CN103996298B - A kind of driver behavior modeling method and device - Google Patents
A kind of driver behavior modeling method and device Download PDFInfo
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- CN103996298B CN103996298B CN201410252819.7A CN201410252819A CN103996298B CN 103996298 B CN103996298 B CN 103996298B CN 201410252819 A CN201410252819 A CN 201410252819A CN 103996298 B CN103996298 B CN 103996298B
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Abstract
The invention discloses a kind of driver behavior modeling method and devices.This method comprises: obtaining the actual speed track in traveling section；Ideal velocity track is obtained according to the road parameters in the traveling section；The similarity for identifying the actual speed track and ideal velocity track, as monitoring result.Technical solution provided in an embodiment of the present invention can be that driving behavior is monitored evaluation based on the speed trajectory of traveling section, accurate can must reflect driving behavior, and without artificial setting vehicle parameter, operate convenient, high reliablity.
Description
Technical field
The present embodiments relate to field of computer technology more particularly to driver behavior modeling method and devices.
Background technique
Currently, causing traffic to be asked due to the improper of vehicle driver's driving behavior in vehicle operation
The phenomenon that topic, frequent occurrence, can not only impact normal traffic order in this way, but also can be to the peace of vehicle driver
It is complete to constitute certain threaten.Therefore the intelligent measurement of the driving behavior of vehicle driver is seemed very necessary.
For a kind of technical solution of the prior art, vehicle is inputted in systems in advance to the monitoring needs of driving behavior
The information of vehicles such as configuration information and vehicle characteristics value, for being monitored to driving behavior.
Based on above-mentioned prior art, existing technological deficiency is: using driving behavior in the prior art
Monitoring method needs driver to be manually entered information of vehicles, if artificially input it is wrong if will affect monitoring result.
Summary of the invention
The embodiment of the invention provides a kind of driver behavior modeling method and devices, are manually entered vehicle to avoid driver
Information improves the reliability of driver behavior modeling.
In a first aspect, the embodiment of the invention provides a kind of driver behavior modeling methods, this method comprises:
Obtain the actual speed track in traveling section；
Ideal velocity track is obtained according to the road parameters in the traveling section；
The similarity for identifying the actual speed track and ideal velocity track, as monitoring result.
Second aspect, the embodiment of the invention also provides a kind of driver behavior modeling device, which includes:
Actual speed track acquiring unit, for obtaining the actual speed track in traveling section；
Ideal velocity track acquiring unit, for obtaining ideal velocity rail according to the road parameters in the traveling section
Mark；
Track similarity identification unit, the similarity of the actual speed track and ideal velocity track, makees for identification
For monitoring result.
Technical solution provided in an embodiment of the present invention can be monitored based on the speed trajectory of traveling section for driving behavior
Evaluation accurate can must reflect driving behavior, and without artificial setting vehicle parameter, operate convenient, high reliablity.
Detailed description of the invention
Fig. 1 is a kind of flow diagram for driver behavior modeling method that the embodiment of the present invention one provides；
Fig. 2 is the flow diagram of another driver behavior modeling method provided by Embodiment 2 of the present invention；
Fig. 3 is a kind of structural schematic diagram for driver behavior modeling device that the embodiment of the present invention three provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is a kind of flow diagram for driver behavior modeling method that the embodiment of the present invention one provides, and the present embodiment can
The case where suitable for being monitored vehicle travel process to the driving behavior of driver.This method can be supervised by driving behavior
Device is surveyed to execute, described device is realized by software and/or hardware, includes but is not limited to the car-mounted terminal being assemblied on vehicle
The electronic equipments such as equipment, smart phone or personal digital assistant.
Referring to Fig. 1, which specifically includes following operation:
110, the actual speed track in traveling section is obtained.
Actual speed track mentioned here, it can be understood as a kind of rate pattern, i.e., with the speed of change in location, or
Person is with position, the speed of time change.
