CN105225494A - Based on the Vehicle tracing method and apparatus of electronic police data - Google Patents
Based on the Vehicle tracing method and apparatus of electronic police data Download PDFInfo
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Abstract
The invention provides a kind of Vehicle tracing method based on electronic police data, comprising: car data crossed by all electronic polices obtaining some day, and by all data by license plate number classification, reject all data of this class of license plate number='--'; To all the other the class data after rejecting, each class data is by ascending sequence aforementioned detection time; Data after the sequence of a certain class are processed, supposes to have bar data, then obtain adjacent two detection times and difference; Find all of the time threshold being greater than setting, and find the kth bar data of all correspondences and kth+1 data to divide into groups; All integrated datas are processed; To the data through rejecting all classes after data, processing in the manner aforesaid, finally obtaining and exporting the general track data of each vehicle.Utilize the present invention can obtain the driving trace of vehicle when only knowing electronic police data, real-time track tracking is carried out to vehicle.
Description
Technical field
The present invention relates to technical field of vehicle navigation, in particular to a kind of Vehicle tracing method and apparatus based on electronic police data.
Background technology
The track following of existing most of vehicle is based on GPS locator data, and the longitude and latitude carried out is followed the tracks of.But the tracked vehicle of the tracer request based on GPS must have GPS locating device, and constantly uploads gps data, and is acquired, enough real-time track following can be carried out to it.In addition, because gps data itself all can exist certain error, when carrying out route matching, this inevitable error eliminated by needs as far as possible, and this is disadvantageous for navigation.Therefore, having GPS or do not arranging in the vehicle of GPS locating device, the track relying on GPS locator data to obtain vehicle is separately not enough, also wishes to obtain track of vehicle by other mode.
Summary of the invention
The object of the invention is to provide a kind of Vehicle tracing method and apparatus based on electronic police data, is beneficial to electronic police data to realize the real-time follow-up to vehicle driving trace and acquisition.
Above-mentioned purpose of the present invention is realized by the technical characteristic of independent claims, and dependent claims develops the technical characteristic of independent claims with alternative or favourable mode.
For reaching above-mentioned purpose, the present invention proposes a kind of Vehicle tracing method based on electronic police data, comprises the following steps:
Step 1, obtain all electronic polices of some day and cross car data, and by all data by license plate number classification, reject all data of this class of license plate number='--', wherein, these electronic polices are crossed car data and are comprised: section numbering, detection time, license plate number, type of vehicle, car plate color, the speed of a motor vehicle and checkout equipment ID;
Step 2, to all the other the class data after rejecting, each class data is by aforementioned detection time (TIMESTAMP) ascending sequence;
Step 3, the data after the sequence of a certain class to be processed, supposes to have n bar data, then obtain adjacent two detection time t
iand t
i+1poor Δ t
i=t
i+1-t
i, i=1,2 ..., n-1;
Step 4, find the time threshold T being greater than setting
preall t
k+1, and find kth bar data and kth+1 data of all correspondences; Suppose total m bar data, m>=0, such Article 1 data and the last item data are added, and after removing repeating data, to remaining data by after sequence aforementioned detection time, using Article 1 and Article 2 data as one group, Article 3 and Article 4 data are as one group, between two one group successively, if last unnecessary data, then delete these data;
Step 5, to a certain group of data in step 4 between two in the data of a group, license plate number is existed in the car plate of intermediate data, by detection time, the detection time of data is early kept in the starting time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, find the downstream road junction ID of this road section ID, be kept at the starting point crossing of intermediate data; The detection time of the data in evening detection time is kept in the terminal time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, finds the downstream road junction ID of this road section ID, be kept at the terminal crossing of intermediate data; Find and belong to all data of starting time to terminal time detection time in such, by the road section ID of every bar data, the downstream road junction ID of this road section ID is found from MD_SEGMENT table, by these downstream road junction ID and starting point crossing, terminal crossing, by priority detection time of every bar data, exists by way of crossing field as an array; Wherein, aforesaid MD_SEGMENT table is digital road network information storage list, have recorded crossing, road upstream and the downstream road junction information of road section ID and correspondence in this table;
Step 6, each group integrated data step 4 obtained all process according to step 5, and all groups of data processings are complete;
Step 7, to the data rejecting all classes after data through step 2, to process by step 3-step 6, finally obtain and export the general track data of each vehicle.
