Latitude and longitude and traffic management road information conversion method

By obtaining the latitude and longitude information of the on-board equipment, and using the third-party API and the filing information of the monitoring equipment, it automatically converts it into city intersection information, solving the problem that the uploaded latitude and longitude of the on-board equipment cannot be directly matched, realizing automatic conversion and efficiency improvement.

CN119091630APending Publication Date: 2024-12-06TRAFFIC MANAGEMENT RES INST OF THE MIN OF PUBLIC SECURITY
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Patent Information

Application Number
CN202411287578.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-14
Publication Date
2024-12-06

AI Technical Summary

Technical Problem

The latitude and longitude information uploaded by on-board equipment cannot be directly matched to the city intersection information, resulting in a large amount of manual batch conversion required, increasing processing volume and cost.

Method used

By obtaining the latitude and longitude information of the on-board equipment, using third-party APIs to obtain address information, sort out the keyword collection of road and intersections, specify the search range, match the registered monitoring equipment, perform deduplication and search, automatically convert the latitude and longitude into urban intersection information, and reduce labor operate.

Benefits of technology

Automatic conversion of latitude and longitude and road codes is realized, reducing manual processing volume, reducing manual labeling costs, and improving efficiency.

✦ Generated by Eureka AI based on patent content.

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    Figure CN119091630A_ABST
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Abstract

According to the longitude and latitude and traffic management road information conversion method provided by the invention, the longitude and latitude dimensions of monitoring equipment recorded by a traffic management department are reused, the collected longitude and latitude information collides with the longitude and latitude of the nearby monitoring equipment, and the information of a city intersection closest to the longitude and latitude is found; narrowing a road selection range corresponding to the latitude and longitude P1 of the vehicle-mounted equipment; according to the method, latitude and longitude marking does not need to be carried out on each urban intersection, a large amount of manual marking cost is reduced, and automatic conversion between latitude and longitude and road codes is realized. On the basis of the road keyword set R1 and the intersection keyword set R2, the road keywords and the intersection keywords of the city are managed, after multiple rounds of manual processing and automatic processing are combined, the keyword content in the R1 and the keyword content in the R2 are gradually improved, and the workload of manual operation is further reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of intelligent traffic control, and in particular to a method for converting longitude and latitude into traffic management road information. Background Art

[0002] With the widespread use of vehicle-mounted equipment, vehicle-mounted equipment plays an important role in traffic management such as abnormal traffic incidents and serious traffic law discovery. However, it is found in actual use that the longitude and latitude information uploaded by the vehicle-mounted equipment cannot usually be directly used by the traffic management department, especially for urban roads, which need to convert the longitude and latitude into urban intersection information for traffic management and then archive it. Among them, urban intersection information includes: road code and intersection number. However, the urban intersection information maintained by the current traffic management department does not mark the longitude and latitude information, so it is impossible to directly match the corresponding intersection information through longitude and latitude. Most of the time, technicians are required to manually convert the longitude and latitude information uploaded by the vehicle-mounted equipment into urban intersection information in batches in the background. Urban roads are usually composed of road codes and intersection numbers (road sections), so a record uploaded by the vehicle-mounted equipment needs to be matched at least twice, and a lot of manpower is required to complete the daily conversion work. Summary of the invention

[0003] In order to solve the problem that the longitude and latitude information uploaded by the vehicle-mounted device cannot be directly matched to the city intersection information, the present invention provides a method for converting longitude and latitude and traffic management road information, which can realize automatic conversion of longitude and latitude and road codes, effectively reducing the amount of manual processing.

[0004] The technical solution of the present invention is as follows: a method for converting longitude and latitude into traffic management road information, characterized in that it comprises the following steps:

[0005] S1: Obtain the longitude and latitude P1 collected by the vehicle-mounted device at the city intersection, and obtain the address information D1 to be identified through the third-party API interface. D1 includes: province, city, district and detailed address; the detailed address includes: road name and intersection name;

[0006] S2: sort out the road keyword set R1 in the current city road set;

[0007] S3: sorting out the intersection keyword set R2 in the current city road intersection set;

[0008] S4: specify the search range RE;

[0009] A search area is formed with the longitude and latitude P1 as the center and the specified range RE as the radius. In the search area, all the registered monitoring devices are found, and the detailed address of each monitoring device is obtained, which is recorded as the comparison address.