For example, actual speed track can be indicated with two-dimensional function image, for describing the reality of vehicle at different locations
Border travel speed.For example, actual speed track of the vehicle in i-th (i is more than or equal to 2 natural number) a traveling section can table
It is shown as two-dimensional function image fi(x, y), (x, y) indicate vehicle location (such as longitude and latitude when vehicle driving is in the i-th traveling section
Degree), fi(x, y) indicates the actual travel speed of the vehicle at position (x, y).
For the driving behavior that more can accurately reflect current driver's, actual speed track can also with three-dimensional function image come
Indicate that actual speed track is indicated, for describing actual travel speed of the vehicle at different time, different location.Example
Such as, actual speed track of the vehicle in i-th (i is more than or equal to 2 natural number) a traveling section is represented by three-dimensional function
Image fi(x, y, t), (x, y, t) indicate the physical location (x, y) of the vehicle in vehicle driving t moment in the i-th traveling section,
fi(x, y, t) indicates the actual travel speed at t moment vehicle location (x, y).
The form of expression of speed trajectory is not limited in figure or numerical curve or list.
Traveling section it is to be understood that the current section that is travelling, and/or, the section run in a period of time.And
The division of traveling section is normally based on road parameters to determine.Wherein, road parameters are typically speed limit value, are also possible to
Road type (high speed, city's inner ring road, major trunk roads, national highway, provincial highway etc.), vehicle flowrate etc..
Specifically, divide traveling section can specifically: by the path between preset starting point and point of destination according to
Road parameters divide at least two traveling sections, namely are carried out based on the static road parameters being obtained ahead of time to traveling section
It divides；Alternatively, the section of road parameters continuous coupling is determined as current driving section since preset starting point,
I.e. using road parameters, continuously matched one section of section is as a traveling section, and when recognizing present road parameter and current
When the road parameters of traveling section (do not match) not in the range of setting, a new traveling section is established.For example, working as certain
When the speed limit value of one section of route is 80 kilometers of speed per hours, then it is considered as the road parameters continuous coupling in the section.Opposite, if one section
The speed limit value of route is 70 kilometers, and the speed limit value of next section of route changes into 80 kilometers, then the speed limit value of next section of route with
The speed limit value of the preceding paragraph route cannot match, since the speed limit value of two sections of continuous routes cannot match, so cannot function as one
A traveling section, but two traveling sections are needed to form to treat respectively.
In the process of vehicle driving, a Vehicle Speed and vehicle can be obtained every one section of setting time first
Location information, and traveling locating for current vehicle is determined according to traveling section partition rule according to acquired vehicle position information
Section；Then the traveling section according to locating for acquired Vehicle Speed, vehicle position information and identified vehicle,
Form actual speed track of the vehicle in accordingly traveling section.
For example, according to setting time interval acquiring n times Vehicle Speed and vehicle position information, and according to acquired
Vehicle position information determines traveling section Q locating for current vehicle according to traveling section partition rule, wherein Vehicle Speed
It is denoted as fi, vehicle position information be denoted as (xi,yi), 1≤i≤N.Then believed according to acquired Vehicle Speed, vehicle location
Traveling section locating for breath and identified vehicle forms actual speed track of the vehicle in accordingly traveling section Q: (f1,
x1,y1) ... ..., (fi,xi,yi) ... ..., (fN,xN,yN).Each tracing point can with the mode of array, table or curve graph come
Record.
120, ideal velocity track is obtained according to the road parameters in the traveling section.
In the present embodiment, when speed trajectory is indicated using two bit function images, joined according to the road in traveling section
Number obtains ideal velocity track, comprising: according to the road speed limit value of traveling section, road type, vehicle flowrate and/or signal lamp
Change and determines ideal velocity track.At this point, ideal velocity track corresponds to each vehicle position in acquired actual speed track
Set the desired ride speed at place.
