CN105427602B - A kind of vehicle driving theme determines method and device - Google Patents
A kind of vehicle driving theme determines method and device Download PDFInfo
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- CN105427602B CN105427602B CN201510945698.9A CN201510945698A CN105427602B CN 105427602 B CN105427602 B CN 105427602B CN 201510945698 A CN201510945698 A CN 201510945698A CN 105427602 B CN105427602 B CN 105427602B
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- G—PHYSICS
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- 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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Abstract
The present invention provides a kind of vehicle driving subject methods and device, the described method includes：Obtain bayonet of the target vehicle in preset time period and cross car data；The bayonet point position that car data determines that the target vehicle passes through in the preset time period is crossed according to the bayonet；The bayonet point position passed through according to the target vehicle in the preset time period, and default bayonet point position and the correspondence of vehicle driving theme, determine the trip theme of the target vehicle.It can be realized using the embodiment of the present invention and vehicle driving theme is determined, foundation is provided more reasonably to perform vehicle management and control decision-making.
Description
Technical field
The present invention relates to technical field of video monitoring, more particularly to a kind of vehicle driving theme to determine method and device.
Background technology
In recent years, the surge of city vehicle ownership, and there is not the construction of equal proportion in same period urban road, causes to be permitted
The vehicle on-board ability of more downtown roads is exceeded.Therefore, vehicle supervision department there is an urgent need to science vehicle management and control decision model,
Aid decision traffic order rule.
In current vehicle management and control scheme, flow detection is carried out typically by coil, earth magnetism etc., to the coast is clear degree
Simple data statistics is carried out, carries out congestion level presentation on the electronic map, subjective analysis is then based on and carries out decision-making judgement.
But practice is found, flow detection is carried out using coil, earth magnetism etc., can only simply calculating vehicle information of number,
It can not determine vehicle driving theme, the vehicle management and control decision-making made based on this is not objective enough, and effect is poor, therefore, how to determine
Vehicle driving theme becomes a technical problem urgently to be resolved hurrily.
The content of the invention
The present invention provides a kind of vehicle driving theme and determines method and device, to solve not determining vehicle in the prior art
The problem of trip theme.
First aspect according to embodiments of the present invention, there is provided a kind of vehicle driving theme determines method, including：
Obtain bayonet of the target vehicle in preset time period and cross car data；
The bayonet point position that car data determines that the target vehicle passes through in the preset time period is crossed according to the bayonet；
The bayonet point position passed through according to the target vehicle in the preset time period, and default bayonet point position with
The correspondence of vehicle driving theme, determines the trip theme of the target vehicle.
Second aspect according to embodiments of the present invention, there is provided a kind of vehicle driving theme determining device, including：
Acquiring unit, obtains bayonet of the target vehicle in preset time period and crosses car data；
First determination unit, determines the target vehicle in the preset time period for crossing car data according to the bayonet
The bayonet point position of interior process；
Second determination unit, for the bayonet point position passed through according to the target vehicle in the preset time period, with
And the correspondence of default bayonet point position and vehicle driving theme, determine the trip theme of the target vehicle.
Using the embodiment of the present invention, car data is crossed by obtaining bayonet of the target vehicle in preset time period, and according to
The bayonet crosses car data and determines the bayonet point position that target vehicle passes through in preset time period, and then, according to target vehicle pre-
If the bayonet point position passed through in the period, and default bayonet point position and the correspondence of vehicle driving theme, determine target
The trip theme of vehicle, realizes and vehicle driving theme is determined, is provided more reasonably to perform vehicle management and control decision-making
Foundation.
Brief description of the drawings
Fig. 1 is the flow diagram that a kind of vehicle driving theme provided in an embodiment of the present invention determines method；
Fig. 2 is the flow diagram that another vehicle driving theme provided in an embodiment of the present invention determines method；
Fig. 3 is a kind of structure diagram of vehicle driving theme determining device provided in an embodiment of the present invention；
Fig. 4 is the structure diagram of another vehicle driving theme determining device provided in an embodiment of the present invention；
Fig. 5 is the structure diagram of another vehicle driving theme determining device provided in an embodiment of the present invention.
