CN109191605B - Highway charging rate accuracy evaluation method considering charging path - Google Patents
Highway charging rate accuracy evaluation method considering charging path Download PDFInfo
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Abstract
The invention discloses a highway charging rate accuracy evaluation method considering a charging path, which comprises the following steps: collecting highway toll flow data to construct a historical database; importing a characteristic value table and a road section software development unit list, and constructing a rule database for evaluating the accuracy of the charging path; preprocessing the collected charging running water data and the imported characteristic value table; calculating a characteristic value table filtration rate index in the highway toll flow; calculating the proportion of continuous missing marks and wrong judgment and processing of paths in the highway toll flow; calculating the proportion of the charging paths in the charging flowing water of the expressway which lack the basis but are not the shortest paths; and calculating the proportion of the charging path in the charging flowing water of the expressway which takes the shortest path but conflicts with the high-card path. The method realizes the function of verifying unknown data by using the common characteristics of the data on the basis of fully mining the existing data resources, and improves the accuracy and efficiency of evaluating the charging running water.
Description
Technical Field
The invention relates to the field of precision evaluation of highway network charging systems, in particular to a highway charging rate accuracy evaluation method considering a charging path.
Background
The highway charging rate accuracy is an important ring for evaluating the reliability of highway charging software, and the essence of the highway charging rate accuracy is that relevant data capable of reflecting the charging software rate calculation accuracy (particularly the accuracy of a charging path) are collected, cleaned and calculated by utilizing a big data analysis technology and a scientific statistical theory, so that a plurality of indexes for reflecting the charging software rate calculation accuracy are obtained, and important data bases are provided for the improvement and upgrading of the highway charging software.
However, from the practical aspect, the highway networking charging rate calculation work in China has many problems, such as: the road network is complex and large in scale, a plurality of ambiguous paths are formed, and accurate charging paths are difficult to restore; the road section identification system is incomplete, corresponding maintenance construction is lacked, and the conditions that identification information is incomplete and even has errors exist; the rate calculation algorithm is too simple, has bugs, lacks a standardized charging process, has few problems, does not carry out fine research, and may cause charging disputes.
Disclosure of Invention
The invention aims to provide a highway charging rate accuracy evaluation method considering a charging path, which utilizes basic charging running data, carries out quantitative evaluation on the rate calculation accuracy of highway charging software through data processing and data mining and solves the problems of missed charging and wrong charging of highway toll, lack of basis of the charging path and the like.
The purpose of the invention can be realized by the following technical scheme:
a method for evaluating the accuracy of a charging rate of a highway by considering a charging path comprises the following steps:
collecting highway toll flow data in a set evaluation period, and constructing a historical database for highway toll flow; importing a characteristic value table and a road section software development unit list, and constructing a rule database for evaluating the accuracy of the charging path;
preprocessing the collected highway toll flow data and the imported characteristic value table;
calculating a characteristic value table filtration rate index in the highway toll flow;
calculating the proportion of continuous missing marks and wrong judgment and processing of paths in the highway toll flow;
calculating the proportion of the charging paths in the charging flowing water of the expressway which lack the basis but are not the shortest paths;
and calculating the proportion of the charging path in the charging flowing water of the expressway which takes the shortest path but conflicts with the high-card path.
Further, the highway toll flow data comprises the following fields: an exit flow number, an entrance section number, an entrance station number, an entrance lane type, an entrance date and time, an exit section number, an exit station number, an exit lane type, an exit date and time, a license plate number, a vehicle type, a travel mileage, a charge amount, a free type code, original identification information, charge path information, a charge path section combination, high-card path information, and the like;
the characteristic value table data contains the following fields: serial number, identification point sequence, exit road section number, entrance road section number, exit station number, entrance station number, 10-system error punctuation number, 16-system exit road section station number, error mark belonging condition and the like;
the road section software development unit detail table data comprises: road section number, road section name, region, superior owner unit, MTC lane system development unit and ETC lane system development unit.