The determination process of desired ride speed can specifically: obtains each vehicle location point in actual speed track；From this
Ground or server inquire the corresponding road speed limit value in identified each vehicle location point place, road type, vehicle flowrate and/or letter
The variation of signal lamp；According to query result determination and corresponding desired ride speed at each vehicle location point.Wherein, road type
Including but is not limited to is high speed, city's inner ring road, major trunk roads, national highway and provincial highway.Alternatively, the desired ride speed of each position can be with
It is preset and is stored based on road parameters, then obtain the behaviour of ideal velocity track according to the road parameters in the traveling section
Make, can be and obtain each vehicle location point according to the preset ideal velocity of road parameters in the traveling section, so with it is each
Vehicle location point combines and forms ideal velocity track.For example, determining the 0.8 of the corresponding road speed limit value in each vehicle location point place
Value is as the desired ride speed at corresponding vehicle location point again；Or determine that road type is high speed and vehicle flowrate is 50
/ it is small in the case of, desired ride speed at each vehicle location point is 100 kilometers/hour, determines that road type is high
Speed and vehicle flowrate be 500/it is small in the case of, desired ride speed at each vehicle location point is 80 kilometers/hour
Deng.
When speed trajectory is indicated using three-dimensional function image, ideal velocity is obtained according to the road parameters in traveling section
Track, comprising: determined according to the signal lamp of current time and current driving location, vehicle flowrate and/or average overall travel speed ideal
Speed trajectory.At this point, ideal velocity track corresponds to each vehicle location and temporal desired ride in actual speed track
Speed.
130, the similarity for identifying the actual speed track and ideal velocity track, as monitoring result.
In a specific embodiment of the present embodiment, the actual speed track and ideal velocity track are identified
Similarity, as monitoring result, comprising: identify the phase of the actual speed track and ideal velocity track in each traveling section one by one
Like degree, the monitoring result for corresponding to each traveling section driving behavior is obtained.The mode of operation can be such that driver's timely learning drives
The superiority and inferiority of behavior is sailed, and then is adjusted.
In the another embodiment of the present embodiment, the actual speed track and ideal velocity track are identified
Similarity, as monitoring result, comprising: actual speed tracks and ideal velocity track in whole all traveling sections of identification
Similarity obtains corresponding to the entire monitoring result for driving driving behavior in section.The mode of operation balanced can judge entire
The driving behavior for driving section carries out overall assessment to the driving behavior of driver.
Technical solution provided in this embodiment can be monitored for driving behavior based on the speed trajectory of traveling section and be commented
Valence accurate can must reflect driving behavior, and without artificial setting vehicle parameter, operate convenient, high reliablity.
Based on the above technical solution, make in the similarity for identifying the actual speed track and ideal velocity track
After monitoring result, further includes: export monitoring result to remind user at the end of current driving section；Or
Monitoring result is exported to remind user after entire driving procedure.
Based on the above technical solution, make in the similarity for identifying the actual speed track and ideal velocity track
After monitoring result, further includes: calculate the entire overall merit score for driving section according to following formula:
Wherein, mark is the entire overall merit score for driving section, and i is the serial number for travelling section, and n is the number for travelling section
Amount, kiThe i-th traveling section to be obtained according to the road parameters of traveling section is entirely driving the weighted value in section, AiIt is i-th
Travel the similarity of the actual speed track and ideal velocity track on section.
Further, driver behavior modeling method further includes to weighted value kiDetermination, specifically: according to i-th traveling area
Distance proportion, absolute distance value, vehicle flowrate, and/or the road type that section is occupied in entirely driving section determine weighted value
ki.For example, the i-th traveling section is bigger in the entire distance proportion occupied in section, the absolute distance value of driving, weighted value kiJust
It is bigger；Or k when setting the road type of the i-th traveling section as national highwayiMaximum is provincial highway, major trunk roads, high speed city or inner ring road
When weighted value kiIt is sequentially reduced.
It, can be a kind of more intuitive, image above by monitoring result being exported or being calculated overall merit score
Mode gives user in prompt, and user is facilitated to adjust the driving behavior of oneself in time.General comment is obtained in such a way that weight is set
Valence score can protrude the evaluation to key road segment driving behavior as needed.