Embodiment
In order to make those skilled in the art more fully understand the technical solution in the embodiment of the present invention, and make of the invention real
Apply the above-mentioned purpose of example, feature and advantage can be more obvious understandable, below in conjunction with the accompanying drawings to technical side in the embodiment of the present invention
Case is described in further detail.
Fig. 1 is referred to, Fig. 1 is the flow signal that a kind of vehicle driving theme provided in an embodiment of the present invention determines method
Figure, as shown in Figure 1, the vehicle driving theme determines that method may comprise steps of：
The bayonet of step 101, acquisition target vehicle in preset time period crosses car data.
In the embodiment of the present invention, the above method can be applied in intelligent transportation system, for example, being applied to intelligent transportation system
Background server in system.For ease of description, the executive agent of following method described above is to be described exemplified by server.
In the embodiment of the present invention, the target vehicle not a certain vehicle of feature, but may refer to any carry out vehicle driving
The vehicle of subject analysis, the embodiment of the present invention are subsequently no longer repeated.
In the embodiment of the present invention, preset time period can be set according to concrete application scene, for example, the preset time period can
Think 10 it is small when, 1 day, one week etc., wherein, the corresponding duration of preset time period is longer, based on the bayonet in the preset time period
It is relatively higher to cross the accuracy rate for the vehicle driving theme that car data is analyzed, but statistic analysis amount is also corresponding bigger,
Therefore, accuracy rate requirement and workload demand can be considered when setting preset time period, it is implemented herein no longer
Repeat.
In the embodiment of the present invention, when server needs to carry out subject analysis to target vehicle, it can be obtained from database
Bayonet of the target vehicle in preset time period is taken to cross car data, wherein, which crosses car data and can be set by each bayonet
The video capture put obtains, which, which crosses car data, includes bayonet identification information, the license plate number of target vehicle, candid photograph time letter
Breath.Alternatively, which, which crosses car data, can also include the type of vehicle of target vehicle, such as local car, nonlocal car, truck
Deng.
The bayonet that step 102, basis are got crosses car data and determines the bayonet that target vehicle passes through in preset time period
Point position.
In the embodiment of the present invention, server gets bayonet of the target vehicle in preset time period and crosses after car data,
Car data can be crossed according to the bayonet and determines the bayonet point position that target vehicle passes through in preset time period.
As an alternative embodiment, in above-mentioned steps 102, car data is crossed according to the bayonet got and determines mesh
The bayonet point position that mark vehicle passes through in preset time period, may comprise steps of：
11) timeslice division, is carried out to preset time period；
12) car data, is crossed according to bayonet, determines the bayonet point bit vector that target vehicle passes through in each timeslice；Wherein, if
When target vehicle passes through target bayonet in object time piece, the object card in the corresponding bayonet point bit vector of the object time piece
The corresponding value of mouth is 1；Otherwise, the corresponding value of the target bayonet is 0 in the corresponding bayonet point bit vector of the object time piece；
13) bayonet point bit matrix of the target vehicle in preset time period, is generated according to bayonet point bit vector.
In this embodiment, server can according to default time granularity (can be set according to concrete application scene,
Such as 10 minutes, half an hour) timeslice division is carried out to preset time period, preset time period is divided into multiple timeslices.
For example, it is assumed that preset time period is 1 day, when preset time granularity is 1 small, then server can be by the preset time
Section is divided into 24 time slicings.
After server carries out timeslice division to preset time period, car data can be crossed according to bayonet, determine target vehicle
In the bayonet point bit vector that each timeslice is passed through.Wherein, the corresponding bayonet point bit vector of i-th of timeslice is：
(si1, si2..., sin)
Wherein, n is the card for (needing to carry out the specific region of vehicle management and control, such as Shanghai City, Shenzhen) in target area
The sum of mouth point position, sijWhether pass through j-th of bayonet point position in i-th of timeslice for representing target vehicle, if by,
sijValue be 1；If without sijValue be 0.