In further embodiment, the general track data of each vehicle that abovementioned steps 7 exports comprises: license plate number, starting point crossing and starting time, terminal crossing and terminal time, all by way of crossing and by way of crossing time (with crossing one_to_one corresponding).
According to improvement of the present invention, also propose a kind of Vehicle tracing device based on electronic police data, comprising:
Car data crossed by all electronic polices for obtaining some day, and by all data by license plate number classification, reject the module of all data of this class of license plate number='--', wherein, these electronic polices are crossed car data and are comprised: section numbering, detection time, license plate number, type of vehicle, car plate color, the speed of a motor vehicle and checkout equipment ID;
For to all the other the class data after rejecting, by the module of aforementioned detection time (TIMESTAMP) ascending sequence;
For the module processed the data after the sequence of a certain class, this module is configured to process in the following manner: suppose to have n bar data, then obtain adjacent two detection time t
iand t
i+1poor Δ t
i=t
i+1-t
i, i=1,2 ..., n-1;
For finding the time threshold T being greater than setting
preall t
k+1and find the kth bar data of all correspondences and kth+1 number to carry out the module processed according to this, this module is configured to process in the following manner: suppose total m bar data, m>=0, such Article 1 data and the last item data are added, and after removing repeating data, to remaining data by after aforementioned sequence detection time, using Article 1 and Article 2 data as one group, Article 3 and Article 4 data are as one group, between two one group successively, if last unnecessary data, then delete these data;
For the module processed aforementioned groupings data, this module is configured to process in the following manner: by a certain group of data in the aforementioned data of a group between two, license plate number is existed in the car plate of intermediate data, by detection time, the detection time of data is early kept in the starting time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, find the downstream road junction ID of this road section ID, be kept at the starting point crossing of intermediate data; The detection time of the data in evening detection time is kept in the terminal time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, finds the downstream road junction ID of this road section ID, be kept at the terminal crossing of intermediate data; Find and belong to all data of starting time to terminal time detection time in such, by the road section ID of every bar data, the downstream road junction ID of this road section ID is found from MD_SEGMENT table, by these downstream road junction ID and starting point crossing, terminal crossing, by priority detection time of every bar data, exists by way of crossing field as an array; Wherein, aforesaid MD_SEGMENT table is digital road network information storage list, have recorded crossing, road upstream and the downstream road junction information of road section ID and correspondence in this table;
Each group integrated data for obtaining aforementioned all carries out processing according to aforementioned manner until the complete module of all groups of data processings;
For to the aforementioned data through rejecting all classes after data, processing by aforementioned groupings data processing method, finally exporting the module of the general track data of each vehicle.
As long as should be appreciated that aforementioned concepts and all combinations of extra design described in further detail below can be regarded as a part for subject matter of the present disclosure when such design is not conflicting.In addition, all combinations of theme required for protection are all regarded as a part for subject matter of the present disclosure.
The foregoing and other aspect of the present invention's instruction, embodiment and feature can be understood by reference to the accompanying drawings from the following description more all sidedly.Feature and/or the beneficial effect of other additional aspect of the present invention such as illustrative embodiments will be obvious in the following description, or by learning in the practice of the embodiment according to the present invention's instruction.
Accompanying drawing explanation
Accompanying drawing is not intended to draw in proportion.In the accompanying drawings, each identical or approximately uniform ingredient illustrated in each figure can represent with identical label.For clarity, in each figure, not each ingredient is all labeled.Now, the embodiment of various aspects of the present invention also will be described with reference to accompanying drawing by example, wherein:
Fig. 1 is the process flow diagram of the Vehicle tracing method based on electronic police data according to certain embodiments of the invention.
Embodiment
In order to more understand technology contents of the present invention, institute's accompanying drawings is coordinated to be described as follows especially exemplified by specific embodiment.
Each side with reference to the accompanying drawings to describe the present invention in the disclosure, shown in the drawings of the embodiment of many explanations.Embodiment of the present disclosure must not be intended to comprise all aspects of the present invention.Be to be understood that, multiple design presented hereinbefore and embodiment, and describe in more detail below those design and embodiment can in many ways in any one is implemented, this is because design disclosed in this invention and embodiment are not limited to any embodiment.In addition, aspects more disclosed by the invention can be used alone, or otherwisely anyly appropriately combinedly to use with disclosed by the invention.
