CN103996298A - Driving behavior monitoring method and device - Google Patents
Driving behavior monitoring method and device Download PDFInfo
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- CN103996298A CN103996298A CN201410252819.7A CN201410252819A CN103996298A CN 103996298 A CN103996298 A CN 103996298A CN 201410252819 A CN201410252819 A CN 201410252819A CN 103996298 A CN103996298 A CN 103996298A
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Abstract
The invention discloses a driving behavior monitoring method and device. The method includes the steps of obtaining an actual speed track in a driving section, obtaining an ideal speed track according to road parameters in the driving section, and recognizing similarity of the actual speed track and the ideal speed track as the monitoring result. According to the technical scheme, the driving behaviors can be monitored and evaluated on the basis of the speed track in the driving section, the driving behaviors can be accurately reflected without setting vehicle parameters through manual operation, operation is convenient and rapid, and reliability is high.
Description
Technical field
The embodiment of the present invention relates to field of computer technology, relates in particular to driving behavior monitoring method and device.
Background technology
At present, in the middle of vehicle drive process, because the improper of vehicle driver's driving behavior causes the phenomenon that traffic goes wrong often to occur, so not only can impact normal traffic order, and can form certain threat to vehicle driver's safety.Therefore the Intelligent Measurement of the driving behavior to vehicle driver seems very necessary.
For a kind of technical scheme of prior art, the monitoring of driving behavior is needed in system, to input in advance to the information of vehicles such as configuration information and vehicle characteristics value of vehicle, for driving behavior is monitored.
Prior art scheme based on above-mentioned, the technological deficiency of its existence is: use driving behavior monitoring method of the prior art to need driver manually to input information of vehicles, if artificially input wrongly, can affect monitoring result.
Summary of the invention
The embodiment of the present invention provides a kind of driving behavior monitoring method and device, to avoid driver manually to input information of vehicles, improves the reliability of driving behavior monitoring.
First aspect, the embodiment of the present invention provides a kind of driving behavior monitoring method, and the method comprises:
Obtain the actual speed track travelling in section;
Obtain ideal velocity track according to described road parameters of travelling in section;
Identify the similarity of described actual speed track and ideal velocity track, as monitoring result.
Second aspect, the embodiment of the present invention also provides a kind of driving behavior monitoring device, and this device comprises:
Actual speed track acquiring unit, for obtaining the actual speed track travelling in section;
Ideal velocity track acquiring unit, obtains ideal velocity track for the road parameters of travelling described in basis in section;
Track similarity recognition unit, for identifying the similarity of described actual speed track and ideal velocity track, as monitoring result.
The technical scheme that the embodiment of the present invention provides, can the speed track based on the section that travels be that monitoring and evaluation is carried out in driving behavior, can accurately must reflect driving behavior, and without vehicle parameter is manually set, simple operation, reliability is high.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of a kind of driving behavior monitoring method of providing of the embodiment of the present invention one;
Fig. 2 is the schematic flow sheet of the another kind of driving behavior monitoring method that provides of the embodiment of the present invention two;
Fig. 3 is the structural representation of a kind of driving behavior monitoring device of providing of the embodiment of the present invention three.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, in accompanying drawing, only show part related to the present invention but not entire infrastructure.
Embodiment mono-
Fig. 1 is the schematic flow sheet of a kind of driving behavior monitoring method of providing of the embodiment of the present invention one, and the present embodiment is applicable to the driving behavior to driver is monitored in Vehicle Driving Cycle process situation.The method can be carried out by driving behavior monitoring device, and described device is realized by software and/or hardware, includes but not limited to be assemblied in the electronic equipments such as vehicle-mounted terminal equipment, smart mobile phone or personal digital assistant on vehicle.
Referring to Fig. 1, this driving behavior monitoring method specifically comprises following operation:
110, obtain the actual speed track travelling in section.
