CN112184931B - Vehicle charging path optimization system and analysis method based on highway network - Google Patents
Vehicle charging path optimization system and analysis method based on highway network Download PDFInfo
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- CN112184931B CN112184931B CN202011043216.8A CN202011043216A CN112184931B CN 112184931 B CN112184931 B CN 112184931B CN 202011043216 A CN202011043216 A CN 202011043216A CN 112184931 B CN112184931 B CN 112184931B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The invention discloses a vehicle charging path optimization system and an analysis method based on a highway network, relating to the analysis of vehicle charging paths of a highway free flow charging network; the system comprises: the vehicle charging path analysis subsystem, the vehicle traffic data acquisition terminal, the vehicle traffic data analysis subsystem and the GIS information processing subsystem are used for carrying out data interaction in an annular mode; the analysis method comprises the following steps: constructing a basic road network topological graph; collecting vehicle information and acquiring vehicle passing data; analyzing the vehicle passing data and classifying the vehicle passing data; screening vehicle passing data according to the optimal weight of the charging path, and drawing a vehicle entrance-exit priority charging path; and (4) depicting the vehicle entrance-exit preferred charging path on the visual map, and completing the vehicle entrance-exit complete preferred charging path. The invention obtains the vehicle charging optimal path in the road network according to the charging weight of each road section, thereby ensuring that the freeway flow charging management is more accurate, real and reliable.
Description
Technical Field
The invention relates to the technical field of vehicle charging path analysis, in particular to a vehicle charging path optimization system and an analysis method based on a highway network.
Background
In the traditional highway toll management, a set-in exit station, an entrance card taking and an exit card returning are arranged among different road sections, and the vehicle passing fee is calculated according to the shortest distance between two stations.
However, in the freeway toll collection management of the expressway which is being reformed and popularized at present, the traditional stations between different road sections are cancelled, and the traditional stations are converted into an electronic charging mode of whole network communication, so that a real and accurate passing path of a vehicle running in a road network needs to be obtained.
Disclosure of Invention
In view of the above problems in the prior art, the present invention provides a vehicle billing path optimization system and analysis method based on an expressway network, which obtains a vehicle billing optimized path in the network according to the billing weight of each road segment, thereby making the freeway flow billing management more accurate, real and reliable.
The invention discloses a vehicle charging path optimization system based on a highway network, which comprises the following steps:
the GIS information processing subsystem is used for constructing a basic road network topological graph through the geographic position information of road facilities on the expressway;
the vehicle passing data acquisition terminal performs data interaction with the GIS information processing subsystem and is used for acquiring vehicle information and acquiring vehicle passing data;
the vehicle passing data analysis subsystem is in data interaction with the vehicle passing data acquisition terminal and is used for analyzing the vehicle passing data and classifying the vehicle passing data;
the vehicle charging path analysis subsystem performs data interaction with the vehicle traffic data analysis subsystem and the GIS information processing subsystem, and is used for screening vehicle traffic data and drawing a vehicle entrance-exit priority charging path according to the optimal weight of the charging path; and the vehicle entrance-exit preferred charging path is depicted on a GIS information processing subsystem visual map, and the vehicle entrance-longitude-exit complete preferred charging path is completed.
As a further improvement of the invention, the vehicle passing data acquisition terminal is installed on the road facility, and the road facility comprises an entrance toll station, an exit toll station, an entrance section boundary portal frame, an exit section boundary portal frame and a road section middle portal frame.
The invention also discloses a vehicle charging path optimization analysis method based on the vehicle charging path optimization system, which comprises the following steps:
constructing a basic road network topological graph;
collecting vehicle information and acquiring vehicle passing data;
analyzing the vehicle passing data and classifying the vehicle passing data;
screening vehicle passing data according to the optimal weight of the charging path, and drawing a vehicle entrance-exit priority charging path; wherein, the charging path priority weight is the shortest distance or the least charging;
and drawing the vehicle entrance-exit preferred charging path on a visual map, and completing the vehicle entrance-exit complete preferred charging path.