Further, the data preprocessing of the collected highway toll flow data and the imported characteristic value table specifically includes the following contents:
comparing the charging path information and the original identification information of the highway charging running water data, judging the charging running water with inconsistent charging running water as abnormal charging running water, defining the rest as normal charging running water, and then respectively storing;
and converting the 10-system error punctuation numbers in the characteristic value table into 16-system error punctuation numbers, and updating the 16-system error punctuation numbers into a field of 16-system error punctuation numbers.
Further, the calculating of the characteristic value table filtering rate index in the highway toll flow specifically includes the following contents:
firstly, performing pattern matching on each abnormal toll flow according to the identification point sequence, the entrance and exit road section number and the entrance and exit station number of the characteristic value table, judging the false mark point and the false mark belonging condition in the toll path, and screening out the toll flow filtered by the characteristic value table;
and matching the mistaken marked flowing water obtained in the step with the generation unit of each mistaken marked flowing water according to the exit road section number and the exit station number, and respectively counting according to the charging unit and the charging road section to obtain the characteristic value table filtering rate of the charging flowing water.
Further, the calculating of the proportion that continuous missing marks exist in the path in the highway toll flow and the judgment processing is wrong specifically includes the following steps:
1) because the charging path in the charging flow is presented in the form of the identification point string, the charging path and the charging path combination of the normal charging flow are utilized to carry out full sample learning, the identification point sequence relation among all the stations is summarized, and a topology logic database of the expressway network combined with the identification points is formed, wherein the topology logic database comprises four tables:
① table flagcomb _ entry, recording identification point string between entrance toll station and adjacent node on road section, the table contains fields of entrance road section number, entrance station number, 16-system next road section number, RFID label path combination between entrance station and node, ETC label path combination between entrance station and node;
② table flagcomb _ exit, recording identification point string between exit toll station and adjacent node on road section, the table contains fields of exit road section number, exit station number, 16-system last road section number, RFID label path combination between node and exit station, ETC label path combination between node and exit station;
③ table flagcomb _ btnode, recording identification point string between nodes on each road section, the table contains fields of 16-system road section number, 16-system previous road section number, 16-system next road section number, road section combination before and after the road section, RFID label path combination between node and exit station, ETC label path combination between node and exit station;
④ table roadcomb _ btoad, recording road section combination roadcomb between disjoint road sections, the table includes fields of starting road section number, ending road section number, 16-system starting road section number, 16-system ending road section number, and road section combination between starting point and ending point;
2) according to the four tables generated in the step 1), supplementing a complete toll path section combination roadcomb _ replay and a reconstructed toll path originalpath _ replay by combining an entrance section number, an entrance station number, an exit section number, an exit station number and original identification information of abnormal toll flow obtained in the process of preprocessing collected highway toll flow data;
3) comparing the acquired charging path section combination roadcomb _ remake and reconstructed charging path originalpath _ remake with the charging path information based on the charging path section combination roadcomb _ remake and the reconstructed charging path originalpath _ remake obtained in the step 2), judging whether the charging path of the running water is continuously missing three or more identification points, and marking the charging running water with the condition;
4) for the charging running water marked in the last step, positioning the front and rear identification points of the missed mark part in the charging path as possible error mark points, and respectively eliminating the possible error mark points in three conditions: removing the front error punctuations, the rear error punctuations and the front and rear error punctuations simultaneously, and restoring the charging paths under the three conditions based on the step 2);
5) comparing the original identification information in the charging running water with the three reconstructed charging paths restored in the step 4), wherein if one of the three reconstructed charging paths has no three or more continuous mark leakage points, the charging path of the charging running water has a mark error condition, and the charging software judges and processes the running water by errors;
6) based on the step 5), the filtering rate of the characteristic value table of the toll flow is referred, the generation unit of each wrong-mark flow is matched according to the serial number of the exit road section and the serial number of the exit station, the toll flow with continuous missing marks of the toll path and wrong judgment and processing is judged by the toll software according to the toll unit or the road section, and therefore the proportion of the toll flow with continuous missing marks and wrong judgment and processing in the path in the highway toll flow is calculated.