Here said actual speed track, can be understood as a kind of rate pattern, along with the speed of change in location, or the speed changing along with position, time.
For example, actual speed track can represent with two-dimensional function image, for describing the actual travel speed of vehicle at diverse location place.For example, vehicle can be expressed as two-dimensional function image f at the individual actual speed track travelling in section of i (i is more than or equal to 2 natural number)
i(x, y), (x, y) is illustrated in the vehicle location (as longitude and latitude) of Vehicle Driving Cycle in i travels section time, f
i(x, y) is illustrated in position (x, y) and locates the actual travel speed of vehicle.
For more accurately reflecting the driving behavior of current driver's, actual speed track can also represent that actual speed track represents with three-dimensional function image, for describing the actual travel speed of vehicle at different time, diverse location place.For example, vehicle can be expressed as three-dimensional function image f at the individual actual speed track travelling in section of i (i is more than or equal to 2 natural number)
i(x, y, t), (x, y, t) is illustrated in Vehicle Driving Cycle physical location (x, y) of vehicle when t moment in i travels section, f
i(x, y, t) is illustrated in the actual travel speed that t moment vehicle location (x, y) is located.
The form of expression of speed track is not confined in figure or numerical curve or list.
The section that travels can be understood as: the current section travelling, and/or, the section that a period of time expert crosses.And the division of the section that travels is normally determined based on road parameters.Wherein, road parameters is typically speed limit, can be also road type (city's inner ring road, major trunk roads, national highway, provincial highway etc. at a high speed), vehicle flowrate etc.
Concrete, dividing the section that travels can be specially: at least two sections that travel are divided to according to road parameters in the path between predefined starting point and point of destination, and also the static road parameters based on obtaining is in advance divided the section that travels; Or, from predefined starting point, road parameters is defined as to current driving section in the section of coupling continuously, the one section of section mating continuously by road parameters is as the section that travels, and in the time recognizing in the scope that the road parameters of current road parameters and current driving section do not setting (not mating), set up a new section that travels.For example, in the time that the speed limit of a certain section of circuit is all 80 kilometers of speed per hours, the road parameters that is considered as this section is mated continuously.Contrary, if the speed limit of one section of circuit is 70 kilometers, and the speed limit of next section of circuit is changed into 80 kilometers, the speed limit of next section of circuit can not mate with the speed limit of the preceding paragraph circuit, because the speed limit of two sections of continuous circuits can not mate, so can not, as the section that travels, treat respectively but need to form two sections that travel.
In the middle of the process of Vehicle Driving Cycle, can be first obtain Vehicle Speed and vehicle position information every one section of setting-up time, and determine when the residing section that travels of vehicle in front according to the section partition rule of travelling according to obtained vehicle position information; Then according to the residing section that travels of obtained Vehicle Speed, vehicle position information and determined vehicle, form vehicle at the corresponding actual speed track travelling in section.
For example, according to N Vehicle Speed of setting-up time interval acquiring and vehicle position information, and determine that according to the section partition rule of travelling wherein, Vehicle Speed is designated as f as the residing section Q that travels of vehicle in front according to obtained vehicle position information
i, vehicle position information is designated as (x
i, y
i), 1≤i≤N.Then according to the residing section that travels of obtained Vehicle Speed, vehicle position information and determined vehicle, form vehicle at the corresponding actual speed track travelling in section Q: (f
1, x
1, y
1) ..., (f
i, x
i, y
i) ..., (f
n, x
n, y
n).Each tracing point can carry out record by the mode of array, form or curve map.
The road parameters of 120, travelling in section described in basis is obtained ideal velocity track.
In the present embodiment, in the time that speed track adopts two bit function image representations, obtain ideal velocity track according to the road parameters of travelling in section, comprising: determine ideal velocity track according to the variation of road speed limit, road type, vehicle flowrate and/or the signal lamp of the section that travels.Now, ideal velocity track is the desirable travel speed corresponding to each vehicle location place in obtained actual speed track.
