle; k is the kth heavy vehicle journey of the local business freight vehicle on the expressway of other areas; n is n ci The total number of heavy vehicle trips for the local business freight vehicle on the expressway in other areas; q ik The total weight of the vehicles and goods of the kth heavy vehicle journey for the local i-axis business freight vehicle to travel on the expressway of other areas; q ei Is the average empty weight of the i-axle freight vehicle on the highway.
5. The method for calculating the highway freight traffic based on the principle of vehicle property and freight attribute according to claim 1, wherein the step S3 specifically comprises the following steps:
s31, extracting license plate numbers of local business freight vehicles from local transportation authorities;
s32, respectively extracting travel information of the local business freight transportation vehicle and the local non-business freight transportation vehicle from the expressway toll collection system through license plate number comparison;
s23, acquiring average empty weight of each axle of freight vehicle according to manual sampling investigation, identifying empty vehicles and eliminating empty vehicle information;
s24, calculating average load difference coefficients of the local service business freight vehicles and the local service non-business freight vehicles;
s25, the number of local service business freight vehicles and the total number of all the local service freight vehicles are extracted from the local statistics annual notices, and the local freight traffic volume completed by the local service non-business freight vehicles is calculated according to the average load difference coefficient obtained in S24 and the occupation ratio of the local service business freight vehicles.
6. The method for calculating the cargo capacity of a highway based on the principles of vehicle nature and cargo area according to claim 5, wherein the specific calculation mode of the cargo capacity of the area performed by the non-business freight vehicle in S24 is as follows:
wherein ,Nc The number of local business freight vehicles; n is the total number of all freight vehicles of the local books; t (T) yc All freight volumes completed for local business freight vehicles; lambda is the average load difference coefficient of local business freight vehicles and local non-business freight vehicles and
the number of axles for the freight vehicle; h is the h heavy vehicle travel of the local i-axis non-business freight vehicle running on the local expressway; n is n ih The total number of heavy vehicle strokes for the local i-axis non-business freight vehicle to travel on the local expressway; q ih Gross weight of the vehicle for the h heavy travel of the local i-axis non-business freight vehicle on the local highway; q ei The average empty weight of the i-axle freight vehicles on the expressway; f is the f heavy vehicle journey of the local business freight vehicle on the local expressway; n is n if The total number of heavy vehicle strokes for the local i-axis business freight vehicle to travel on the local expressway; q if Gross weight of the vehicle for the f-th heavy travel of the local i-axis commercial freight vehicle on the local highway.
7. The method for calculating the highway freight traffic based on the principle of vehicle property and freight attribute according to claim 1, wherein the step S4 specifically comprises the following steps:
s41, identifying foreign cadastral freight vehicles running in the area from a highway toll collection system, and extracting gross weight and journey information of the vehicles and the cargoes;
s42, acquiring the average empty weight of each axle freight vehicle running on the expressway according to manual sampling investigation, identifying the empty vehicle and providing empty vehicle information, and estimating the local freight traffic of the foreign cadastral freight vehicle on the expressway in the area;
s43, calculating traffic volumes of foreign cadastral freight vehicles monitored by interchange stations at all cross-regional outlets of common roads with different administrative grades;
s44, calculating the freight volume finished by the foreign cadastral freight vehicles monitored by all inter-regional outlets of the common highway according to the average carrying capacity of all types of freight vehicles on the common highway by manual sampling investigation, and expanding the calculated freight volume according to the total number of inter-regional outlets of the common highway to obtain the home freight volume finished by the foreign cadastral freight vehicles on the common highway in the region.
8. The method for calculating the cargo capacity of a highway based on the principles of vehicle nature and cargo attribution according to claim 7, wherein the specific calculation mode of the cargo capacity of the attribution by the foreign-origin cargo vehicle in S44 is as follows:
T nc ＝T nce +T nco
wherein ,Tnce Home cargo volume generated for foreign-origin freight vehicles on the highway, and
wherein m is the mth heavy vehicle travel of the foreign caddy i-axis freight vehicle running on the local highway; n is n im The total number of heavy vehicle strokes of the foreign cadastral i-axis freight vehicles running on the local expressway; q im Gross weight of the truck for the mth heavy truck journey of the foreign caddy i-axis truck on the local highway; q ei The average empty weight of the i-axle freight vehicles on the expressway;
T nco the local freight volume generated for the foreign cadastral freight vehicles passing through the common highway only, and
wherein g is the administrative grade of a common highway provided with a cross-over station, and comprises four types of national roads, provinces, counties and villages; n (N) go The total number of the cross-regional outlets of the common highway with the administrative grade of g; m is M go The number of the cross-regional exits of the common highway with administrative grade g and provided with the inter-modulation stations; r is the r-th intermodulation station at the cross-regional exit of the common highway with the administrative grade g; n is n gr The total number of the cross-regional export intermodulation stations of the common highway with the administrative grade of g; j is the type of freight vehicles on common roads, including minivans, medium vans, large vans and oversized vans; a, a grj The traffic quantity of the j-type freight vehicles monitored by the r-th exchange station deployed on the common highway with the administrative grade of g; q oj Is the average loading capacity of the j-type freight vehicles on the common highway.
9. The method for calculating the highway freight traffic based on the vehicle property and the freight attribute principle according to claim 1, wherein the specific calculation mode of the highway freight traffic based on the vehicle property and the freight attribute principle in S5 is as follows:
T＝T c +T n +T nc
wherein T is the freight traffic of all roads based on the principle of goods belonging to the ground, T c Local freight traffic, T, for local business freight vehicles n Local freight traffic, T, for local non-business freight vehicles nc The local freight traffic for foreign cadastral freight vehicles.
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