It should be noted that it is complex changeable based on actual road traffic condition, it many times will lead to driver
Temporary parking is given it the gun the short period, if obtaining vehicle location and car speed generation actual speed within the time period
Track, it is clear that the accuracy of monitoring result can be made.In order to more accurately monitor the driving behavior of driver, obtaining
After getting the ideal velocity track and actual speed track in traveling section, the actual speed track and ideal speed are being identified
It spends before the similarity of track, the ideal velocity track in traveling section can be pre-processed with actual speed track, this is pre-
Processing includes but is not limited to: the minimum and maximum setting quantity of vehicle actual speed in actual speed track in removal traveling section
A tracing point, while removing the correspondence tracing point in traveling section in ideal velocity track.
Embodiment two
Fig. 2 is a kind of flow diagram of driver behavior modeling method provided by Embodiment 2 of the present invention.The present embodiment can
Based on above-described embodiment, to provide a kind of preferred embodiment, which is suitable for equipping the smart phone on vehicle
As driver behavior modeling device, the scene that the driving behavior of driver is monitored.Referring to fig. 2, the driver behavior modeling
Method specifically includes following operation:
210, section will be driven and is divided at least two different traveling sections；
220, vehicle at least two positions in each traveling section are obtained by the satellite positioning module in smart phone
The actual travel speed at place generates the actual speed track of each traveling section；
230, the road parameters for obtaining each traveling section, determine in each traveling section according to acquired road parameters
Corresponding to the desired ride speed at least two position, the ideal velocity track of each traveling section is generated；
240, the similarity between the actual speed track and ideal velocity track in each traveling section is calculated, as prison
Survey result；
250, it sums Similarity-Weighted corresponding to each traveling section calculated to obtain overall merit score.
It is existing for more detailed description driver behavior modeling method provided in this embodiment for example:
It firstly, will drive section is divided into n traveling section, and is Q to n traveling segment mark1, Q2……Qn, wherein often
The speed limit value of a traveling section is close as far as possible；
Secondly, in vehicle driving in Qi(i=1,2,3 ... or n) travel section when, utilize the satellite in smart phone
Position module obtains the location of the actual travel speed and vehicle of vehicle information at regular intervals, forms vehicle and exists
Actual speed track f in the traveling sectioni(x,y)；The road parameters of the traveling section are obtained from road parameters database,
And ideal velocity track g is generated using these road parametersi(x,y)；Utilize DTW (Dynamic Time Warping, when dynamic
Between it is regular) algorithm calculates fi(x, y) and giThe similarity A of (x, y)iIf distance AiIt is smaller, judge to correspond to the traveling section
Driving behavior it is more accurate.Wherein, (x, y) is the longitude and latitude of acquired vehicle location.
In turn, for the n above traveling section, n similarity A is calculated separately out1,A2,A3……AnAs corresponding to
The monitoring result of difference traveling section, and each weighted value k for travelling section is obtained from road parameters data1,k2,k3……kn,
Overall merit score is obtained using the weighted formula as described in embodiment one:
Finally, according to overall merit score and corresponding to the monitoring result of different traveling sections, with the side of text or voice
Formula gives the driving behavior evaluation result of user.
The present embodiment is without being equipped with additional positioning device to vehicle, it is only necessary to which driving row can be realized in a smart phone
For monitoring method, can be saved in this way because being equipped with expense consumed by additional positioning device.Technical solution provided in this embodiment
It can be applied in the navigation system in smart phone, navigation system made not only can to drive to escort for user, while being tied in navigation
Shu Hou can evaluate the driving behavior of user, to improve user experience and interactivity.
Embodiment three
Fig. 3 is a kind of structural schematic diagram for driver behavior modeling device that the embodiment of the present invention three provides.The present embodiment can
The case where suitable for being monitored vehicle travel process to the driving behavior of driver.Referring to Fig. 3, the driver behavior modeling
The specific structure of device is as follows:
Actual speed track acquiring unit 310, for obtaining the actual speed track in traveling section；
Ideal velocity track acquiring unit 320, for obtaining ideal velocity according to the road parameters in the traveling section
Track；
Track similarity identification unit 330, the similarity of the actual speed track and ideal velocity track for identification,
As monitoring result.