[0010] The comparison address includes: road name and intersection name;

[0011] S5: extracting the road names of the comparison addresses, performing a deduplication operation on the detailed addresses with the same road names, and obtaining a deduplicated comparison address set;

[0012] Based on the deduplicated comparison address set, a positioning road set D2 is formed;

[0013] The positioning road set D2 includes: administrative division, registered road code, road name and distance from the collected longitude and latitude P1;

[0014] S6: searching for the road name in the detailed address in the address information to be identified D1 from the road names in the positioning road set D2, and recording the found road name as the positioned road name;

[0015] S7: Find all monitoring devices whose road names are the road names to be confirmed in the comparison addresses, and form a positioning intersection set D3 based on the detailed addresses of the monitoring devices;

[0016] The positioning intersection set D3 includes: administrative divisions, registered road codes, road names, registered intersection codes and intersection names;

[0017] S8: searching the intersection names in the positioning intersection set D3 for the intersection name of the detailed address in the address information to be identified D1, and recording the found road name as the intersection name after positioning;

[0018] S9: Take out the monitoring devices corresponding to the located road name and the located intersection name, obtain the corresponding city intersection information, and obtain the city intersection information corresponding to the longitude and latitude P1;

[0019] The city intersection information includes: administrative divisions, road codes, road names, intersection codes and intersection names.

[0020] It is further characterized by:

[0021] It also includes the following steps:

[0022] Add the road keywords and intersection keywords included in the detailed address processed in the manual program to the road keyword set R1 and the intersection keyword set R2 respectively;

[0023] The road keyword set R1 = {road, way, lane, street, line, ...};

[0024] The intersection keyword set R2 = {intersection, road, section, road, bridge, ...};

[0025] The deduplication operation is: among the detailed addresses with the same road name, only the one closest to the longitude and latitude P1 is retained;

[0026] In step S6, the method for retrieving the located road name comprises the following steps:

[0027] a1: Take out each keyword in the road keyword set R1 one by one, and record it as the road keyword to be retrieved;

[0028] a2: searching the road keyword to be searched in the detailed address in the address information to be identified D1;

[0029] If it can be retrieved, the retrieved road keyword is recorded as: the first keyword, and step a4 is executed;

[0030] If it cannot be retrieved, go to step a3;

[0031] a3: looping through steps a1 to a2, if all the keywords of the road keyword set R1 cannot be found in the detailed address of the address information to be identified D1, then stop the current operation and switch to the manual conversion procedure;

[0032] a4: In the detailed address in the address information D1 to be identified, all the Chinese characters before the first keyword are taken out and combined with the first keyword to be recorded as: the road name to be confirmed;

[0033] a5: searching the road name to be confirmed from the road names in the positioning road set D2;

[0034] If it can be retrieved, the road name is recorded as the located road name, and step S7 is executed;

[0035] If the data cannot be retrieved, stop the current operation and switch to manual conversion procedure;

[0036] In step a2, if multiple road keywords to be searched can be found in the detailed address in the address information D1 to be identified, the first keyword that appears is taken and recorded as the first keyword;

[0037] In step S8, the method for retrieving the name of the located intersection includes the following steps:

[0038] b1: Take out each keyword of the intersection keyword set R2 one by one, and record them as: the intersection keyword to be searched;

[0039] b2: searching the keyword of the intersection to be searched in the detailed address in the address information D1 to be identified;

[0040] If it can be retrieved, the retrieved road keyword is recorded as the second keyword, and step b4 is executed;

[0041] If it cannot be retrieved, go to step b3;

[0042] b3: looping through steps b1 and b2, if all the keywords in the intersection keyword set R2 cannot be found in the detailed address in the address information to be identified D1, then stop the current operation and switch to manual conversion procedure;

[0043] b4: In the detailed address in the address information D1 to be identified, all Chinese characters located after the first keyword and before the second keyword are taken out, combined with the second keyword, and recorded as: the name of the intersection to be confirmed;

[0044] b5: searching the name of the to-be-confirmed intersection from the intersection names in the positioning intersection set D3;

[0045] If it can be retrieved, the name of the intersection to be confirmed after positioning is recorded as: the name of the intersection after positioning, and step S9 is executed;

[0046] If it cannot be retrieved, execute step b6;

[0047] b6: In the detailed address in the address information D1 to be identified, all Chinese characters located before the second keyword are taken out and combined with the second keyword to be recorded as: the name of the intersection to be confirmed;

[0048] b7: searching the name of the to-be-confirmed intersection from the intersection names in the positioning intersection set D3;

[0049] If it can be retrieved, the name of the intersection to be confirmed after positioning is recorded as: the name of the intersection after positioning, and step S9 is executed;

[0050] If the search still fails, stop the current operation and switch to manual conversion procedure;

[0051] The designated range RE is set to 3KM.