On the whole, the Vehicle tracing method based on electronic police data that the present invention proposes, that car data crossed by the electronic police gathered based on electronics police device on road, by certain data clusters and process, directly obtain the driving trace of vehicle, can also follow the tracks of vehicle real-time track in real time.
Shown in composition graphs 1, according to embodiments of the invention, Vehicle tracing method comprises the following steps:
Step 1, obtain all electronic polices of some day and cross car data, and by all data by license plate number classification, reject all data of this class of license plate number='--', wherein, these electronic polices are crossed car data and are comprised: section numbering, detection time, license plate number, type of vehicle, car plate color, the speed of a motor vehicle and checkout equipment ID;
Step 2, to all the other the class data after rejecting, each class data is by aforementioned detection time (TIMESTAMP) ascending sequence;
Step 3, the data after the sequence of a certain class to be processed, supposes to have n bar data, then obtain adjacent two detection time t
iand t
i+1poor Δ t
i=t
i+1-t
i, i=1,2 ..., n-1;
Step 4, find the time threshold T being greater than setting
preall t
k+1, and find kth bar data and kth+1 data of all correspondences; Suppose total m bar data, m>=0, such Article 1 data and the last item data are added, and after removing repeating data, to remaining data by after sequence aforementioned detection time, using Article 1 and Article 2 data as one group, Article 3 and Article 4 data are as one group, between two one group successively, if last unnecessary data, then delete these data;
Step 5, to a certain group of data in step 4 between two in the data of a group, license plate number is existed in the car plate of intermediate data, by detection time, the detection time of data is early kept in the starting time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, find the downstream road junction ID of this road section ID, be kept at the starting point crossing of intermediate data; The detection time of the data in evening detection time is kept in the terminal time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, finds the downstream road junction ID of this road section ID, be kept at the terminal crossing of intermediate data; Find and belong to all data of starting time to terminal time detection time in such, by the road section ID of every bar data, the downstream road junction ID of this road section ID is found from MD_SEGMENT table, by these downstream road junction ID and starting point crossing, terminal crossing, by priority detection time of every bar data, exists by way of crossing field as an array; Wherein, aforesaid MD_SEGMENT table is digital road network information storage list, have recorded crossing, road upstream and the downstream road junction information of road section ID and correspondence in this table;
Step 6, each group integrated data step 4 obtained all process according to step 5, and all groups of data processings are complete;
Step 7, to the data rejecting all classes after data through step 2, to process by step 3-step 6, finally obtain and export the general track data of each vehicle.
In some instances, car data crossed by the electronic police in abovementioned steps 1, has more new data p.s., and these are data from the electronic police equipment in each section being deployed in road, such as high-definition camera, speed measuring equipment etc.In some optional examples, these cross the content (containing storage format) that car data comprises following table.
In conjunction with the process of abovementioned steps, the general track data of each vehicle that step 7 exports comprises: license plate number, starting point crossing and starting time, terminal crossing and terminal time, all by way of crossing and by way of crossing time (with the crossing one_to_one corresponding of approach).
In some instances, these general track datas exported comprise the content (containing storage format) of following table.
Visible, when there is no gps data when only having electronic police data, utilizing the algorithm of previous embodiment directly can follow the tracks of the driving trace of vehicle, realizing carrying out track following to each vehicle accurately.
In some optional examples, abovementioned steps 4 comprises the following steps more:
Preset aforesaid time threshold T
pre.
Preferably, the time threshold T in abovementioned steps 4
prebe set as 3600s.