As a further improvement of the present invention, the constructing of the basic road network topological graph includes:
inputting the space longitude and latitude positioning information of all entrance toll stations, exit toll stations, entrance section boundary gantries, exit section boundary gantries and section middle gantries of the expressway in a GIS space information system;
forming unique nodes of a road network by each entrance toll station, each exit toll station, each entry road section boundary portal frame, each exit road section boundary portal frame and each road section middle portal frame, and constructing a road network topology through the nodes;
according to the single-row running principle that the expressway can not turn around, adjacent nodes form reachable connecting lines;
and drawing a shortest distance priority road network topology and another minimum charging priority road network topology according to the charging path preference weight.
As a further improvement of the present invention, the acquiring vehicle information and acquiring vehicle traffic data includes:
collecting characteristic images of vehicles running through road network nodes, identifying license plates and license plate colors of the vehicles, identifying vehicle types, and recording vehicle passing time, running direction and road network node types; the road network node types comprise an entrance toll station, an exit toll station, an entrance section boundary portal frame, an exit section boundary portal frame and a road section middle portal frame;
and each road network node outputs a traffic data packet by taking a vehicle as a unit.
As a further improvement of the invention, the vehicle passing data is analyzed and classified; the method comprises the following steps:
converging vehicle traffic data of each road network node, and dividing the vehicle traffic data into two categories of boundary vehicle traffic data and non-boundary vehicle traffic data to obtain a boundary vehicle traffic data set and a non-boundary vehicle traffic data set;
and dividing the boundary vehicle passing data into boundary vehicle passing data and boundary vehicle passing data to obtain an entrance vehicle passing data subset and an exit vehicle passing data subset.
As a further improvement of the invention, according to the preferred weight of the charging path, vehicle passing data is screened, and a vehicle entrance-exit priority charging path is drawn; the method comprises the following steps:
any vehicle passing data is extracted from the boundary vehicle passing data set, and whether the data is entrance vehicle passing data or exit vehicle passing data is judged;
matching the same vehicle traffic data at the egress vehicle traffic data subset using the ingress vehicle traffic data; matching the same vehicle traffic data at the ingress vehicle traffic data subset using the egress vehicle traffic data;
and obtaining a road network node result matched with the traffic data of the vehicles entering and leaving the exit, and describing the preferred charging path of the vehicles entering and leaving the exit according to the priority weight of the charging path.
As a further refinement of the invention, said using the ingress vehicle traffic data, matching the same vehicle traffic data at the egress vehicle traffic data subset; matching the same vehicle traffic data at the ingress vehicle traffic data subset using the egress vehicle traffic data; the method comprises the following steps:
filtering data with inconsistent vehicle information;
filtering data of which the entry time is greater than the exit time or the exit time is less than the entry time;
filtering road network nodes which are inaccessible on GIS spatial information, and driving in a single direction is irreversible;
and filtering abnormal driving speed data among the nodes of the road network, and dividing the distance between two road network nodes by the vehicle entrance-exit time difference to obtain the average driving speed, wherein the abnormal driving speed data are abnormal traffic data.
As a further improvement of the present invention, the vehicle entering-exiting preferred charging path is depicted on a visual map, and the vehicle entering-passing-exiting complete preferred charging path is completed; the method comprises the following steps:
screening matched vehicle traffic data in the non-boundary vehicle traffic data set by using vehicle traffic data matched with the vehicle traffic data of the entrance-exit;
and supplementing segment road section nodes of the vehicle entering-exiting preferred charging path by using the screened matched correct vehicle passing data to obtain a complete vehicle entering-passing-exiting preferred charging path.
As a further improvement of the invention, the matched vehicle traffic data is screened in the non-boundary vehicle traffic data set by using matched vehicle traffic data of the entrance-exit vehicle traffic data; the method comprises the following steps:
filtering data with inconsistent vehicle information;
filtering data of which the passing time is not in the in-out time period or data of which the out-time is less than the in-time;
the screened data are arranged in an ascending order according to the time from a single road network node to an entrance road network node, and a data sequence is obtained;
extracting first data of each road network node data sequence from the data sequences to form road network node data sequences;
in the road network node data sequence, filtering road network nodes which are inaccessible in GIS spatial information, and driving in a unidirectional mode is irreversible;
and checking data of abnormal running speed, and dividing the distance between two network nodes by the vehicle in-out time difference to obtain the average running speed, wherein the abnormal running speed is abnormal traffic data.