Further, server determines that target vehicle, can basis after the bayonet point bit vector that each timeslice is passed through
The bayonet point bit vector generates bayonet point bit matrix of the target vehicle in preset time period.Wherein, which can
With as follows：
Wherein, m is the quantity of timeslice, and the i-th performance-based objective vehicle of the bayonet point bit matrix passes through in i-th of timeslice
Bayonet point bit vector.
Further, in embodiments of the present invention, it is contemplated that the trip theme of working day and nonworkdays vehicle may
Inconsistent, i.e., the difference of bayonet point position that vehicle passes through also can be bigger, if by the vehicle bayonet with nonworkdays on weekdays
The trip theme that car data synthesis is used to determine vehicle is crossed, the accuracy rate of identified trip theme can be relatively low.
Accordingly, as a kind of optional embodiment, above-mentioned preset time period can include the continuous first default quantity
Working day or continuous second default quantity nonworkdays.Wherein, the first default quantity and the second default quantity can phases
With can not also be identical.
In this embodiment, in above-mentioned steps 11, time division is carried out to preset time period, can be included：
Time division is carried out to each working day or nonworkdays respectively.
In above-mentioned steps 13, working day of the bayonet point bit matrix of preset time period including the first default quantity corresponds to respectively
Bayonet point bit matrix, or the corresponding bayonet point bit matrix of nonworkdays of the second default quantity.
Specifically, in this embodiment, server get target vehicle bayonet cross car data after, can be according to this
The temporal information that bayonet is crossed in car data is classified as that working day bayonet crosses car data and nonworkdays bayonet crosses car data, and can
To cross car data according to the target vehicle working day bayonet or nonworkdays bayonet crosses the trip master that car data determines target vehicle
Topic.
For example, server, which can analyze bayonet of the target vehicle on weekdays with nonworkdays, crosses car data, if target carriage
The driving trace of (or nonworkdays) compared with horn of plenty (more i.e. by bayonet point position) and stablizes the (bayonet of process on weekdays
Point position is more consistent or the corresponding theme in bayonet point position is more consistent), then can be according to target vehicle (or inoperative on weekdays
Day) bayonet cross the trip theme that car data determines target vehicle.For ease of description, existed below with server according to target vehicle
Workaday bayonet is crossed exemplified by the trip theme that car data determines target vehicle.
In this embodiment, server can obtain the workaday bayonet mistake that target vehicle continuous first presets quantity
Car data, for each working day, server can carry out timeslice division according to presetting granularity when small (such as 1), and respectively
Determine the bayonet point bit vector of each timeslice, and and then each workaday bayonet point bit matrix of generation.
For example, server can obtain the bayonets of continuous 5 working days (such as Mon-Fri) of target vehicle and cross car
Data, for the every workday, server can be divided into 24 timeslices, and determine the bayonet of each timeslice respectively
Point bit vector, and then generate each workaday bayonet point bit matrix (totally 5 bayonet point bit matrix).
Step 103, the bayonet point position passed through according to target vehicle in preset time period, and default bayonet point position with
The correspondence of vehicle driving theme, determines the trip theme of target vehicle.
In the embodiment of the present invention, the correspondence of each bayonet point position and vehicle driving theme can be preset, for example, dynamic
The corresponding tourism such as thing garden, park, high speed entrance corresponded to car etc..
Wherein, in embodiments of the present invention, same bayonet point position can correspond to multiple vehicle driving themes at the same time, for example,
Car and 30% tourism etc. can be crossed for the corresponding trip theme of high speed entrance for 70%.
Correspondingly, server is determined outside the bayonet point position that target vehicle passes through in preset time period, can basis
The bayonet point position that the target vehicle passes through in the preset time period, and default bayonet point position and pair of vehicle driving theme
It should be related to, determine the trip theme of target vehicle.