[0052] The present application provides a method for converting longitude and latitude to traffic management road information. The method reuses the longitude and latitude dimensions of monitoring equipment that have been filed by the traffic management department. The collected longitude and latitude information is collided with the longitude and latitude of nearby monitoring equipment to find the information of a city intersection closest to the longitude and latitude, and narrow the road selection range corresponding to the longitude and latitude P1 of the vehicle-mounted equipment. The method does not need to mark the longitude and latitude of each city intersection, which reduces a lot of manual marking costs and realizes the automatic conversion of longitude and latitude to road codes. Based on the road keyword set R1 and the intersection keyword set R2, the city's road keywords and intersection keywords are managed. After multiple rounds of manual processing and automatic processing, the keyword content in R1 and R2 is gradually improved, further reducing the workload of manual operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a flow chart of the method for converting longitude and latitude into traffic management road information in this application. DETAILED DESCRIPTION

[0054] The vehicle-mounted equipment in this application refers to the special patrol vehicle-mounted equipment used by the traffic management department, which is a special equipment used to collect data on traffic incidents, traffic violations, etc. In actual work, the longitude and latitude information uploaded by the vehicle-mounted equipment usually cannot be directly used by the traffic management department, especially for urban roads, where the longitude and latitude need to be converted into road codes and intersection numbers for traffic management for archiving. Because all monitoring equipment installed on the roadside needs to be filed first, and the filing information includes the road information of the monitoring equipment, this application reuses the longitude and latitude information of various types of monitoring equipment on the roadside, and realizes the double conversion of road codes and intersection numbers in the road information.

[0055] like Figure 1 As shown, the present invention includes a method for converting longitude and latitude into traffic management road information, which includes the following steps.

[0056] S1: Obtain the longitude and latitude P1 = {long, lat} collected by the vehicle-mounted equipment at the city intersection, and obtain the address information D1 to be identified through the third-party API interface. D1 includes: province, city, district and detailed address; the detailed address includes: road name and intersection name. The third-party API interface includes map companies such as AutoNavi and Baidu. In this embodiment, the address corresponding to P1 is: Dongting intersection of Xueqian East Road, Xishan District, Wuxi City, Jiangsu Province, and the detailed address corresponding to P1 is: Dongting intersection of Xueqian East Road, where "Xueqian East Road" is the road name and "Dongting intersection" is the intersection name.

[0057] S2: Sort the road keyword set R1 in the current city road set.

[0058] S3: Sort the intersection keyword set R2 in the current city road intersection set.

[0059] Due to historical reasons, the road naming rules of each city are different. Therefore, it is necessary to first analyze the road naming rules of the city and obtain the keyword combination applicable to the city. In this embodiment:

[0060] The road keyword set R1 = {road, way, lane, street, line, ...};

[0061] The intersection keyword set R2 = {intersection, road, section, path, bridge, ...}.

[0062] S4: specify the search range RE;

[0063] A search area is formed with the longitude and latitude P1 as the center and the specified range RE as the radius. In the search area, all the registered monitoring devices are found, and the detailed address of each monitoring device is obtained, which is recorded as the comparison address.

[0064] The comparison address includes: a road name and an intersection name.

[0065] The specific value of the designated range is set according to the density of monitoring equipment on the road. If the density of monitoring equipment is large, RE is set smaller. In this embodiment, the designated range RE is set to 3KM.

[0066] S5: extracting the road names of the comparison addresses, performing a deduplication operation on the detailed addresses with the same road names, and obtaining a deduplicated comparison address set;

[0067] Based on the deduplicated comparison address set, a positioning road set D2 is formed;

[0068] The positioning road set D2 includes: administrative divisions, registered road codes, road names and distances from the collected longitude and latitude P1.

