A data processing system for obtaining a missing rate of a vehicle collection device

Abstract

This invention provides a data processing system for obtaining the missed sampling rate of vehicle data collection devices. The system includes: a list of vehicle data collection device types corresponding to a target geographical area, a list of preset time periods, a processor, and a memory storing a computer program. When the computer program is executed by the processor, it performs the following steps: obtaining a first list of device deployment areas; obtaining a first list of traffic flow; obtaining a list of preset traffic flow intervals; obtaining a second list of device deployment areas; and obtaining a list of first vehicle data collection device missed sampling rates corresponding to the list of vehicle data collection device types. This invention can analyze the first traffic flow and preset time periods corresponding to the first deployment area to obtain the first vehicle data collection device missed sampling rate for vehicle data collection devices of different types within different preset time periods and different traffic flow ranges on roads, thus improving the accuracy of obtaining the vehicle data collection device missed sampling rate.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a data processing system for obtaining the missed sampling rate of vehicle data collection equipment. Background Technology

[0002] With rapid social development, the number of roads in cities has increased dramatically, as has the number of vehicles on those roads. Users often struggle to determine the number of vehicles entering and leaving a given area. Deploying devices at intersections that collect vehicle IDs and related information (vehicle data collection devices) allows for the identification of duplicate vehicle IDs entering or leaving the area. The total number of vehicle IDs obtained is the number of vehicles entering or leaving the area. During deployment, the missed data collection rate and resource consumption of these devices are analyzed to determine their installation location. Current methods for obtaining the missed data collection rate often involve retrieving and analyzing relevant literature on vehicle data collection devices, and then manually determining the missed data collection rate.

[0003] However, the above method also has the following technical problems:

[0004] In obtaining the missed rate of vehicle data collection equipment, the manual determination method is uncontrollable, and the missed rate of vehicle data collection equipment may also vary depending on the traffic flow or number of vehicles on the road. The manual determination method cannot take into account factors such as the number of vehicles on the road. Therefore, the accuracy of the missed rate of vehicle data collection equipment obtained by the above method is low. Summary of the Invention

[0005] To address the aforementioned technical problems, the technical solution adopted by this invention is as follows:

[0006] A data processing system for obtaining the missed sampling rate of vehicle data collection devices includes: a list A = {A1, ..., A2} of vehicle data collection device types corresponding to a target geographical area. i , ..., A m}, Preset time period list B = {B1, ..., B j , ..., B n}, processor and memory storing computer programs, wherein A i Let B be the i-th vehicle data acquisition device type corresponding to the target geographic region, i = 1...m, where m is the number of vehicle data acquisition device types corresponding to the target geographic region. Each vehicle data acquisition device type corresponds to one vehicle data acquisition device. j For the j-th preset time period, j = 1...n, where n is the number of preset time periods, when the computer program is executed by the processor, the following steps are implemented:

[0007] S100. Obtain the first device deployment area list C = {C1, ..., C2} corresponding to the target geographic area. r , ..., C s}, C r Let r be the r-th first device deployment area corresponding to the target geographic area, where r = 1...s, and s is the number of first device deployment areas corresponding to the target geographic area. The first device deployment area is an area within the target geographic area where at least two types of vehicle data collection devices are installed.

[0008] S200. Based on C and B, obtain the first traffic flow list D = {D1, ..., D2} corresponding to C. r , ..., D s}, D r ={D r1 , ..., D rj , ..., D rn}, D rj For B j C r The corresponding first traffic flow is the traffic flow in the direction of travel corresponding to the equipment deployment area at the intersection where the equipment deployment area is located.

[0009] S300. Obtain the preset flow range list E = {E1, ..., E2} corresponding to B. j , ..., E n}, E j ={E j1 , ..., E jk , ..., E jt(j)}, E jk =[E 1 jk E 2 jk ], E 1 jk For B j The lower limit value of the corresponding k-th preset flow range, E 2 jk For B j The upper limit of the corresponding k-th preset flow interval, k = 1...t(j), where t(j) is B. j The corresponding number of preset traffic ranges.

[0010] S400, when D rj ∈[E 1 jk E 2 jk When, C r As B jThe corresponding second device deployment area in the k-th second device deployment area list is used to obtain the second device deployment area list F = {F1, ..., F2}. j , ..., F n}, F j ={F j1 , ..., F jk , ..., F jt(j)}, F jk ={F 1 jk , ..., F g jk , ..., F h jk}, F g jk For B j The corresponding second device deployment area in the k-th second device deployment area list is the g-th second device deployment area, where g = 1...h, and h is the number of second device deployment areas in the second device deployment area list.