As an example it is assumed that target vehicle passes through 10 bayonet point positions altogether in preset time period, wherein 8 it is corresponding go out
Row theme is tourism, and 2 corresponding trip themes are working, then server can determine that the trip theme of the target vehicle is trip
Trip.
Again as an example it is assumed that target vehicle passes through 10 bayonet point positions (A~J) altogether in preset time period, A is corresponding
Theme is tourism 70%, crosses car 30%, and the corresponding themes of B are tourism 80%, and the corresponding themes of working 20%...J are working
70%, car 30% is crossed, then server can calculate the weighted average of the probability of each theme, and the theme of maximum probability is determined
For the trip theme of target vehicle.
As an alternative embodiment, in above-mentioned steps 103, card is passed through in preset time period according to target vehicle
Mouthful point position, and the correspondence of default bayonet point position and vehicle driving theme, determine the trip theme of target vehicle, can be with
Including：
The trip theme of the target vehicle is determined by default hidden Di Li Crays probability graph model：
Wherein,It is the bayonet point position set of the process for the vehicle that driving trace i includes,It is the driving trace i
The vehicle driving theme of corresponding maximum probability,It is the corresponding trip theme distributions of driving trace i, φ is default bayonet point
The probability Distribution Model of the corresponding vehicle driving theme in position,It is bayonet point position s in driving trace ii,jIt is actual corresponding
Vehicle driving theme probability Distribution Model, si,jIt is j-th of bayonet point position that driving trace i includes, zi,jIt is bayonet point position si,j
Corresponding vehicle driving theme,It isHyper parameter,It is the hyper parameter of φ, i, j, NiFor positive integer, NiFor driving trace i
The sum of the bayonet point position included.
In this embodiment, server determine bayonet point position that target vehicle passes through in preset time period it
Afterwards, it can determine that the trip of the target vehicle is set a question by default hidden Di Li Crays probability graph model.
Wherein, the specific implementation sheet of target vehicle is determined based on above-mentioned hidden Di Li Crays probability graph model, server
Inventive embodiments do not limit, for example, server can jeep this sampling by way of, determine above-mentioned hidden Di Li Crays probability
Trip theme in graph model, details are not described herein for its specific implementation.
It should be noted that in embodiments of the present invention, server passes through according to target vehicle in preset time period
Bayonet point position, and default bayonet point position and the correspondence of vehicle driving theme, determine the trip theme of target vehicle
Implementation is not limited to by way of hidden Di Li Crays probability graph model, can also be included other manner, such as be passed through enigmatic language
Adopted model approach etc., its specific implementation repeat no more herein.
In the embodiment of the present invention, the trip theme of target vehicle determined by server can be the target carriage that is analyzed
Maximum probability trip theme, or each possible trip theme and corresponding probability of target vehicle, the present invention
Embodiment does not limit this.
In the embodiment of the present invention, when above-mentioned preset time includes multiple working days (or nonworkdays), server can be with
Respectively according to corresponding bayonet point bit matrix of each working day (or nonworkdays), determine the workaday trip theme or go on a journey out
Topic distribution, then to it is the plurality of it is workaday trip theme be weighted statistics, determine the final trip theme of target vehicle or
Trip theme distribution.
As it can be seen that in the described embodiments of the method for Fig. 1, the bayonet that is passed through by determining target vehicle in preset time period
Point position, and the bayonet point position passed through according to target vehicle in preset time period and default bayonet point position and trip theme
Correspondence, determines the trip theme of target vehicle, realizes determining for vehicle theme.
Fig. 2 is referred to, the flow diagram of method is determined for another vehicle driving theme provided in an embodiment of the present invention,
As shown in Fig. 2, the vehicle driving theme determines that method may comprise steps of：
The bayonet of step 201, acquisition target vehicle in preset time period crosses car data.
The bayonet that step 202, basis are got crosses car data and determines the bayonet that target vehicle passes through in preset time period
Point position.