According to the disclosure, also relate to a kind of Vehicle tracing device based on electronic police data, comprising:
Car data crossed by all electronic polices for obtaining some day, and by all data by license plate number classification, reject the module of all data of this class of license plate number='--', wherein, these electronic polices are crossed car data and are comprised: section numbering, detection time, license plate number, type of vehicle, car plate color, the speed of a motor vehicle and checkout equipment ID;
For to all the other the class data after rejecting, by the module of aforementioned detection time (TIMESTAMP) ascending sequence;
For the module processed the data after the sequence of a certain class, this module is configured to process in the following manner: suppose to have n bar data, then obtain adjacent two detection time t
iand t
i+1poor Δ t
i=t
i+1-t
i, i=1,2 ..., n-1;
For finding the time threshold T being greater than setting
preall t
k+1, and finding the kth bar data of all correspondences and kth+1 number to carry out the module processed according to this, this module is configured to process in the following manner: suppose total m bar data, m>=0, by such Article 1
Data and the last item data add, and after removing repeating data, to remaining data by after aforementioned sequence detection time, using Article 1 and Article 2 data as one group, Article 3 and Article 4 data as one group, between two one group successively, if finally unnecessary data, then delete these data;
For the module processed aforementioned groupings data, this module is configured to process in the following manner: by a certain group of data in the aforementioned data of a group between two, license plate number is existed in the car plate of intermediate data, by detection time, the detection time of data is early kept in the starting time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, find the downstream road junction ID of this road section ID, be kept at the starting point crossing of intermediate data; The detection time of the data in evening detection time is kept in the terminal time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, finds the downstream road junction ID of this road section ID, be kept at the terminal crossing of intermediate data; Find and belong to all data of starting time to terminal time detection time in such, by the road section ID of every bar data, the downstream road junction ID of this road section ID is found from MD_SEGMENT table, by these downstream road junction ID and starting point crossing, terminal crossing, by priority detection time of every bar data, exists by way of crossing field as an array; Wherein, aforesaid MD_SEGMENT table is digital road network information storage list, have recorded crossing, road upstream and the downstream road junction information of road section ID and correspondence in this table;
Each group integrated data for obtaining aforementioned all carries out processing according to aforementioned manner until the complete module of all groups of data processings;
For to the aforementioned data through rejecting all classes after data, processing by aforementioned groupings data processing method, finally exporting the module of the general track data of each vehicle.
Be to be understood that, modules in the Vehicle tracing device that the present embodiment proposes, its function, effect and effect are illustrated in the description of the above Vehicle tracing method based on electronic police data, its implementation and done exemplary illustration in the aforementioned embodiment about Vehicle tracing method, does not repeat them here.
In further embodiment, aforesaid time threshold T
prebe set as 3600s.
In further embodiment, aforementioned for the data to aforementioned all classes after rejecting data, process by aforementioned groupings data processing method, finally export the module of the general track data of each vehicle, its data finally exported comprise: the license plate number of each vehicle, starting point crossing and starting time, terminal crossing and terminal time, all by way of crossing and by way of crossing time (with crossing one_to_one corresponding).
Although the present invention with preferred embodiment disclose as above, so itself and be not used to limit the present invention.Persond having ordinary knowledge in the technical field of the present invention, without departing from the spirit and scope of the present invention, when being used for a variety of modifications and variations.Therefore, protection scope of the present invention is when being as the criterion depending on those as defined in claim.
Claims (7)
1., based on a Vehicle tracing method for electronic police data, it is characterized in that, comprise the following steps:
Step 1, obtain all electronic polices of some day and cross car data, and by all data by license plate number classification, reject all data of this class of license plate number='--', wherein, these electronic polices are crossed car data and are comprised: section numbering, detection time, license plate number, type of vehicle, car plate color, the speed of a motor vehicle and checkout equipment ID;
Step 2, to all the other the class data after rejecting, each class data is by ascending sequence aforementioned detection time;
Step 3, the data after the sequence of a certain class to be processed, supposes to have n bar data, then obtain adjacent two detection time t
iand t
i+1poor Δ t
i=t
i+1-t
i, i=1,2 ..., n-1;
Step 4, find the time threshold T being greater than setting
preall t
k+1, k>=0, and kth bar data and kth+1 data of finding all correspondences; Suppose total m bar data, m>=0, such Article 1 data and the last item data are added, and after removing repeating data, to remaining data by after sequence aforementioned detection time, using Article 1 and Article 2 data as one group, Article 3 and Article 4 data are as one group, between two one group successively, if last unnecessary data, then delete these data;
Step 5, to a certain group of data in step 4 between two in the data of a group, license plate number is existed in the car plate of intermediate data, by detection time, the detection time of data is early kept in the starting time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, find the downstream road junction ID of this road section ID, be kept at the starting point crossing of intermediate data; The detection time of the data in evening detection time is kept in the terminal time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, finds the downstream road junction ID of this road section ID, be kept at the terminal crossing of intermediate data; Find and belong to all data of starting time to terminal time detection time in such, by the road section ID of every bar data, the downstream road junction ID of this road section ID is found from MD_SEGMENT table, by these downstream road junction ID and starting point crossing, terminal crossing, by priority detection time of every bar data, exists by way of crossing field as an array; Wherein, aforesaid MD_SEGMENT table is digital road network information storage list, have recorded crossing, road upstream and the downstream road junction information of road section ID and correspondence in this table;
Step 6, each group integrated data step 4 obtained all process according to step 5, and all groups of data processings are complete;
Step 7, to the data rejecting all classes after data through step 2, to process by step 3-step 6, finally obtain and export the general track data of each vehicle.