Compared with the prior art, the invention has the beneficial effects that:
the invention constructs the highway toll road network on the GIS spatial information system visual map, outputs the optimal charging path of the passing vehicle in the road network, and has the advantages of analysis optimization, integrity and reliability of the vehicle charging path.
Drawings
Fig. 1 is a block diagram of a preferred system for vehicle billing path based on highway network according to an embodiment of the present invention;
fig. 2 is a flowchart of a preferred analysis method for vehicle charging paths based on a highway network according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the following drawings:
as shown in fig. 1, the present invention provides a vehicle charging path optimization system based on a highway network, comprising: the system comprises a vehicle charging path analysis subsystem, a vehicle traffic data acquisition terminal, a vehicle traffic data analysis subsystem and a GIS information processing subsystem; wherein:
the GIS information processing subsystem is used for constructing a basic road network topological graph through the geographic position information of road facilities on the expressway; the road facility comprises an entrance toll station, an exit toll station, an entrance section boundary portal frame, an exit section boundary portal frame and a road section middle portal frame; the specific construction method comprises the following steps:
inputting the space longitude and latitude positioning information of all entrance toll stations, exit toll stations, entrance section boundary gantries, exit section boundary gantries and section middle gantries of the expressway in a GIS space information system; forming unique nodes of a road network by each entrance toll station, each exit toll station, each entry road section boundary portal frame, each exit road section boundary portal frame and each road section middle portal frame, and constructing a road network topology through the nodes; according to the one-way driving principle that the expressway can not turn around, the adjacent nodes form a reachable connecting line; and drawing a shortest distance priority road network topology and another minimum charging priority road network topology according to the charging path preference weight.
The vehicle traffic data acquisition terminal and the GIS information processing subsystem carry out data interaction through a set protocol and are used for acquiring vehicle information and acquiring vehicle traffic data; the vehicle passing data acquisition terminal is installed on road facilities. The specific implementation method comprises the following steps:
collecting characteristic images of vehicles driving through road network nodes, identifying license plates and license plate colors of the vehicles, identifying vehicle types, and recording vehicle passing time, driving direction and road network node types; the road network node types comprise an entrance toll station, an exit toll station, an entrance section boundary portal frame, an exit section boundary portal frame and a road section middle portal frame; and each road network node outputs a traffic data packet by taking a vehicle as a unit.
The vehicle traffic data analysis subsystem and the vehicle traffic data acquisition terminal perform data interaction through a set protocol and are used for analyzing vehicle traffic data and classifying the vehicle traffic data; the specific implementation method comprises the following steps:
converging vehicle traffic data of each road network node, and dividing the vehicle traffic data into two categories of boundary vehicle traffic data and non-boundary vehicle traffic data to obtain a boundary vehicle traffic data set and a non-boundary vehicle traffic data set; and dividing the boundary vehicle passing data into boundary vehicle passing data and boundary vehicle passing data to obtain an entrance vehicle passing data subset and an exit vehicle passing data subset.
The vehicle charging path analysis subsystem, the vehicle traffic data analysis subsystem and the GIS information processing subsystem carry out data interaction through a set protocol, and are used for screening vehicle traffic data according to the charging path preference weight and drawing a vehicle entrance-exit priority charging path; and the vehicle entrance-exit preferred charging path is depicted on a GIS information processing subsystem visual map, and the vehicle entrance-longitude-exit complete preferred charging path is completed. Wherein, the first and the second end of the pipe are connected with each other,
the specific method for drawing the vehicle entrance-exit priority charging path comprises the following steps:
any vehicle passing data is extracted from the boundary vehicle passing data set, and whether the data is entrance vehicle passing data or exit vehicle passing data is judged; using the ingress vehicle traffic data, matching the same vehicle traffic data at the egress vehicle traffic data subset; matching the same vehicle traffic data at the ingress vehicle traffic data subset using the egress vehicle traffic data; and obtaining a road network node result matched with the traffic data of the vehicles entering and leaving the exit, and describing the preferred charging path of the vehicles entering and leaving the exit according to the priority weight of the charging path.