Step 203, the bayonet point position passed through according to target vehicle in preset time period, and default bayonet point position with
The correspondence of vehicle driving theme, determines the trip theme of target vehicle.
In the embodiment of the present invention, the specific implementation of step 201~step 203 may refer to 101~step 103 of above-mentioned steps
In associated description, details are not described herein for the embodiment of the present invention.
Step 204, according to the trip theme of the type of vehicle and the vehicle counted perform vehicle management and control decision-making.
In the embodiment of the present invention, after server determines the trip theme of target vehicle, it can be counted according to itself
The trip theme of vehicle (including target vehicle and other vehicles for being counted), and vehicle pipe is performed according to the type of each vehicle
Control decision-making.
For example, server can cross car data according to the bayonet in database and determine target area (such as Hangzhou) pre-
If (car plate that can be crossed according to bayonet in car data determines nonlocal car in real time, can also in advance analyze and be used as number in the period
According to label storage in the database, similarly hereinafter) or truck trip theme, for example, the trip theme of nonlocal car can include private
Family's car trip tourism, city are passed by car, nonlocal car localization on and off duty, Freight Transport, passenger traffic etc.；The trip theme of truck can
With including agricultural product transport vehicle, stream carrier vehicle, building car, municipal environmental sanitation car etc..
Server determines target area after the trip purpose of the nonlocal car (or truck) of preset time period, Ke Yigen
Determine that each middle different type other places car passes through in city accounting, stifled according to road net data of the target area in the preset time period
Point accounting etc. (or all types of truck footholds and stifled point, accident point, the coincidence ratio of violating the regulations etc.), and then to the target area
The nonlocal car (or truck) in domain carries out corresponding management and control decision-making, such as nonlocal car, according to the nonlocal car of the difference of statistics in city
Current accounting, contrast is fitted with stifled point, and pick out influences maximum a kind of car to urban traffic blocking carries out restricted driving management and control；
Or for truck, the management and control such as access license, control total quantity, timing section, fixed line can be carried out.
As it can be seen that in the described method flows of Fig. 2, by determining the trip theme of target vehicle, and then according to vehicle
Type and the vehicle driving theme that is counted, vehicle management and control decision-making is carried out to vehicle, improves the conjunction of vehicle management and control decision-making
Rationality.
By above description as can be seen that in technical solution provided in an embodiment of the present invention, by obtaining target vehicle
Bayonet in preset time period crosses car data, and crosses car data according to the bayonet and determine that target vehicle passes through in preset time period
The bayonet point position crossed, and then, the bayonet point position passed through according to target vehicle in preset time period, and default bayonet point position
With the correspondence of vehicle driving theme, determine the trip theme of target vehicle, realize and vehicle driving theme is determined, be
More reasonably perform vehicle management and control decision-making and provide foundation.
Fig. 3 is referred to, is a kind of structure diagram of vehicle driving theme determining device provided in an embodiment of the present invention, its
In, which can be applied to the intelligent transportation system in above method embodiment, for example, being applied to
In the background server of intelligent transportation system, as shown in figure 3, the vehicle driving theme determining device can include：
Acquiring unit 310, obtains bayonet of the target vehicle in preset time period and crosses car data；
First determination unit 320, determines the target vehicle when described default for crossing car data according to the bayonet
Between the bayonet point position passed through in section；
Second determination unit 330, for the bayonet point position passed through according to the target vehicle in the preset time period,
And the correspondence of default bayonet point position and vehicle driving theme, determine the trip theme of the target vehicle.
Please also refer to Fig. 4, the structure for another vehicle driving theme determining device provided in an embodiment of the present invention is shown
It is intended to, the embodiment is on the basis of foregoing embodiment illustrated in fig. 3, and the first determination unit 320 can include in described device：
Subelement 321 is divided, for carrying out timeslice division to the preset time period；
Determination subelement 322, for crossing car data according to the bayonet, determines that the target vehicle passes through in each timeslice
Bayonet point bit vector；Wherein, if the target vehicle passes through target bayonet in object time piece, the object time piece pair
The corresponding value of target bayonet is 1 in the bayonet point bit vector answered；Otherwise, in the corresponding bayonet point bit vector of the object time piece
The corresponding value of the target bayonet is 0；
Subelement 323 is generated, for generating the target vehicle in the preset time according to the bayonet point bit vector
Bayonet point bit matrix in section.