[0069] The deduplication operation is: among the detailed addresses with the same road name, only the one closest to the longitude and latitude P1 is retained; the overall calculation amount is reduced by deduplication operation. In order to improve the matching accuracy, the address of the monitoring device closest to P1 is retained.

[0070] In this embodiment, the road set D2 of all monitoring equipment registered within the latitude and longitude distance of the registered monitoring equipment within 3KM is shown in the following Table 1:

[0071] Table 1: Example of positioning road set D2

[0072] Administrative divisions Recorded road code road name Distance collection longitude and latitude P1 distance KM 320205 60011 Xihu Road 0.2 320205 60013 Xueqian East Road 0.3 … … … …

[0073] In this example, D1 contains the keyword "road", and the first 4 digits of "Xueqian East Road" are used to match the road names in the road set D2.

[0074] S6: Search the road names in the detailed address in the address information D1 for identification from the road names in the positioning road set D2, and record the found road name as the positioned road name. In this embodiment, the positioned road name is Xueqian East Road.

[0075] In step S6, the method for retrieving the located road name comprises the following steps:

[0076] a1: Take out each keyword in the road keyword set R1 one by one, and record it as the road keyword to be retrieved;

[0077] a2: searching the road keyword to be searched in the detailed address in the address information to be identified D1;

[0078] If it can be retrieved, the retrieved road keyword is recorded as: the first keyword, and step a4 is executed;

[0079] If it cannot be retrieved, go to step a3;

[0080] If multiple road keywords to be searched can be found in the detailed address in the address information D1 to be identified, the first keyword that appears is taken and recorded as the first keyword;

[0081] a3: looping through steps a1 to a2, if all the keywords of the road keyword set R1 cannot be found in the detailed address of the address information to be identified D1, then stop the current operation and switch to the manual conversion procedure;

[0082] a4: In the detailed address in the address information D1 to be identified, all the Chinese characters before the first keyword are taken out and combined with the first keyword to be recorded as: the road name to be confirmed;

[0083] a5: searching the road name to be confirmed from the road names in the positioning road set D2;

[0084] If it can be retrieved, the road name is recorded as the located road name, and step S7 is executed;

[0085] If the data cannot be retrieved, stop the current operation and switch to manual conversion procedure;

[0086] S7: Find all monitoring devices whose road names are the road names to be confirmed in the comparison addresses, and form a positioning intersection set D3 based on the detailed addresses of the monitoring devices;

[0087] The positioning intersection set D3 includes: administrative divisions, registered road codes, road names, registered intersection codes and intersection names;

[0088] S8: searching the intersection names in the positioning intersection set D3 for the intersection name of the detailed address in the address information to be identified D1, and recording the found road name as the positioned intersection name.

[0089] In this embodiment, the positioning intersection set D3 refers to the following Table 2.

[0090] Table 2: Example of intersection set D3 for positioning

[0091] Administrative divisions Recorded road code road name Record intersection code Intersection Name 320205 60013 Xueqian East Road 1001 Zijing South Road … … … … … 320205 60013 Xueqian East Road 1035 Xueqian East Road Dongting Road Intersection

[0092] In this embodiment, the detailed address corresponding to P1 is: Xueqian East Road Dongting Road Intersection, and the name of the intersection after positioning is: Xueqian East Road Dongting Road Intersection.

[0093] In actual applications, because a road may intersect with many other roads, in order to distinguish different intersections on the same road, many intersections will be named using the names of the two intersecting roads at the same time; for example, Dongting Road intersects with four roads at the same time, and there are four intersections on Dongting Road. Among them, the intersection with Xueqian East Road will be named: Xueqian East Road Dongting Intersection. In the detailed address of P1, the road name is: Xueqian East Road, and the intersection name is: Xueqian East Road Dongting Intersection; but in the intersection information, the detailed address of P1 will be deduplicated and become: Xueqian East Road Dongting Intersection. The specific naming method of intersection information is implemented based on the rules in the prior art.