Further, the calculating of the proportion of the toll path lack basis but not the shortest path in the toll flow of the highway specifically includes the following steps:
firstly, comparing the original toll road section and road combination roadcomb in the toll flow based on the toll road section and road combination roadcomb _ replay obtained in the step 2), judging that the route is not the shortest route if the route is not consistent, and extracting the flow;
then, whether the inconsistent part of the flow path exists in the high-card path information is verified, if the high-card path information cannot support the toll path, the flow path is judged to be wrong;
and finally, referring to the filtering rate of the characteristic value table of the charging running water, matching the generation unit of each mis-marked running water according to the serial number of the exit road section and the serial number of the exit station, and counting the running water proportion of the charging path which is lack of basis but not the shortest path according to the charging unit or the road section.
Further, the calculating of the proportion of the shortest charging path in the toll flow of the highway which conflicts with the high-speed card path specifically includes the following contents:
firstly, comparing the original charging road section and road combination roadcomb in the charging running water based on the charging road section and road combination roadcomb _ replay obtained in the step 2), if the charging road section and road combination roadcomb _ replay are consistent, judging that the route is the shortest route, and extracting the charging running water with the consistency of roadcomb and roadcomb _ replay;
then comparing the extracted charging path information of the charging running water with the high card path information, and if the charging path information of the charging running water conflicts with the high card path information, judging that the charging running water is wrong;
and finally, referring to the filtering rate of the characteristic value table of the toll flow, matching the generation unit of each mis-marked flow according to the serial number of the exit road section and the serial number of the exit station, and counting the flow proportion of the shortest path taken by the toll path and conflicting with the high-speed card path according to the toll unit or the road section.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the invention fully excavates the existing highway toll flow data resources, summarizes the building rule of the toll path from the toll flow big data by using the highway toll management rule file, and verifies the toll path in return, thereby realizing the function of verifying unknown data by using the general characteristics of the data, developing a new way for verifying the accuracy of the toll flow data, constructing the highway billing rate accuracy evaluation method considering the toll path, and improving the accuracy and efficiency of evaluating the toll flow.
Drawings
FIG. 1 is a diagram illustrating a ratio of filtering rate data of a feature value table of each charging software according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a filtering rate data ratio of the feature value table classified according to road segments in the embodiment of the present invention.
FIG. 3 is a diagram illustrating the statistical result of the data flow rate ratio with the continuous missing mark and the erroneous judgment processing counted by the charging unit in the embodiment of the present invention.
FIG. 4 is a data flow rate statistics result chart showing continuous missing mark statistics according to the charging road section and wrong judgment processing in the embodiment of the present invention.
FIG. 5 is a diagram of statistics of the data flow rate ratio based on the lack of the charging path but not the shortest path according to an embodiment of the present invention.
FIG. 6 is a diagram of statistics of the data flow rate for the shortest path of the charging path but conflicting with the high-card information according to an embodiment of the present invention.
Fig. 7 is a flowchart of a method for evaluating accuracy of a highway billing rate in consideration of a billing path according to an embodiment of the present invention.
Fig. 8 is a road network distribution diagram according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Example (b):
the embodiment provides a method for evaluating accuracy of a highway billing rate by considering a toll path, and the method has a flowchart as shown in fig. 7 and comprises the following steps:
1) collecting highway toll flow data in a set evaluation period, and constructing a historical database for highway toll flow; importing a characteristic value table and a road section software development unit list, and constructing a rule database for evaluating the accuracy of the charging path;
2) preprocessing data;
3) calculating a characteristic value table filtration rate index in the highway toll flow;
4) calculating the proportion of continuous missing marks and wrong judgment and processing of paths in the highway toll flow;
5) calculating the proportion of the charging paths in the charging flowing water of the expressway which lack the basis but are not the shortest paths;
6) and calculating the proportion of the charging path in the charging flowing water of the expressway which takes the shortest path but conflicts with the high-card path.
The step 1) comprises the following steps:
1.1) the highway toll flow data comprises: exit flow number, entrance section number, entrance station number, entrance lane type, entrance date and time, exit section number, exit station number, exit lane type, exit date and time, license plate number, vehicle type, travel distance, charge amount, free type code, original identification information, charge path section combination, high card path information, and the like;
1.2) the characteristic value table data contains: serial number, identification point sequence, exit (entrance) road section number, exit (entrance) station number, error punctuation number (10 system), error punctuation number (16 system), exit road section station number (16 system), belonging condition and other fields;
1.3) the detail data of the road section software development unit comprises: road section number, road section name, region, superior owner unit, MTC lane system development unit, ETC lane system development unit.