In an alternative embodiment, the preset time period includes the working day or continuous second pre- of the continuous first default quantity
If the nonworkdays of quantity；
Correspondingly, the division subelement 321, can be specifically used for carrying out the time to each working day or nonworkdays respectively
Piece divides；
Wherein, working day of the bayonet point bit matrix of the preset time period including the described first default quantity corresponds to respectively
Bayonet point bit matrix, or the corresponding bayonet point bit matrix of nonworkdays of the described second default quantity.
In an alternative embodiment, second determination unit 330, can be specifically used for general by default hidden Di Li Crays
Rate graph model determines the trip theme of the target vehicle：
Wherein,It is the bayonet point position set of the process for the vehicle that driving trace i includes,It is the driving trace i
The vehicle driving theme of corresponding maximum probability,It is the corresponding trip theme distributions of driving trace i, φ is default bayonet
The probability Distribution Model of the corresponding vehicle driving theme in point position,It is bayonet point position s in driving trace ii,jIt is actual corresponding
Vehicle driving theme probability Distribution Model, si,jIt is j-th of bayonet point position that driving trace i includes, zi,jIt is bayonet point position
si,jCorresponding vehicle driving theme,It isHyper parameter,It is the hyper parameter of φ, i, j, NiFor positive integer, NiFor traveling
The sum for the bayonet point position that track i includes.
Please also refer to Fig. 5, the structure for another vehicle driving theme determining device provided in an embodiment of the present invention is shown
It is intended to, on the basis of foregoing embodiment illustrated in fig. 3, described device can also include the embodiment：
Decision package 340, vehicle management and control is performed for the trip theme of the type according to vehicle and the vehicle counted
Decision-making.
The function of unit and effect realizes that process specifically refers to step is corresponded in the above method in above device
Realize process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related part is real referring to method
Apply the part explanation of example.Device embodiment described above is only schematical, wherein described be used as separating component
The unit of explanation may or may not be physically separate, can be as the component that unit is shown or can also
It is not physical location, you can with positioned at a place, or can also be distributed in multiple network unit.Can be according to reality
Need to select some or all of module therein to realize the purpose of the present invention program.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
As seen from the above-described embodiment, car data is crossed by obtaining bayonet of the target vehicle in preset time period, and according to
The bayonet crosses car data and determines the bayonet point position that target vehicle passes through in preset time period, and then, according to target vehicle pre-
If the bayonet point position passed through in the period, and default bayonet point position and the correspondence of vehicle driving theme, determine target
The trip theme of vehicle, realizes and vehicle driving theme is determined, is provided more reasonably to perform vehicle management and control decision-making
Foundation.
Those skilled in the art will readily occur to the present invention its after considering specification and putting into practice invention disclosed herein
Its embodiment.This application is intended to cover the present invention any variations, uses, or adaptations, these modifications, purposes or
Person's adaptive change follows the general principle of the present invention and including undocumented common knowledge in the art of the invention
Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is only limited by appended claim.
Claims (8)
1. a kind of vehicle driving theme determines method, it is characterised in that including：
Obtain bayonet of the target vehicle in preset time period and cross car data；
The bayonet point position that car data determines that the target vehicle passes through in the preset time period is crossed according to the bayonet；
The bayonet point position passed through according to the target vehicle in the preset time period, and default bayonet point position and vehicle
The correspondence of trip theme, determines the trip theme of the target vehicle；
It is described that the bayonet point position that car data determines that the target vehicle passes through in the preset time period is crossed according to the bayonet,
Including：
Timeslice division is carried out to the preset time period；
Car data is crossed according to the bayonet, determines the bayonet point bit vector that the target vehicle passes through in each timeslice；Wherein, if
When the target vehicle passes through target bayonet in object time piece, the mesh in the corresponding bayonet point bit vector of the object time piece
It is 1 to mark the corresponding value of bayonet；Otherwise, the corresponding value of the target bayonet is 0 in the corresponding bayonet point bit vector of the object time piece；
Bayonet point bit matrix of the target vehicle in the preset time period is generated according to the bayonet point bit vector.