[0094] In step S8, the method for retrieving the name of the located intersection includes the following steps:

[0095] b1: Take out each keyword of the intersection keyword set R2 one by one, and record them as: the intersection keyword to be searched;

[0096] b2: searching the keyword of the intersection to be searched in the detailed address in the address information D1 to be identified;

[0097] If it can be retrieved, the retrieved road keyword is recorded as the second keyword, and step b4 is executed;

[0098] If it cannot be retrieved, go to step b3;

[0099] b2: after removing the located road name from the detailed address in the address information D1 to be identified, searching for the intersection keyword to be searched; similarly, if multiple intersection keywords to be searched can be searched, the first intersection keyword that appears is recorded as the second keyword;

[0100] b3: looping through steps b1 and b2, if all the keywords in the intersection keyword set R2 cannot be found in the detailed address in the address information to be identified D1, then stop the current operation and switch to manual conversion procedure;

[0101] b4: In the detailed address in the address information D1 to be identified, all Chinese characters located after the first keyword and before the second keyword are taken out, combined with the second keyword, and recorded as: the name of the intersection to be confirmed;

[0102] b5: searching the name of the to-be-confirmed intersection from the intersection names in the positioning intersection set D3;

[0103] If it can be retrieved, the name of the intersection to be confirmed after positioning is recorded as: the name of the intersection after positioning, and step S9 is executed;

[0104] If it cannot be retrieved, execute step b6;

[0105] b6: In the detailed address in the address information D1 to be identified, all Chinese characters located before the second keyword are taken out and combined with the second keyword to be recorded as: the name of the intersection to be confirmed;

[0106] b7: searching the name of the to-be-confirmed intersection from the intersection names in the positioning intersection set D3;

[0107] If it can be retrieved, the name of the intersection to be confirmed after positioning is recorded as: the name of the intersection after positioning, and step S9 is executed;

[0108] If the data still cannot be retrieved, stop this operation and switch to manual conversion procedure.

[0109] S9: Take out the monitoring devices corresponding to the located road name and the located intersection name, obtain the corresponding city intersection information, and obtain the city intersection information corresponding to the longitude and latitude P1;

[0110] The city intersection information includes: administrative divisions, road codes, road names, intersection codes and intersection names.

[0111] In this embodiment, the city intersection information corresponding to the longitude and latitude P1 is: 320205, 60013, Xueqian East Road, 1035, Dongting Intersection.

[0112] In order to further enrich the content of the keyword set and improve the subsequent retrieval accuracy, the method also includes the following steps.

[0113] The road keywords and intersection keywords included in the detailed address processed in the manual program are added to the road keyword set R1 and the intersection keyword set R2 respectively. After multiple rounds of calculation, the keywords included in R1 and R2 will be more suitable for the city.

[0114] After using the technical solution of the present invention, the longitude and latitude dimensions of the monitoring equipment that have been registered with the traffic management department are reused, which effectively narrows the range of road selection. The longitude and latitude of the monitoring equipment are reused, and there is no need to mark the longitude and latitude of each city intersection, thereby reducing a large amount of manual marking costs. The present application is universal in the field of traffic management. In addition to the special vehicle-mounted equipment mentioned in the present application, traffic event information collected by the public's driving recorders and other equipment, after being provided to the traffic management department, is also applicable to the present method as long as it contains longitude and latitude information.

Claims

1. A method for converting longitude and latitude into traffic management road information, characterized in that: It includes the following steps: S1: Obtain the longitude and latitude P1 collected by the vehicle-mounted device at the city intersection, and obtain the address information D1 to be identified through the third-party API interface. D1 includes: province, city, district and detailed address; the detailed address includes: road name and intersection name; S2: sort out the road keyword set R1 in the current city road set; S3: sorting out the intersection keyword set R2 in the current city road intersection set; S4: specify the search range RE; A search area is formed with the longitude and latitude P1 as the center and the specified range RE as the radius. In the search area, all the registered monitoring devices are found, and the detailed address of each monitoring device is obtained, which is recorded as the comparison address. The comparison address includes: road name and intersection name; S5: extracting the road names of the comparison addresses, performing a deduplication operation on the detailed addresses with the same road names, and obtaining a deduplicated comparison address set; Based on the deduplicated comparison address set, a positioning road set D2 is formed; The positioning road set D2 includes: administrative division, registered road code, road name and distance from the collected longitude and latitude P1; S6: searching for the road name in the detailed address in the address information to be identified D1 from the road names in the positioning road set D2, and recording the found road name as the positioned road name; S7: Find all monitoring devices whose road names are the road names to be confirmed in the comparison addresses, and form a positioning intersection set D3 based on the detailed addresses of the monitoring devices; The positioning intersection set D3 includes: administrative divisions, registered road codes, road names, registered intersection codes and intersection names; S8: searching the intersection names in the positioning intersection set D3 for the intersection name of the detailed address in the address information to be identified D1, and recording the found road name as the intersection name after positioning; S9: Take out the monitoring devices corresponding to the located road name and the located intersection name, obtain the corresponding city intersection information, and obtain the city intersection information corresponding to the longitude and latitude P1; The city intersection information includes: administrative divisions, road codes, road names, intersection codes and intersection names.