The step 2) comprises the following steps:
2.1) comparing the charging path information and the original identification information of the highway charging running water data, judging that the running water which is inconsistent with the charging path information and the original identification information is abnormal running water, defining the rest running water as normal running water, and then respectively storing;
2.2) converting the error punctuation numbers in the characteristic value table into error punctuation numbers in a 16-system, and updating the error punctuation numbers into fields of error punctuation numbers (16-system).
The step 3) comprises the following steps:
3.1) carrying out pattern matching on each abnormal toll flow according to the identification point sequence, the entrance and exit road section number and the site number of the characteristic value table, judging the false mark point and the false mark belonging condition in the toll path, and screening out the toll flow filtered by the characteristic value table;
and 3.2) matching the mistaken marked flowing water obtained in the step 3.1) with the generation unit of each mistaken marked flowing water according to the exit road section number and the exit station number, and respectively counting according to the charging unit and the charging road section to obtain the characteristic value table filtering rate of the charging flowing water.
The step 4) comprises the following steps:
4.1) because the method mainly considers the charging path, the charging path in the charging flow is presented in the form of identification point string, so the charging path and charging path combination of normal charging flow can be utilized to carry out full sample learning, the identification point sequence relation between each station is summarized, a topology logic database of the expressway network combined with the identification points is formed, and the topology logic database comprises four tables:
① table flagcomb _ entry for recording identification point string between entrance toll station and adjacent node on road section, the table contains fields of entrance road section number, entrance station number, next road section number (16-system), RFID label path combination between entrance station and node, ETC label path combination between entrance station and node;
② table flagcomb _ exit, recording identification point string between exit toll station and adjacent node on road section, the table contains fields of exit road section number, exit station number, last road section number (16 system), RFID label path combination between node and exit station, ETC label path combination between node and exit station;
③ table flagcomb _ btnode, recording identification point string between nodes on each road section, the table contains fields of road section number (16 system), previous road section number (16 system), next road section number (16 system), road section combination before and after the road section, RFID label path combination between node and exit station, ETC label path combination between node and exit station;
④ table roadcomb _ btoad, recording road section combination roadcomb between disjoint road sections, the table includes fields of starting road section number, ending road section number, starting road section number (16 system), ending road section number (16 system), road section combination between starting point and ending point;
4.2) according to the four tables generated in the step 4.1), supplementing a complete toll path section combination roadcomb _ repeat and a reconstructed toll path orignalpath _ repeat by combining the entrance section number, the entrance station number, the exit section number, the exit station number and the original identification information of the abnormal toll flow obtained in the step 2.1);
4.3) comparing the charging path combination roadcomb _ remake and the reconstructed charging path originalpath _ remake obtained in the step 4.2) with the charging path information, judging whether the charging path of the running water is continuously missing three or more identification points, and marking the charging running water with the condition;
4.4) positioning the front and rear identification points of the label missing part in the charging path as possible wrong marking points for the charging flow marked in the last step, respectively eliminating the possible wrong marking points in three conditions (eliminating the front wrong marking points, eliminating the rear wrong marking points and simultaneously eliminating the front and rear wrong marking points), and restoring the charging path under the three conditions based on the step 4.2);
4.5) comparing the original identification information in the toll flow with the three reconstructed toll paths restored in the step 4.4), if one of the three reconstructed toll paths has no three or more continuous leaked mark points, defining according to the toll rule file of the highway in Guangdong province, wherein the toll path of the toll flow has a wrong mark condition, and the toll software judges and processes the toll flow by mistake;
4.6) based on the step 4.5), referring to the step 3.2), matching the generation unit of each wrong-mark flow according to the exit road section number and the exit station number, and counting the continuous missing marks of the charging path according to the charging units or road sections, wherein the wrong charging flow is judged and processed by the charging software.