The concrete method for completing the vehicle entering-passing-exiting complete preferred charging path comprises the following steps: screening the non-boundary vehicle traffic data set for matched vehicle traffic data using the matched vehicle traffic data of the ingress-egress vehicle traffic data; and supplementing segment road section nodes of the vehicle entering-exiting preferred charging path by using the screened matched correct vehicle passing data to obtain the vehicle entering-passing-exiting complete preferred charging path.
As shown in fig. 2, the present invention also discloses a vehicle charging path optimization analysis method based on the vehicle charging path optimization system, which includes:
step 1, constructing a basic road network topological graph;
the method specifically comprises the following steps:
step 11, inputting the space longitude and latitude positioning information of all entrance toll stations, exit toll stations, entrance section boundary gantries, exit section boundary gantries and road section middle gantries of the expressway in a GIS (geographic information System);
step 12, forming unique nodes of a road network by each entrance toll station, each exit toll station, each entrance section boundary portal frame, each exit section boundary portal frame and each road section middle portal frame, and constructing a road network topology through the nodes;
step 13, according to a single-row driving principle that the expressway can not turn around, adjacent nodes form reachable connecting lines;
and step 14, drawing a shortest distance priority road network topology and another minimum charging priority road network topology according to the charging path preference weight.
Step 2, collecting vehicle information and acquiring vehicle passing data;
the method specifically comprises the following steps:
step 21: the intelligent vehicle passing data acquisition device is arranged on each road network node and is used for acquiring vehicle characteristic images of vehicles passing through the road network nodes, identifying license plates and license plate colors of the vehicles, identifying vehicle types, and recording vehicle passing time, driving directions and road network node types (entrance toll stations, exit toll stations, boundary portal frames of road sections and intermediate portal frames of road sections);
step 22: and each road network node outputs a traffic data packet by taking a vehicle as a unit.
Step 3, analyzing the vehicle passing data and classifying the vehicle passing data;
the method specifically comprises the following steps:
step 31, converging vehicle traffic data of each road network node, and dividing the vehicle traffic data into two categories of boundary vehicle traffic data and non-boundary vehicle traffic data to obtain a boundary vehicle traffic data set and a non-boundary vehicle traffic data set;
and 32, dividing the boundary vehicle passing data into boundary vehicle passing data and boundary vehicle passing data to obtain an entrance vehicle passing data subset and an exit vehicle passing data subset.
Step 4, screening vehicle passing data according to the optimal weight of the charging path, and drawing a vehicle entrance-exit priority charging path; wherein, the priority weight of the charging path is the shortest distance or the least charging;
the method specifically comprises the following steps:
step 41, extracting any vehicle passing data from the boundary vehicle passing data set, and judging whether the vehicle passing data is entrance vehicle passing data or exit vehicle passing data;
step 42, using the entry vehicle traffic data, matching the same vehicle traffic data at the exit vehicle traffic data subset; matching the same vehicle traffic data at the ingress vehicle traffic data subset using the egress vehicle traffic data; wherein the content of the first and second substances,
further comprising:
step 421, filtering data (license plate number, license plate color and vehicle type) with inconsistent vehicle information;
step 422, filtering data of which the entry time is greater than the exit time or data of which the exit time is less than the entry time;
step 423, filtering the inaccessible road network nodes on the GIS spatial information, and driving in a single direction irreversibly;
step 424, filtering abnormal driving speed data among road network nodes, and dividing the distance between two road network nodes by the vehicle entrance-exit time difference to obtain the average driving speed, wherein the abnormal driving speed is abnormal traffic data which can be filtered;
and 43, obtaining a road network node result matched with the traffic data of the vehicles entering and leaving the entrance and exit, and describing a preferred charging path of the vehicles entering and leaving the entrance and exit according to the priority weight of the charging path.