Further, described device further includes traveling section determination unit 300, for obtaining in the actual speed track
Unit 310 obtains before the actual speed track in traveling section:
Path between preset starting point and point of destination is divided at least two traveling sections according to road parameters；
Or
Since preset starting point, the section of road parameters continuous coupling is determined as current driving section.
Further, ideal velocity track acquiring unit 320, is specifically used for:
It is determined according to the variation of the road speed limit value of the traveling section, road type, vehicle flowrate and/or signal lamp ideal
Speed trajectory；Or
Ideal speed is determined according to the signal lamp of current time and current driving location, vehicle flowrate and/or average overall travel speed
Spend track.
Further, track similarity identification unit 330, is specifically used for:
The similarity for identifying the actual speed track and ideal velocity track in each traveling section one by one, obtains corresponding to each
Travel the monitoring result of section driving behavior；Or
The similarity of actual speed track and ideal velocity track in whole all traveling sections of identification, is corresponded to
The entire monitoring result for driving driving behavior in section.
Further, described device further includes evaluation score computing unit 340, in the track similarity identification list
After the similarity of 330 identification of the member actual speed track and ideal velocity track is as monitoring result, according to following formula
Calculate the entire overall merit score for driving section:
Wherein, mark is the entire overall merit score for driving section, and i is the serial number for travelling section, and n is the number for travelling section
Amount, kiThe i-th traveling section to be obtained according to the road parameters of traveling section is entirely driving the weighted value in section, AiIt is i-th
Travel the similarity of the actual speed track and ideal velocity track on section.
Further, described device further includes weighted value determination unit 335, is used for:
According to i-th traveling section entirely drive section in occupied distance proportion, absolute distance value, vehicle flowrate and/
Or road type determines weighted value ki。
Further, described device further includes monitoring reminding unit 350, in the track similarity identification unit
After the similarity of the 330 identifications actual speed track and ideal velocity track is as monitoring result, in current driving section
At the end of the monitoring result is exported to remind user；Or by the monitoring result after entire driving procedure
It is exported to remind user.
Method provided by any embodiment of the invention can be performed in the said goods, has the corresponding functional module of execution method
And beneficial effect.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of driver behavior modeling method characterized by comprising
Path between preset starting point and point of destination is divided at least two traveling sections according to road parameters；Or
Since preset starting point, the section of road parameters continuous coupling is determined as current driving section；
Obtain the actual speed track in traveling section；
Ideal velocity track is obtained according to the road parameters in the traveling section；
The similarity for identifying the actual speed track and ideal velocity track, as monitoring result；
Wherein, ideal velocity track is obtained according to the road parameters in the traveling section, comprising:
Ideal velocity track is determined according to the variation of the road speed limit value of the traveling section, vehicle flowrate and/or signal lamp；Or
Ideal velocity rail is determined according to the signal lamp of current time and current driving location, vehicle flowrate and/or average overall travel speed
Mark.
2. driver behavior modeling method according to claim 1, which is characterized in that identify the actual speed track and reason
The similarity for thinking speed trajectory, as monitoring result, comprising:
The similarity for identifying the actual speed track and ideal velocity track in each traveling section one by one, obtains corresponding to each traveling
The monitoring result of section driving behavior；Or
The similarity of actual speed track and ideal velocity track in whole all traveling sections of identification, obtains corresponding to entire
Drive the monitoring result of driving behavior in section.
3. driver behavior modeling method according to claim 1, which is characterized in that identify the actual speed track and
After the similarity of ideal velocity track is as monitoring result, further includes: calculate the total of entire driving section according to following formula
Evaluation score:
Wherein, mark is the entire overall merit score for driving section, and i is the serial number for travelling section, and n is the quantity for travelling section, ki
The i-th traveling section to be obtained according to the road parameters of traveling section is entirely driving the weighted value in section, AiFor the i-th traveling
The similarity of actual speed track and ideal velocity track on section.