The step 5) comprises the following steps:
5.1) comparing the original toll road section combination roadcomb in the toll flow water based on the toll road section combination roadcomb _ replay obtained in the step 4.2), if the toll road section combination roadcomb is not consistent, judging that the route is not the shortest route, and extracting the flow water;
5.2) verifying whether the inconsistent part of the flow path exists in the high-card path information or not, and if the high-card path information cannot support the toll path, judging that the flow has errors;
5.3) based on the step 5.2), referring to the step 3.2), matching the generation unit of each false mark flow according to the exit road section number and the exit station number, and counting the flow proportion of the charging path lack basis but not the shortest path according to the charging unit or the road section.
The step 6) comprises the following steps:
6.1) comparing the original toll road section combination roadcomb in the toll flow based on the toll road section combination roadcomb _ replay obtained in the step 4.2), if the toll road section combination roadcomb is not consistent, judging that the route is the shortest route, and extracting the flow with the consistency of the roadcomb and the roadcomb _ replay;
6.2) comparing the information of the running water charging path with the information of the high card path, and if the information of the running water charging path conflicts with the information of the high card, judging that the running water is wrong;
6.3) based on the step 6.2), referring to the step 3.2), matching the generation unit of each false mark flow according to the exit road section number and the exit station number, and counting the flow proportion of the shortest path taken by the toll path but conflicting with the high-speed card path according to the toll unit or the road section.
The method described above will be described with reference to a specific example, in which the road network shown in fig. 8 is a road network in 2016, Guangdong province.
(1) Collecting highway charging data of the whole province of Guangdong province in 11 months in 2016, and constructing a historical database for goods transportation statistics of the highway network of the Guangdong province; and importing a false mark characteristic value table and a road section software development unit detail table, and constructing a rule database for evaluating the accuracy of the charging path.
(2) Data pre-processing
Comparing the charging path information and the original identification information of the highway charging running water data, and dividing the highway charging running water into normal charging running water and abnormal charging running water; and converting the error punctuation numbers in the characteristic value table into error punctuation numbers in a 16-system, and updating the error punctuation numbers into fields of error punctuation numbers (in a 16-system).
(3) Calculating the filtering rate index of the characteristic value table in the toll flow of the highway
Based on 2016 and 11 th highway toll flow data and a false mark characteristic value table of Guangdong province, performing pattern matching on each abnormal toll flow according to the identification point sequence, the entrance and exit road section number and the site number of the characteristic value table, and judging the situations of the false mark point and the false mark in the toll path; then, matching each generation unit of the false mark charging running water, respectively counting according to the charging unit and the charging road section, wherein the statistical result of the filtering rate of the characteristic value table is shown in table 1:
TABLE 1
The characteristic value table filter ratio data ratio of each charging software is shown in fig. 1, for example, and the characteristic value table filter ratio data ratio classified by link is shown in fig. 2, for example;
(4) calculating the proportion of continuous missing marks on the path in the highway toll flow and wrong judgment and treatment
The method comprises the steps of performing full-sample learning by combining a toll path and a toll path combination of the normal toll flow of Guangdong province in 2016 and 11 months to form a topological logic database of a highway network combined with identification points; restoring the charging path by combining original identification information of the abnormal running water, judging whether the original identification information has three or more continuous label missing points according to the charging rule file, respectively eliminating possible label missing points before and after the abnormal running water with the label missing points, restoring the charging path again, and if one of the paths restored again does not have the condition of continuous label missing, judging that the charging path of the running water has the condition of label missing; then matching the generation units of the charging pipelining, respectively counting according to the charging units and the charging road sections, continuously missing the mark and judging the statistical result of the data pipelining proportion with error processing as shown in fig. 3 and fig. 4;
(5) calculating the proportion of the charging path lack basis but not the shortest path in the charging flow of the expressway
Comparing the original toll road section path combination in the toll flow water based on the toll road section combination recombined in the step (4), and if the toll road section combination and the original toll road section path combination are not consistent and the high-card path information cannot support the toll path, judging that the flow water is wrong; then matching the generating unit of the charging running water, respectively counting according to the charging unit and the charging road section, wherein the statistical result of the data running water proportion of the charging path lack the basis but not the shortest path is shown in figure 5;
(6) calculating the proportion of the shortest route of the toll path in the toll flow of the highway which conflicts with the high-speed card route
Comparing the original toll road section path combination in the toll flow water based on the toll road section combination recombined in the step (4), and if the toll road section path combination and the original toll road section path combination are consistent but the high-card path information conflicts, judging that the flow water has errors; then, the generation units of the charging flow are matched, and statistics is respectively carried out according to the charging units and the charging road sections, and the statistical result of the data flow proportion of the charging path which is the shortest path but conflicts with the high-card information is shown in fig. 6.