Step 5, drawing the vehicle entrance-exit preferred charging path on a visual map, and completing the vehicle entrance-exit complete preferred charging path;
the method specifically comprises the following steps:
step 51, screening matched vehicle passing data in a non-boundary vehicle passing data set by using vehicle passing data matched with the vehicle passing data of the entrance-exit;
further comprising:
step 511, filtering data (license plate number, license plate color and vehicle type) with inconsistent vehicle information;
step 512, filtering data with the passage time not in the in-out time period or data with the out-out time less than the in-out time;
step 513, the data screened in step 512 are arranged in ascending order according to the time from the single road network node to the entrance road network node;
step 514, in the step 513, extracting a first piece of data of each road network node data sequence to form a road network node data sequence;
step 515, in the data sequence of step 514, filtering the inaccessible road network nodes on the GIS spatial information, and driving in a unidirectional mode is irreversible;
step 516, checking abnormal data of the running vehicle speed, and dividing the distance between two network nodes by the vehicle in-out time difference to obtain the average running vehicle speed, wherein the abnormal data of the vehicle speed is abnormal traffic data and can be filtered;
and step 52, supplementing segment road section nodes of the vehicle entering-exiting preferred charging path by using the screened matched correct vehicle passing data, and obtaining a complete vehicle entering-passing-exiting preferred charging path.
The invention has the advantages that:
the invention constructs the highway toll road network on the GIS spatial information system visual map, outputs the optimal charging path of the passing vehicle in the road network, and has the advantages of analysis optimization, integrity and reliability of the vehicle charging path.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A vehicle charging path optimization system based on a highway network is characterized by comprising the following components:
the GIS information processing subsystem is used for constructing a basic road network topological graph through the geographic position information of road facilities on the expressway, and drawing a shortest distance priority road network topology and another shortest charging priority road network topology according to the charging path optimal weight;
the vehicle passing data acquisition terminal performs data interaction with the GIS information processing subsystem and is used for acquiring vehicle information and acquiring vehicle passing data;
the vehicle information comprises characteristic images of vehicles driving through road network nodes, license plates and license plate colors of the vehicles are identified, vehicle types are identified, and vehicle passing time, driving directions and road network node types are recorded;
the road network node types comprise an entrance toll station, an exit toll station, an entrance section boundary portal frame, an exit section boundary portal frame and a road section middle portal frame;
the vehicle traffic data analysis subsystem is in data interaction with the vehicle traffic data acquisition terminal and is used for analyzing the vehicle traffic data, classifying the vehicle traffic data into a boundary vehicle traffic data set and a non-boundary vehicle traffic data set, and dividing the boundary vehicle traffic data set into boundary vehicle traffic data and boundary vehicle traffic data to obtain an entrance vehicle traffic data subset and an exit vehicle traffic data subset;
the vehicle charging path analysis subsystem carries out data interaction with the vehicle traffic data analysis subsystem and the GIS information processing subsystem, and is used for screening vehicle traffic data according to the optimal weight of a charging path, drawing a vehicle entrance-exit priority charging path and describing the vehicle entrance-exit priority charging path on a visual map of the GIS information processing subsystem;
screening the non-boundary vehicle traffic data set for matched vehicle traffic data using the matched vehicle traffic data of the ingress-egress vehicle traffic data; and supplementing segment road section nodes of the vehicle entering-exiting preferred charging path by using the screened matched and correct vehicle passing data, thereby completing the vehicle entering-passing-exiting complete preferred charging path.
2. The vehicle billing path optimization system of claim 1 wherein the vehicle transit data collection terminal is mounted on the roadway facility, the roadway facility including an entrance toll booth, an exit toll booth, an entrance roadway boundary portal, an exit roadway boundary portal, and a road section intermediate portal.