2. It is further characterized by: According to the method for converting longitude and latitude into traffic management road information according to claim 1, it is characterized by: It also includes the following steps: The road keywords and intersection keywords included in the detailed address processed in the manual procedure are added to the road keyword set R1 and the intersection keyword set R2 respectively.

3. The method for converting longitude and latitude into traffic management road information according to claim 1, characterized in that: The road keyword set R1={road, way, lane, street, line, ...}.

4. The method for converting longitude and latitude into traffic management road information according to claim 1, characterized in that: The intersection keyword set R2={intersection, road, section, path, bridge, ...}.

5. The method for converting longitude and latitude into traffic management road information according to claim 1, characterized in that: The de-duplication operation is: among the detailed addresses with the same road name, only the one closest to the longitude and latitude P1 is retained.

6. The method for converting longitude and latitude into traffic management road information according to claim 1, characterized in that: In step S6, the method for retrieving the located road name comprises the following steps: a1: Take out each keyword in the road keyword set R1 one by one, and record it as the road keyword to be retrieved; a2: searching the road keyword to be searched in the detailed address in the address information to be identified D1; If it can be retrieved, the retrieved road keyword is recorded as: the first keyword, and step a4 is executed; If it cannot be retrieved, go to step a3; a3: looping through steps a1 and a2, if all the keywords in the road keyword set R1 cannot be found in the detailed address in the address information to be identified D1, then stop the current operation and switch to manual conversion procedure; a4: In the detailed address in the address information D1 to be identified, all the Chinese characters before the first keyword are taken out and combined with the first keyword to be recorded as: the road name to be confirmed; a5: searching the road name to be confirmed from the road names in the positioning road set D2; If it can be retrieved, the road name is recorded as the located road name, and step S7 is executed; If the data cannot be retrieved, stop the current operation and switch to manual conversion procedure.

7. A method for converting longitude and latitude into traffic management road information according to claim 6, characterized in that: In step a2, if multiple road keywords to be searched can be retrieved in the detailed address in the address information to be identified D1, the first keyword that appears is taken and recorded as the first keyword.

8. The method for converting longitude and latitude into traffic management road information according to claim 1, characterized in that: In step S8, the method for retrieving the name of the located intersection includes the following steps: b1: Take out each keyword of the intersection keyword set R2 one by one, and record them as: the intersection keyword to be searched; b2: searching the keyword of the intersection to be searched in the detailed address in the address information D1 to be identified; If it can be retrieved, the retrieved road keyword is recorded as the second keyword, and step b4 is executed; If it cannot be retrieved, go to step b3; b3: looping through steps b1 and b2, if all the keywords in the intersection keyword set R2 cannot be found in the detailed address in the address information to be identified D1, then stop the current operation and switch to manual conversion procedure; b4: In the detailed address in the address information D1 to be identified, all Chinese characters located after the first keyword and before the second keyword are taken out, combined with the second keyword, and recorded as: the name of the intersection to be confirmed; b5: searching the name of the to-be-confirmed intersection from the intersection names in the positioning intersection set D3; If it can be retrieved, the name of the intersection to be confirmed after positioning is recorded as: the name of the intersection after positioning, and step S9 is executed; If it cannot be retrieved, execute step b6; b6: In the detailed address in the address information D1 to be identified, all Chinese characters located before the second keyword are taken out and combined with the second keyword to be recorded as: the name of the intersection to be confirmed; b7: searching the name of the to-be-confirmed intersection from the intersection names in the positioning intersection set D3; If it can be retrieved, the name of the intersection to be confirmed after positioning is recorded as: the name of the intersection after positioning, and step S9 is executed; If the data still cannot be retrieved, stop this operation and switch to manual conversion procedure.

9. The method for converting longitude and latitude into traffic management road information according to claim 1, characterized in that: The designated range RE is set to 3KM.