The above description is only for the preferred embodiments of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art can substitute or change the technical solution of the present invention and the inventive concept within the scope of the present invention, which is disclosed by the present invention, and the equivalent or change thereof belongs to the protection scope of the present invention.
Claims (7)
1. A method for evaluating the accuracy of a charging rate of a highway by considering a charging path is characterized by comprising the following steps:
collecting highway toll flow data in a set evaluation period, and constructing a historical database for highway toll flow; importing a characteristic value table and a road section software development unit list, and constructing a rule database for evaluating the accuracy of the charging path;
preprocessing the collected highway toll flow data and the imported characteristic value table;
calculating a characteristic value table filtration rate index in the highway toll flow;
calculating the proportion of continuous missing marks and wrong judgment and processing of paths in the highway toll flow;
calculating the proportion of the charging paths in the charging flowing water of the expressway which lack the basis but are not the shortest paths;
and calculating the proportion of the charging path in the charging flowing water of the expressway which takes the shortest path but conflicts with the high-card path.
2. The method for evaluating the accuracy of the toll road rate in consideration of the toll path as claimed in claim 1, wherein the highway toll flow data comprises the following fields: an exit flow number, an entrance section number, an entrance station number, an entrance lane type, an entrance date and time, an exit section number, an exit station number, an exit lane type, an exit date and time, a license plate number, a vehicle type, a travel mileage, a charge amount, a free type code, original identification information, charge path information, a charge path section combination, and high-card path information;
the characteristic value table data contains the following fields: the system comprises a serial number, an identification point sequence, an exit road section number, an entrance road section number, an exit station number, an entrance station number, a 10-system error punctuation number, a 16-system exit road section station number and the condition of error mark;
the road section software development unit detail table data comprises: road section number, road section name, region, superior owner unit, MTC lane system development unit and ETC lane system development unit.
3. The method for evaluating the accuracy of the highway billing rate considering the toll collection path according to claim 1, wherein the data preprocessing of the collected highway toll flow data and the imported feature value table specifically comprises the following steps:
comparing the charging path information and the original identification information of the highway charging running water data, judging the charging running water with inconsistent charging running water as abnormal charging running water, defining the rest as normal charging running water, and then respectively storing;
and converting the 10-system error punctuation numbers in the characteristic value table into 16-system error punctuation numbers, and updating the 16-system error punctuation numbers into a field of 16-system error punctuation numbers.
4. The method for evaluating the accuracy of the toll rate of the highway according to the claim 3, wherein the step of calculating the filtering rate index of the characteristic value table in the toll flow of the highway specifically comprises the following steps:
firstly, performing pattern matching on each abnormal toll flow according to the identification point sequence, the entrance and exit road section number and the entrance and exit station number of the characteristic value table, judging the false mark point and the false mark belonging condition in the toll path, and screening out the toll flow filtered by the characteristic value table;
and matching the mistaken marked flowing water obtained in the step with the generation unit of each mistaken marked flowing water according to the exit road section number and the exit station number, and respectively counting according to the charging unit and the charging road section to obtain the characteristic value table filtering rate of the charging flowing water.