[0011] S500. Based on A and F, obtain the list of missed sampling rates of the first vehicle data collection device corresponding to A, G = {G1, ..., G...} i , ..., G m}, G i ={G i1 , ..., G ij , ..., G in}, G ij ={G 1 ij , ..., G k ij , ..., G t(j) ij}, G k ij For A i The corresponding vehicle data collection equipment is in B j And its corresponding second traffic flow belongs to [E] 1 jk E 2 jk The first vehicle data collection device miss rate is the second traffic flow rate, which is the traffic flow rate in the direction of travel of the vehicle ID corresponding to the vehicle collected by the vehicle data collection device at the intersection where the vehicle data collection device is located.

[0012] The present invention has at least the following beneficial effects:

[0013] This invention provides a data processing system for obtaining the missed sampling rate of vehicle data collection devices. The system includes: a list of vehicle data collection device types corresponding to a target geographical area, a list of preset time periods, a processor, and a memory storing a computer program. When the computer program is executed by the processor, the system performs the following steps: obtaining a first list of device deployment areas corresponding to the target geographical area; obtaining a first traffic flow list corresponding to the first device deployment area list based on the first device deployment area list and the preset time period list; obtaining a preset traffic flow interval list corresponding to the preset time period list; obtaining a second list of device deployment areas based on the first traffic flow list and the preset traffic flow interval list; and obtaining a first list of vehicle data collection device missed sampling rates corresponding to the vehicle data collection device types based on the vehicle data collection device type list and the second device deployment area list. This invention can obtain the first device deployment area and the first traffic flow, analyze the first traffic flow and preset time period corresponding to the first deployment area to obtain the second device deployment area list, analyze the vehicle data collection device types and the second device deployment area, and obtain the first vehicle data collection device missed sampling rate corresponding to the vehicle data collection device type in different preset time periods and different traffic flow ranges on roads, which helps improve the accuracy of obtaining the vehicle data collection device missed sampling rate. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a flowchart of a computer program executing a data processing system for obtaining the missed sampling rate of a vehicle data acquisition device, provided as an embodiment of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Embodiments of the present invention provide a data processing system for obtaining the missed sampling rate of vehicle data collection devices, comprising: a list A = {A1, ..., A...} of vehicle data collection device types corresponding to a target geographical area. i , ..., A m}, Preset time period list B = {B1, ..., B j, ..., B n}, processor and memory storing computer programs, wherein A i Let B be the i-th vehicle data acquisition device type corresponding to the target geographic region, i = 1...m, where m is the number of vehicle data acquisition device types corresponding to the target geographic region. Each vehicle data acquisition device type corresponds to one vehicle data acquisition device. j For the j-th preset time period, j = 1...n, where n is the number of preset time periods, when the computer program is executed by the processor, the following steps are implemented, such as... Figure 1 As shown:

[0018] S100. Obtain the first device deployment area list C = {C1, ..., C2} corresponding to the target geographic area. r , ..., C s}, C r Let r be the r-th first device deployment area corresponding to the target geographical area, where r = 1...s, and s is the number of first device deployment areas corresponding to the target geographical area. The first device deployment area is an area within the target geographical area where vehicle collection devices of at least two types are installed. As those skilled in the art know, the target geographical area is a geographical area set by those skilled in the art according to actual needs. Any area in the prior art where vehicle collection devices of at least two types are installed is within the protection scope of this invention, and will not be elaborated further here.

[0019] Specifically, the vehicle data collection device type refers to the type of vehicle data collection device, which is a device capable of collecting vehicle IDs within the target geographical area.

[0020] Furthermore, the vehicle ID is a unique identifier for a vehicle, which can be understood as a license plate number.

[0021] Specifically, the resources consumed by the vehicle data collection equipment are different for each type of vehicle data collection equipment.

[0022] Specifically, the vehicles whose vehicle IDs are collected by vehicle collection devices installed in the same first equipment deployment area all have the same direction of travel.

[0023] Furthermore, the first device deployment area is located at any intersection within the target geographical area.

[0024] Specifically, each first device deployment area corresponds to a driving direction, and the driving direction corresponding to the first device deployment area is the same as the driving direction of the vehicle corresponding to the vehicle ID collected by the vehicle collection device in the first device deployment area.