3. A vehicle charging path preference analysis method based on the vehicle charging path preference system according to any one of claims 1 to 2, comprising:
constructing a basic road network topological graph;
the constructing of the basic road network topological graph comprises the following steps:
inputting the space longitude and latitude positioning information of all entrance toll stations, exit toll stations, entrance section boundary gantries, exit section boundary gantries and section middle gantries of the expressway in a GIS space information system;
forming unique nodes of a road network by each entrance toll station, each exit toll station, each entry road section boundary portal frame, each exit road section boundary portal frame and each road section middle portal frame, and constructing a road network topology through the nodes;
according to the one-way driving principle that the expressway can not turn around, the adjacent nodes form a reachable connecting line;
drawing a shortest distance priority road network topology and another minimum charging priority road network topology according to the charging path preference weight;
collecting vehicle information and acquiring vehicle passing data;
analyzing the vehicle passing data and classifying the vehicle passing data;
the method specifically comprises the following steps:
converging vehicle traffic data of each road network node, and dividing the vehicle traffic data into two categories of boundary vehicle traffic data and non-boundary vehicle traffic data to obtain a boundary vehicle traffic data set and a non-boundary vehicle traffic data set;
dividing the boundary vehicle passing data into boundary vehicle passing data and boundary vehicle passing data to obtain an entrance vehicle passing data subset and an exit vehicle passing data subset;
screening vehicle passing data according to the optimal weight of the charging path, and drawing a vehicle entrance-exit priority charging path; wherein, the preferred weight of the charging path is the shortest distance or the least charging;
the method specifically comprises the following steps:
any vehicle passing data is extracted from the boundary vehicle passing data set, and whether the data is entrance vehicle passing data or exit vehicle passing data is judged;
matching the same vehicle traffic data at the egress vehicle traffic data subset using the ingress vehicle traffic data; matching the same vehicle traffic data at the ingress vehicle traffic data subset using the egress vehicle traffic data;
obtaining a road network node result matched with the traffic data of the vehicles entering and leaving the entrance and exit, and describing the preferred charging path of the vehicles entering and leaving the entrance and exit according to the preferred weight of the charging path;
drawing the vehicle entrance-exit preferred charging path on a visual map, and completing the vehicle entrance-exit complete preferred charging path;
the method specifically comprises the following steps:
screening the non-boundary vehicle traffic data set for matching vehicle traffic data using ingress-egress vehicle traffic data matching vehicle traffic data;
supplementing segment road section nodes of the vehicle entering-exiting preferred charging path by using the screened matched correct vehicle passing data to obtain a complete vehicle entering-passing-exiting preferred charging path;
the screening of the non-boundary vehicle traffic data set for matched vehicle traffic data using ingress-egress vehicle traffic data matched vehicle traffic data; the method comprises the following steps:
filtering data with inconsistent vehicle information;
filtering data of which the passing time is not in the in-out time period or data of which the out-time is less than the in-time;
the screened data are arranged in an ascending order according to the time from a single road network node to an entrance road network node, and a data sequence is obtained;
extracting a first piece of data of each road network node data sequence from the data sequences to form a road network node data sequence;
in the road network node data sequence, filtering road network nodes which are inaccessible in GIS spatial information, and driving in a unidirectional mode is irreversible;
and checking data of abnormal running speed, and dividing the distance between two network nodes by the vehicle in-out time difference to obtain the average running speed, wherein the abnormal running speed is abnormal traffic data.
4. The method for analyzing vehicle billing path preference according to claim 3, wherein the collecting vehicle information and obtaining vehicle traffic data comprises:
collecting characteristic images of vehicles driving through road network nodes, identifying license plates and license plate colors of the vehicles, identifying vehicle types, and recording vehicle passing time, driving direction and road network node types; the road network node types comprise an entrance toll station, an exit toll station, an entrance section boundary portal frame, an exit section boundary portal frame and a road section middle portal frame;
and each road network node outputs a traffic data packet by taking a vehicle as a unit.
5. The vehicle billing path preference analysis method of claim 3 wherein the using the ingress vehicle traffic data matches the same vehicle traffic data at the egress vehicle traffic data subset; matching the same vehicle traffic data at the ingress vehicle traffic data subset using the egress vehicle traffic data; the method comprises the following steps:
filtering data with inconsistent vehicle information;
filtering data of which the entry time is greater than the exit time or the exit time is less than the entry time;
filtering road network nodes which are inaccessible on GIS spatial information, and driving in a single direction is irreversible;
and filtering abnormal driving speed data among the nodes of the road network, and dividing the distance between two road network nodes by the vehicle entrance-exit time difference to obtain the average driving speed, wherein the abnormal driving speed data are abnormal traffic data.
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| CN114758493B (en) * | 2022-03-21 | 2024-03-12 | 山东省交通规划设计院集团有限公司 | Expressway traffic flow monitoring method and system based on data fusion |
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