2. the Vehicle tracing method based on electronic police data according to claim 1, it is characterized in that, the general track data of each vehicle that abovementioned steps 7 exports comprises: license plate number, starting point crossing and starting time, terminal crossing and terminal time, all by way of crossing and by way of the crossing time, wherein said approach crossing time and crossing one_to_one corresponding.
3., according to the Vehicle tracing method based on electronic police data according to claim 1, it is characterized in that, abovementioned steps 4 comprises the following steps more:
Preset aforesaid time threshold T
pre.
4. according to the Vehicle tracing method based on electronic police data according to claim 1, it is characterized in that, the time threshold T in abovementioned steps 4
prebe set as 3600s.
5., based on a Vehicle tracing device for electronic police data, it is characterized in that, comprising:
Car data crossed by all electronic polices for obtaining some day, and by all data by license plate number classification, reject the module of all data of this class of license plate number='--', wherein, these electronic polices are crossed car data and are comprised: section numbering, detection time, license plate number, type of vehicle, car plate color, the speed of a motor vehicle and checkout equipment ID;
For to all the other the class data after rejecting, by the module of ascending sequence aforementioned detection time;
For the module processed the data after the sequence of a certain class, this module is configured to process in the following manner: suppose to have n bar data, then obtain adjacent two detection time t
iand t
i+1poor Δ t
i=t
i+1-t
i, i=1,2 ..., n-1;
For finding the time threshold T being greater than setting
preall t
k+1k>=0, and find the kth bar data of all correspondences and kth+1 number to carry out the module processed according to this, this module is configured to process in the following manner: suppose total m bar data, m>=0, such Article 1 data and the last item data are added, and after removing repeating data, to remaining data by after aforementioned sequence detection time, using Article 1 and Article 2 data as one group, Article 3 and Article 4 data as one group, between two one group successively, if finally unnecessary data, then delete these data;
For the module processed aforementioned groupings data, this module is configured to process in the following manner: by a certain group of data in the aforementioned data of a group between two, license plate number is existed in the car plate of intermediate data, by detection time, the detection time of data is early kept in the starting time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, find the downstream road junction ID of this road section ID, be kept at the starting point crossing of intermediate data; The detection time of the data in evening detection time is kept in the terminal time of intermediate data, and by the road section ID of these data, from MD_SEGMENT table, finds the downstream road junction ID of this road section ID, be kept at the terminal crossing of intermediate data; Find and belong to all data of starting time to terminal time detection time in such, by the road section ID of every bar data, the downstream road junction ID of this road section ID is found from MD_SEGMENT table, by these downstream road junction ID and starting point crossing, terminal crossing, by priority detection time of every bar data, exists by way of crossing field as an array; Wherein, aforesaid MD_SEGMENT table is digital road network information storage list, have recorded crossing, road upstream and the downstream road junction information of road section ID and correspondence in this table;
Each group integrated data for obtaining aforementioned all carries out processing according to aforementioned manner until the complete module of all groups of data processings;
For to the aforementioned data through rejecting all classes after data, processing by aforementioned groupings data processing method, finally exporting the module of the general track data of each vehicle.
6. according to the Vehicle tracing device based on electronic police data according to claim 5, it is characterized in that, aforesaid time threshold T
prebe set as 3600s.
7. according to the Vehicle tracing device based on electronic police data according to claim 5, it is characterized in that, aforementioned for the data to aforementioned all classes after rejecting data, process by aforementioned groupings data processing method, finally export the module of the general track data of each vehicle, its data finally exported comprise: the license plate number of each vehicle, starting point crossing and starting time, terminal crossing and terminal time, all by way of crossing and by way of the crossing time, wherein said by way of crossing time and crossing one_to_one corresponding.
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