[0025] S120, when C r A is installed inside iWhen using the corresponding vehicle data collection equipment, C r As A i The corresponding first intermediate device deployment area is used to obtain the list of first intermediate device deployment areas Q = {Q1, ..., Q} for A. i Q m}, Q i ={Q i1 Q ix Q ip}, Q ix For A i The xth first intermediate device deployment area in the corresponding first intermediate device deployment area list, x = 1...p, where p is the number of first intermediate device deployment areas in the first intermediate device deployment area list.

[0026] S140. Based on Q and A, obtain the first intermediate vehicle quantity list U = {U1, ..., U...} corresponding to A. i , ..., U m}, U i ={U i1 , ..., U ix , ..., U ip}, U ix For installation in Q ix A in i The corresponding number of intermediate vehicles is the number of vehicle IDs collected by the vehicle collection device installed in the deployment area of ​​the first intermediate device.

[0027] S160. Based on Q, obtain the second intermediate vehicle quantity list V = {V1, ..., V2} corresponding to Q. i , ..., V m}, V i ={V i1 , ..., V ix , ..., V ip}, V ix For Q ix The corresponding second intermediate vehicle number is the number of vehicle IDs obtained after deduplicating all vehicle IDs collected by all vehicle collection devices installed in the deployment area of ​​the first intermediate device. As those skilled in the art know, any deduplication method in the prior art is within the protection scope of this invention, and will not be elaborated here.

[0028] S180, according to U ix and V ix Obtain the list of missed sampling rates of the second vehicle data collection device corresponding to A, W = {W1, ..., W...} i , ..., W m}, W i For Ai The corresponding missed sampling rate of the second vehicle data collection device, where W i Meets the following conditions:

[0029] W i =1-Σ p x＝1 (U ix / V ix ) / p.

[0030] The above-mentioned method analyzes and processes the number of vehicle IDs collected by the vehicle collection devices in the first intermediate device deployment area to obtain the first intermediate vehicle quantity and the second intermediate vehicle quantity corresponding to the first intermediate device deployment area. The first intermediate vehicle quantity and the second intermediate vehicle quantity are then processed to obtain the second vehicle missed rate of the vehicle collection device corresponding to the vehicle collection device type, which helps to improve the accuracy of obtaining the vehicle collection device missed rate.

[0031] Specifically, the present invention also provides an embodiment that differs from the above embodiment in that, after step S100, it further includes the following step to obtain the missed sampling rate of the vehicle data collection device:

[0032] S200. Based on C and B, obtain the first traffic flow list D = {D1, ..., D2} corresponding to C. r , ..., D s}, D r ={D r1 , ..., D rj , ..., D rn}, D rj For B j C r The corresponding first traffic flow is the traffic flow in the direction of travel corresponding to the equipment deployment area at the intersection where the equipment deployment area is located. As those skilled in the art know, the preset time period list is a list that is pre-set by those skilled in the art according to actual needs. Any method in the prior art for obtaining the traffic flow in a direction of travel at an intersection within a time period is within the protection scope of this invention, and will not be described in detail here.

[0033] S300. Obtain the preset flow range list E = {E1, ..., E2} corresponding to B. j , ..., E n}, E j ={E j1 , ..., E jk , ..., E jt(j)}, E jk =[E 1 jk E 2 jk], E 1 jk For B j The lower limit value of the corresponding k-th preset flow range, E 2 jk For B j The upper limit of the corresponding k-th preset flow interval, k = 1...t(j), where t(j) is B. j The corresponding number of preset traffic ranges, wherein, as those skilled in the art know, the list of preset traffic ranges is a list that is pre-set by those skilled in the art according to actual needs, and will not be described in detail here.

[0034] S400, when D rj ∈[E 1 jk E 2 jk When, C r As B j The corresponding second device deployment area in the k-th second device deployment area list is used to obtain the second device deployment area list F = {F1, ..., F2}. j , ..., F n}, F j ={F j1 , ..., F jk , ..., F jt(j)}, F jk ={F 1 jk , ..., F g jk , ..., F h jk}, F g jk For B j The corresponding second device deployment area in the k-th second device deployment area list is the g-th second device deployment area, where g = 1...h, and h is the number of second device deployment areas in the second device deployment area list.

[0035] S500. Based on A and F, obtain the list of missed sampling rates of the first vehicle data collection device corresponding to A, G = {G1, ..., G...} i , ..., G m}, G i ={G i1 , ..., G ij , ..., G in}, G ij ={G 1 ij , ..., G k ij , ..., G t(j) ij}, G kij For A i The corresponding vehicle data collection equipment is in B j And its corresponding second traffic flow belongs to [E] 1 jk E 2 jk The first vehicle data collection device miss rate is the second traffic flow rate, which is the traffic flow rate in the direction of travel of the vehicle ID corresponding to the vehicle collected by the vehicle data collection device at the intersection where the vehicle data collection device is located.