2. according to the method described in claim 1, it is characterized in that, the preset time period includes the continuous first default quantity
Working day or the nonworkdays of continuous second default quantity；
It is described to preset time period carry out timeslice division, including：
Timeslice division is carried out to each working day or nonworkdays respectively；
The bayonet point bit matrix of the preset time period includes the working day corresponding bayonet point of the described first default quantity
Bit matrix, or the corresponding bayonet point bit matrix of nonworkdays of the described second default quantity.
3. according to the method described in claim 1, it is characterized in that, it is described according to the target vehicle in the preset time period
It is interior to pass through bayonet point position, and default bayonet point position and the correspondence of vehicle driving theme, determine the trip of target vehicle
Theme, including：
The trip theme of the target vehicle is determined by default hidden Di Li Crays probability graph model：
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<mi>&phi;</mi>
<mo>&RightArrow;</mo>
</mover>
<msub>
<mi>z</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
</mrow>
</msub>
</msub>
<mo>|</mo>
<mover>
<mi>&beta;</mi>
<mo>&RightArrow;</mo>
</mover>
<mo>)</mo>
</mrow>
</mrow>
Wherein,It is the bayonet point position set of the process for the vehicle that driving trace i includes,It is that the driving trace i is corresponding
The vehicle driving theme of maximum probability,It is the corresponding trip theme distributions of driving trace i, φ is that default bayonet point position corresponds to
Vehicle driving theme probability Distribution Model,It is bayonet point position s in driving trace ii,jActual corresponding vehicle driving
Theme probability Distribution Model, si,jIt is j-th of bayonet point position that driving trace i includes, zi,jIt is bayonet point position si,jCorresponding car
Trip theme,It isHyper parameter,It is the hyper parameter of φ, i, j, NiFor positive integer, NiInclude for driving trace i
The sum of bayonet point position.
4. according to the method described in claim 1, it is characterized in that, after the trip theme of the definite target vehicle, also wrap
Include：
Vehicle management and control decision-making is performed according to the trip theme of the type of vehicle and the vehicle counted.
A kind of 5. vehicle driving theme determining device, it is characterised in that including：
Acquiring unit, obtains bayonet of the target vehicle in preset time period and crosses car data；
First determination unit, determines that the target vehicle passes through in the preset time period for crossing car data according to the bayonet
The bayonet point position crossed；
Second determination unit, for the bayonet point position passed through according to the target vehicle in the preset time period, and in advance
If bayonet point position and vehicle driving theme correspondence, determine the trip theme of the target vehicle；
First determination unit, including：
Subelement is divided, for carrying out timeslice division to the preset time period；
Determination subelement, for crossing car data according to the bayonet, determines the bayonet that the target vehicle passes through in each timeslice
Point bit vector；Wherein, if the target vehicle passes through target bayonet in object time piece, the corresponding card of object time piece
The corresponding value of the target bayonet is 1 in mouth point bit vector；Otherwise, target in the corresponding bayonet point bit vector of the object time piece
The corresponding value of bayonet is 0；
Subelement is generated, for generating card of the target vehicle in the preset time period according to the bayonet point bit vector
Mouth point bit matrix.
6. device according to claim 5, it is characterised in that the preset time period includes the continuous first default quantity
Working day or the nonworkdays of continuous second default quantity；
The division subelement, specifically for carrying out timeslice division to each working day or nonworkdays respectively；
The bayonet point bit matrix of the preset time period includes the working day corresponding bayonet point of the described first default quantity
Bit matrix, or the corresponding bayonet point bit matrix of nonworkdays of the described second default quantity.