4. driver behavior modeling method according to claim 3, which is characterized in that further include:
Distance proportion, absolute distance value, vehicle flowrate, and/or the road occupied in section is entirely being driven according to the i-th traveling section
Road type determines weighted value ki。
5. driver behavior modeling method according to claim 1, which is characterized in that identify the actual speed track and
After the similarity of ideal velocity track is as monitoring result, further includes: tie the monitoring at the end of current driving section
Fruit is exported to remind user；Or the monitoring result is exported to remind use after entire driving procedure
Family.
6. a kind of driver behavior modeling device characterized by comprising
Travel section determination unit, for actual speed track acquiring unit obtain traveling section in actual speed track it
Before, the path between preset starting point and point of destination is divided at least two traveling sections according to road parameters；Or
Since preset starting point, the section of road parameters continuous coupling is determined as current driving section；
Actual speed track acquiring unit, for obtaining the actual speed track in traveling section；
Ideal velocity track acquiring unit, for according to the road speed limit value of the traveling section, vehicle flowrate and/or signal lamp
Change and determines ideal velocity track；Or according to the signal lamp of current time and current driving location, vehicle flowrate and/or average traveling
Speed determines ideal velocity track；
Track similarity identification unit, the similarity of the actual speed track and ideal velocity track for identification, as prison
Survey result.
7. driver behavior modeling device according to claim 6, which is characterized in that the track similarity identification unit,
It is specifically used for:
The similarity for identifying the actual speed track and ideal velocity track in each traveling section one by one, obtains corresponding to each traveling
The monitoring result of section driving behavior；Or
The similarity of actual speed track and ideal velocity track in whole all traveling sections of identification, obtains corresponding to entire
Drive the monitoring result of driving behavior in section.
8. driver behavior modeling device according to claim 6, which is characterized in that it further include evaluation score computing unit,
For identifying that the similarity of the actual speed track and ideal velocity track is used as prison in the track similarity identification unit
It surveys after result, calculates the entire overall merit score for driving section according to following formula:
Wherein, mark is the entire overall merit score for driving section, and i is the serial number for travelling section, and n is the quantity for travelling section, ki
The i-th traveling section to be obtained according to the road parameters of traveling section is entirely driving the weighted value in section, AiFor the i-th traveling
The similarity of actual speed track and ideal velocity track on section.
9. driver behavior modeling device according to claim 8, which is characterized in that further include weighted value determination unit, use
In:
Distance proportion, absolute distance value, vehicle flowrate, and/or the road occupied in section is entirely being driven according to the i-th traveling section
Road type determines weighted value ki。
10. driver behavior modeling device according to claim 6, which is characterized in that further include monitoring reminding unit, be used for
Identify that the similarity of the actual speed track and ideal velocity track is tied as monitoring in the track similarity identification unit
After fruit, the monitoring result is exported to remind user at the end of current driving section；Or in entire drive the cross
The monitoring result is exported to remind user after journey.
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| CN104391504B (en) * | 2014-11-25 | 2017-05-31 | 浙江吉利汽车研究院有限公司 | The generation method and generating means of the automatic Pilot control strategy based on car networking |
| CN106157608B (en) * | 2015-03-23 | 2019-09-13 | 高德软件有限公司 | Information processing method and device |
| CN106297280A (en) * | 2015-05-22 | 2017-01-04 | 高德软件有限公司 | A kind of information processing method and device |
| CN104992560B (en) * | 2015-06-26 | 2018-08-28 | 深圳市元征科技股份有限公司 | A kind of processing method and server of running course data |
| CN107784587B (en) * | 2016-08-25 | 2021-09-14 | 大连楼兰科技股份有限公司 | Driving behavior evaluation system |
| CN109720353B (en) * | 2018-12-27 | 2020-11-17 | 南京航空航天大学 | Driving behavior detection method based on smart phone |
| CN112805724B (en) * | 2021-01-08 | 2022-05-13 | 华为技术有限公司 | Vehicle driving scene recognition method and device |
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