[0036] Specifically, the S500 procedure includes the following steps:

[0037] S501, when F g jk A is installed inside i When using the corresponding vehicle data collection equipment, F g jk As B j China A i The corresponding third device deployment area in the k-th third device deployment area list, to obtain B j China A i The corresponding third-party device deployment area list H ij ={H 1 ij H k ij H t(j) ij}, H k ij ={H k1 ij H ke ij H kf ij}, H ke ij For B j China A i The corresponding third device deployment area is the e-th third device deployment area in the k-th third device deployment area list, where e = 1...f, and f is B. j China A i The number of third device deployment areas in the corresponding k-th third device deployment area list.

[0038] S503, according to H ke ij and A i , obtain installed in H ke ij A in i The corresponding number of first vehicle IDs R ke ijThe first vehicle ID count is the number of vehicle IDs collected by the vehicle collection device installed in the third device deployment area. As those skilled in the art know, any method for obtaining the number of vehicle IDs collected by the vehicle collection device in the prior art is within the protection scope of this invention, and will not be elaborated here.

[0039] S505, according to H ke ij Get H ke ij The corresponding number of second vehicle IDs L ke ij The second vehicle ID count is the number of vehicle IDs obtained after deduplicating all vehicle IDs collected by all vehicle collection devices installed in the third equipment deployment area. As those skilled in the art know, any deduplication method in the prior art is within the protection scope of this invention, and will not be elaborated here.

[0040] S507, according to R ke ij and L ke ij , obtain P k ij P k ij For A i The corresponding vehicle data collection equipment is in B j And its corresponding second traffic flow belongs to [E] 1 jk E 2 jk The first vehicle data collection device collection rate, where P k ij Meets the following conditions:

[0041] P k ij =Σ f e＝1 (R ke ij / L ke ij ) / f.

[0042] S509, according to P k ij Get G k ij Among them, G k ij Meets the following conditions:

[0043] G k ij =1-P k ij .

[0044] The above-mentioned steps involve obtaining the first device deployment area and the first traffic flow, analyzing the first traffic flow and preset time period corresponding to the first deployment area, obtaining a list of second device deployment areas, further obtaining the third device deployment area and the first and second vehicle numbers corresponding to the third device deployment area, processing the first and second vehicle numbers corresponding to the third device deployment area, and obtaining the first vehicle data collection device miss rate corresponding to the vehicle data collection device type in different preset time periods and different traffic flow ranges on the road. This helps to improve the accuracy of obtaining the vehicle data collection device miss rate.

[0045] Specifically, the present invention also provides an embodiment that differs from the above embodiment in that, after obtaining the missed sampling rate of the vehicle data collection device corresponding to A, the following steps are also included:

[0046] S1000, Obtain A i The corresponding target vehicle data acquisition equipment missed rate LC i The target vehicle data collection equipment miss rate is the first vehicle data collection equipment miss rate or the second vehicle data collection equipment miss rate.

[0047] S2000, Obtain A i The corresponding first priority Y i The first priority is used to characterize the amount of resources consumed by the vehicle data acquisition device corresponding to the vehicle data acquisition device type. The first priority is stored in the system.

[0048] S3000, according to LC i and Y i According to the preset rules, A i The corresponding vehicle data collection equipment is deployed in a designated geographical area. As those skilled in the art will know, the designated geographical area is a geographical area set by those skilled in the art according to actual needs, and the preset rules are rules pre-set by those skilled in the art according to actual needs, which will not be elaborated here.

[0049] S4000: When the vehicle ID collected by the vehicle collection device deployed in the designated geographical area is the direction of travel of the vehicle entering the designated geographical area, the vehicle collection device is designated as the first key vehicle collection device, and a list of first key vehicle collection devices corresponding to the designated geographical area is obtained. The list of first key vehicle collection devices includes several first key collection devices.

[0050] S5000: When the vehicle ID collected by the vehicle collection device deployed in the specified geographical area is traveling in the direction of leaving the specified geographical area, the vehicle collection device is designated as the second key vehicle collection device to obtain a list of second key vehicle collection devices corresponding to the specified geographical area. The list of first key vehicle collection devices includes several second key collection devices.