5. The method for evaluating the accuracy of the charging rate of the expressway according to claim 4, wherein the calculating of the continuous missing mark of the path in the expressway charging assembly line and the rate of the misjudgment processing specifically comprises the following steps:
1) because the charging path in the charging flow is presented in the form of the identification point string, the charging path and the charging path combination of the normal charging flow are utilized to carry out full sample learning, the identification point sequence relation among all the stations is summarized, and a topology logic database of the expressway network combined with the identification points is formed, wherein the topology logic database comprises four tables:
① table flagcomb _ entry, recording identification point string between entrance toll station and adjacent node on road section, the table contains fields of entrance road section number, entrance station number, 16-system next road section number, RFID label path combination between entrance station and node, ETC label path combination between entrance station and node;
② table flagcomb _ exit, recording identification point string between exit toll station and adjacent node on road section, the table contains fields of exit road section number, exit station number, 16-system last road section number, RFID label path combination between node and exit station, ETC label path combination between node and exit station;
③ table flagcomb _ btnode, recording identification point string between nodes on each road section, the table contains fields of 16-system road section number, 16-system previous road section number, 16-system next road section number, road section combination before and after the road section, RFID label path combination between node and exit station, ETC label path combination between node and exit station;
④ table roadcomb _ btoad, recording road section combination roadcomb between disjoint road sections, the table includes fields of starting road section number, ending road section number, 16-system starting road section number, 16-system ending road section number, and road section combination between starting point and ending point;
2) according to the four tables generated in the step 1), supplementing a complete toll path section combination roadcomb _ replay and a reconstructed toll path originalpath _ replay by combining an entrance section number, an entrance station number, an exit section number, an exit station number and original identification information of abnormal toll flow obtained in the process of preprocessing collected highway toll flow data;
3) comparing the acquired charging path section combination roadcomb _ remake and reconstructed charging path originalpath _ remake with the charging path information based on the charging path section combination roadcomb _ remake and the reconstructed charging path originalpath _ remake obtained in the step 2), judging whether the charging path of the running water is continuously missing three or more identification points, and marking the charging running water with the condition;
4) for the charging running water marked in the last step, positioning the front and rear identification points of the missed mark part in the charging path as possible error mark points, and respectively eliminating the possible error mark points in three conditions: removing the front error punctuations, the rear error punctuations and the front and rear error punctuations simultaneously, and restoring the charging paths under the three conditions based on the step 2);
5) comparing the original identification information in the charging running water with the three reconstructed charging paths restored in the step 4), wherein if one of the three reconstructed charging paths has no three or more continuous mark leakage points, the charging path of the charging running water has a mark error condition, and the charging software judges and processes the running water by errors;
6) based on the step 5), the filtering rate of the characteristic value table of the toll flow is referred, the generation unit of each wrong-mark flow is matched according to the serial number of the exit road section and the serial number of the exit station, the toll flow with continuous missing marks of the toll path and wrong judgment and processing is judged by the toll software according to the toll unit or the road section, and therefore the proportion of the toll flow with continuous missing marks and wrong judgment and processing in the path in the highway toll flow is calculated.
6. The method for evaluating the accuracy of the toll rate of the highway according to the claim 5, wherein the calculating the proportion of the toll path lack basis but not the shortest path in the toll flow of the highway specifically comprises the following steps:
firstly, comparing the original toll road section and road combination roadcomb in the toll flow based on the toll road section and road combination roadcomb _ replay obtained in the step 2), judging that the route is not the shortest route if the route is not consistent, and extracting the flow;
then, whether the inconsistent part of the flow path exists in the high-card path information is verified, if the high-card path information cannot support the toll path, the flow path is judged to be wrong;
and finally, referring to the filtering rate of the characteristic value table of the charging running water, matching the generation unit of each mis-marked running water according to the serial number of the exit road section and the serial number of the exit station, and counting the running water proportion of the charging path which is lack of basis but not the shortest path according to the charging unit or the road section.
7. The method for evaluating the accuracy of the toll rate of the highway according to the claim 5, wherein the calculating the proportion of the shortest toll path and the conflict with the high-speed path in the toll flow of the highway specifically comprises the following steps:
firstly, comparing the original charging road section and road combination roadcomb in the charging running water based on the charging road section and road combination roadcomb _ replay obtained in the step 2), if the charging road section and road combination roadcomb _ replay are consistent, judging that the route is the shortest route, and extracting the charging running water with the consistency of roadcomb and roadcomb _ replay;
then comparing the extracted charging path information of the charging running water with the high card path information, and if the charging path information of the charging running water conflicts with the high card path information, judging that the charging running water is wrong;
and finally, referring to the filtering rate of the characteristic value table of the toll flow, matching the generation unit of each mis-marked flow according to the serial number of the exit road section and the serial number of the exit station, and counting the flow proportion of the shortest path taken by the toll path and conflicting with the high-speed card path according to the toll unit or the road section.
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