7. device according to claim 5, it is characterised in that
Second determination unit, specifically for determining the target vehicle by default hidden Di Li Crays probability graph model
Trip theme：
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<mi>p</mi>
<mrow>
<mo>(</mo>
<msub>
<mover>
<mi>s</mi>
<mo>&RightArrow;</mo>
</mover>
<mi>i</mi>
</msub>
<mo>,</mo>
<msub>
<mover>
<mi>z</mi>
<mo>&RightArrow;</mo>
</mover>
<mi>i</mi>
</msub>
<mo>,</mo>
<msub>
<mover>
<mi>&theta;</mi>
<mo>&RightArrow;</mo>
</mover>
<mi>i</mi>
</msub>
<mo>,</mo>
<mi>&phi;</mi>
<mo>|</mo>
<mover>
<mi>&alpha;</mi>
<mo>&RightArrow;</mo>
</mover>
<mo>,</mo>
<mover>
<mi>&beta;</mi>
<mo>&RightArrow;</mo>
</mover>
<mo>)</mo>
</mrow>
<mo>=</mo>
<munderover>
<mo>&Pi;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<msub>
<mi>N</mi>
<mi>i</mi>
</msub>
</munderover>
<mi>p</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>s</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>|</mo>
<msub>
<mover>
<mi>&phi;</mi>
<mo>&RightArrow;</mo>
</mover>
<msub>
<mi>z</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
</mrow>
</msub>
</msub>
<mo>)</mo>
</mrow>
<mi>p</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>z</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
</mrow>
</msub>
<mo>|</mo>
<msub>
<mover>
<mi>&theta;</mi>
<mo>&RightArrow;</mo>
</mover>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
<mi>p</mi>
<mrow>
<mo>(</mo>
<msub>
<mover>
<mi>&theta;</mi>
<mo>&RightArrow;</mo>
</mover>
<mi>i</mi>
</msub>
<mo>|</mo>
<mover>
<mi>&alpha;</mi>
<mo>&RightArrow;</mo>
</mover>
<mo>)</mo>
</mrow>
<mi>p</mi>
<mrow>
<mo>(</mo>
<msub>
<mover>
<mi>&phi;</mi>
<mo>&RightArrow;</mo>
</mover>
<msub>
<mi>z</mi>
<mrow>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
</mrow>
</msub>
</msub>
<mo>|</mo>
<mover>
<mi>&beta;</mi>
<mo>&RightArrow;</mo>
</mover>
<mo>)</mo>
</mrow>
</mrow>
Wherein,It is the bayonet point position set of the process for the vehicle that driving trace i includes,It is that the driving trace i is corresponding
The vehicle driving theme of maximum probability,It is the corresponding trip theme distributions of driving trace i, φ is that default bayonet point position corresponds to
Vehicle driving theme probability Distribution Model,It is bayonet point position s in driving trace ii,jActual corresponding vehicle driving
Theme probability Distribution Model, si,jIt is j-th of bayonet point position that driving trace i includes, zi,jIt is bayonet point position si,jCorresponding car
Trip theme,It isHyper parameter,It is the hyper parameter of φ, i, j, NiFor positive integer, NiInclude for driving trace i
The sum of bayonet point position.
8. device according to claim 5, it is characterised in that described device further includes：
Decision package, vehicle management and control decision-making is performed for the trip theme of the type according to vehicle and the vehicle counted.
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| CN107862862B (en) * | 2016-09-22 | 2020-11-20 | 杭州海康威视数字技术股份有限公司 | Vehicle behavior analysis method and device |
| CN106297323B (en) * | 2016-09-30 | 2021-07-20 | 中星技术股份有限公司 | Vehicle flow monitoring method and system |
| CN106781497A (en) * | 2017-01-06 | 2017-05-31 | 武汉烽火众智数字技术有限责任公司 | Online vehicle running state detection method and system based on the analysis of point of proximity position |
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