[0051] S6000: Based on the list of first key vehicle data collection devices, obtain the number of vehicles entering a specified geographical area within a specified time period. As those skilled in the art know, the specified time period is a time period set by those skilled in the art according to actual needs, and will not be elaborated here.

[0052] Specifically, the S6000 procedure includes the following steps:

[0053] S6100. Obtain the list of first key vehicle IDs. The list of first key vehicle IDs includes several first key vehicle IDs. The first key vehicle IDs are the vehicle IDs collected by the first key vehicle acquisition device within a specified time period.

[0054] S6300: The first key vehicle ID list is deduplicated to obtain a second key vehicle ID list. The second key vehicle ID list includes several second key vehicle IDs. As those skilled in the art know, any deduplication method in the prior art is within the protection scope of this invention, and will not be described in detail here.

[0055] S6500: The number of second key vehicle IDs in the second key vehicle ID list is taken as the number of vehicles entering the specified geographical area within the specified time period.

[0056] The above-mentioned process of deduplicating the list of first key vehicle IDs and removing duplicate first key vehicle IDs can avoid obtaining the wrong number of vehicles entering a specified geographical area, which helps to improve the accuracy of obtaining the number of vehicles entering a specified geographical area.

[0057] S7000: Based on the second key vehicle data collection device list, obtain the number of vehicles leaving the specified geographical area within a specified time period. As those skilled in the art know, the method for obtaining the number of vehicles leaving the specified geographical area within a specified time period is the same as the method for obtaining the number of vehicles entering the specified geographical area within a specified time period, and will not be described again here.

[0058] The above analysis examines the missed sampling rate and resource consumption of vehicle data collection devices to determine their installation locations within a specified geographical area. This ensures optimal resource utilization and maximizes the collection of vehicle IDs within the designated area. The process involves processing the deployed devices to obtain a first-key vehicle data collection device list and a second-key vehicle data collection device list. Further processing of the vehicle IDs collected by the first-key and second-key devices yields the number of vehicles entering and leaving the designated geographical area within a specified time period. This process improves the accuracy of obtaining the number of vehicles entering and leaving the area.

[0059] This invention provides a data processing system for obtaining the missed sampling rate of vehicle data collection devices. The system includes: a list of vehicle data collection device types corresponding to a target geographical area, a list of preset time periods, a processor, and a memory storing a computer program. When the computer program is executed by the processor, the system performs the following steps: obtaining a first list of device deployment areas corresponding to the target geographical area; obtaining a first traffic flow list corresponding to the first device deployment area list based on the first device deployment area list and the preset time period list; obtaining a preset traffic flow interval list corresponding to the preset time period list; obtaining a second list of device deployment areas based on the first traffic flow list and the preset traffic flow interval list; and obtaining a first list of vehicle data collection device missed sampling rates corresponding to the vehicle data collection device types based on the vehicle data collection device type list and the second device deployment area list. This invention can obtain the first device deployment area and the first traffic flow, analyze the first traffic flow and preset time period corresponding to the first deployment area to obtain the second device deployment area list, analyze the vehicle data collection device types and the second device deployment area, and obtain the first vehicle data collection device missed sampling rate corresponding to the vehicle data collection device type in different preset time periods and different traffic flow ranges on roads, which helps improve the accuracy of obtaining the vehicle data collection device missed sampling rate.

[0060] While specific embodiments of the invention have been described in detail by way of example, those skilled in the art should understand that the above examples are for illustrative purposes only and are not intended to limit the scope of the invention. Those skilled in the art should also understand that various modifications can be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims

1. A data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment, characterized in that, The system includes: a list of vehicle data collection device types A = {A1, ..., A2} corresponding to the target geographical area. i , ..., A m }, Preset time period list B = {B1, ..., B j , ..., B n }, processor and memory storing computer programs, wherein A i Let B be the i-th vehicle data acquisition device type corresponding to the target geographic region, i = 1...m, where m is the number of vehicle data acquisition device types corresponding to the target geographic region. Each vehicle data acquisition device type corresponds to one vehicle data acquisition device. j For the j-th preset time period, j = 1...n, where n is the number of preset time periods, when the computer program is executed by the processor, the following steps are implemented: S100. Obtain the first device deployment area list C = {C1, ..., C2} corresponding to the target geographic area. r , ..., C s }, C r The r-th first device deployment area corresponding to the target geographic area, r = 1...s, where s is the number of first device deployment areas corresponding to the target geographic area. The first device deployment area is the area in the target geographic area where at least two types of vehicle data collection devices are installed. S200. Based on C and B, obtain the first traffic flow list D = {D1, ..., D2} corresponding to C. r , ..., D s }, D r ={D r1 , ..., D rj , ..., D rn }, D rj For B j C r The corresponding first traffic flow is the traffic flow in the direction of travel corresponding to the equipment deployment area at the intersection where the equipment deployment area is located; S300. Obtain the preset flow range list E = {E1, ..., E2} corresponding to B. j , ..., E n }, E j ={E j1 , ..., E jk , ..., E jt(j) }, E jk =[E 1 jk E 2 jk ], E 1 jk For B j The lower limit value of the corresponding k-th preset flow range, E 2 jk For B j The upper limit of the corresponding k-th preset flow interval, k = 1...t(j), where t(j) is B. j The corresponding number of preset traffic ranges; S400, when D rj ∈[E 1 jk E 2 jk When, C r As B j The corresponding second device deployment area in the k-th second device deployment area list is used to obtain the second device deployment area list F = {F1, ..., F2}. j , ..., F n }, F j ={F j1 , ..., F jk , ..., F jt(j) }, F jk ={F 1 jk , ..., F g jk , ..., F h jk }, F g jk For B j The corresponding kth second device deployment area in the list of second device deployment areas, where g = 1...h, and h is the number of second device deployment areas in the list of second device deployment areas; S500. Based on A and F, obtain the list of missed sampling rates of the first vehicle data collection device corresponding to A, G = {G1, ..., G...} i , ..., G m }, G i ={G i1 , ..., G ij , ..., G in }, G ij ={G 1 ij , ..., G k ij , ..., G t(j) ij }, G k ij For A i The corresponding vehicle data collection equipment is in B j And its corresponding second traffic flow belongs to [E] 1 jk E 2 jk The first vehicle data collection device miss rate is the second traffic flow rate, which is the traffic flow rate in the direction of travel of the vehicle ID corresponding to the vehicle collected by the vehicle data collection device at the intersection where the vehicle data collection device is located.

2. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 1, characterized in that, The vehicle data collection device type refers to the type of vehicle data collection device, which is a device capable of collecting vehicle IDs within the target geographical area.

3. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 2, characterized in that, The vehicle ID is a unique identifier for a vehicle.

4. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 2, characterized in that, The resources consumed by the vehicle data collection equipment are different for each type of vehicle data collection equipment.

5. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 2, characterized in that, Vehicles whose vehicle IDs are collected by vehicle acquisition devices installed in the same first device deployment area all have the same driving direction.

6. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 1, characterized in that, The first equipment deployment area is located at any intersection within the target geographical area.

7. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 5, characterized in that, Each deployment area of ​​the first device corresponds to a driving direction.

8. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 7, characterized in that, The driving direction corresponding to the first equipment deployment area is the same as the driving direction of the vehicle corresponding to the vehicle ID collected by the vehicle collection device within the first equipment deployment area.

9. The data processing system for obtaining the missed sampling rate of vehicle data acquisition equipment according to claim 1, characterized in that, The S500 procedure includes the following steps: S501, when F g jk A is installed inside i When using the corresponding vehicle data collection equipment, F g jk As B j China A i The corresponding third device deployment area in the k-th third device deployment area list, to obtain B j China A i The corresponding third-party device deployment area list H ij ={H 1 ij H k ij H t(j) ij }, H k ij ={H k1 ij H ke ij H kf ij }, H ke ij For B j China A i The corresponding third device deployment area is the e-th third device deployment area in the k-th third device deployment area list, where e = 1...f, and f is B. j China A i The number of third device deployment areas in the corresponding k-th third device deployment area list; S503, according to H ke ij and A i , obtain installed in H ke ij A in i The corresponding number of first vehicle IDs R ke ij The first vehicle ID count is the number of vehicle IDs collected by the vehicle collection device installed in the third device deployment area; S505, according to H ke ij Get H ke ij The corresponding number of second vehicle IDs L ke ij The second vehicle ID count is the number of vehicle IDs obtained after deduplicating all vehicle IDs collected by all vehicle collection devices installed in the third equipment deployment area. S507, according to R ke ij and L ke ij , obtain P k ij P k ij For A i The corresponding vehicle data collection equipment is in B j And its corresponding second traffic flow belongs to [E] 1 jk E 2 jk The first vehicle data collection device collection rate, where P k ij Meets the following conditions: P k ij =S f e＝1 (R ke ij / L ke ij ) / f; S509, according to P k ij Get G k ij Among them, G k ij G meets the following conditions: k ij =1-P k ij .

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