The deterministic process of desirable travel speed can be specially: obtain the each vehicle location point in actual speed track; From this locality or the variation of the corresponding road speed limit of the determined each vehicle location point of server lookup, road type, vehicle flowrate and/or signal lamp; Determine the desirable travel speed corresponding with each vehicle location point place according to Query Result.Wherein, road type includes but not limited to it is high speed, city's inner ring road, major trunk roads, national highway and provincial highway.Or, the desirable travel speed of each position can preset and store based on road parameters, the operation that the road parameters of travelling in section described in basis is obtained ideal velocity track, can be obtain each vehicle location point according to described in the default ideal velocity of road parameters that travels in section, and then with each vehicle location point in conjunction with formation ideal velocity track.For example, determine that 0.8 times of value of the corresponding road speed limit in each vehicle location point place is as the desirable travel speed at corresponding vehicle location point place; Or definite road type be at a high speed and vehicle flowrate be in the situation of 50/hour, the desirable travel speed at each vehicle location point place is 100 kilometers/hour, determine road type be at a high speed and vehicle flowrate be in the situation of 500/hour, the desirable travel speed at each vehicle location point place is 80 kilometers/hour etc.
In the time that speed track adopts three-dimensional function image representation, obtain ideal velocity track according to the road parameters of travelling in section, comprising: determine ideal velocity track according to signal lamp, vehicle flowrate and/or the average overall travel speed of current time and current driving position.Now, ideal velocity track is corresponding to each vehicle location in actual speed track and temporal desirable travel speed.
130, identify the similarity of described actual speed track and ideal velocity track, as monitoring result.
In one of the present embodiment concrete embodiment, identify the similarity of described actual speed track and ideal velocity track, as monitoring result, comprise: respectively travel actual speed track in section and the similarity of ideal velocity track of identification one by one, obtains the monitoring result corresponding to the section driving behavior of respectively travelling.This mode of operation can make driver know in time the quality of driving behavior, and then adjusts.
In another embodiment of the present embodiment, identify the similarity of described actual speed track and ideal velocity track, as monitoring result, comprise: entirety identification is all travel actual speed track in section and the similarity of ideal velocity track, obtain the monitoring result corresponding to driving behavior in whole driving section.This mode of operation can balanced judge the driving behavior in whole driving section, and driver's driving behavior is carried out to overall assessment.
The technical scheme that the present embodiment provides, can the speed track based on the section that travels be that monitoring and evaluation is carried out in driving behavior, can accurately must reflect driving behavior, and without vehicle parameter is manually set, simple operation, reliability is high.
On the basis of technique scheme, after the similarity of identification described actual speed track and ideal velocity track is as monitoring result, also comprise: in the time that current driving section finishes, monitoring result is exported with reminding user; Or after whole driving procedure finishes, monitoring result is exported with reminding user.
On the basis of technique scheme, after the similarity of identification described actual speed track and ideal velocity track is as monitoring result, also comprise: the overall merit mark that calculates whole driving section according to following formula:
Wherein, mark is the overall merit mark in whole driving section, and i is the sequence number of section of travelling, and n is the quantity of section of travelling, k
ifor the i obtaining according to the road parameters of section of the travelling weighted value of section in whole driving section that travel, A
ibe travel actual speed track on section and the similarity of ideal velocity track of i.
Further, driving behavior monitoring method also comprises weighted value k
idetermine, be specially: determine weighted value k according to i distance proportion, absolute distance value, vehicle flowrate and/or the road type that section occupies in whole driving section that travel
i.For example, travel distance proportion, absolute distance value that section occupies in whole driving section of i is larger, weighted value k
ijust larger; Or set the i road type of the section k while being national highway that travels
imaximum, weighted value k during for provincial highway, major trunk roads, high speed city or inner ring road
ireduce successively.
Above-mentioned by monitoring result being exported or calculated overall merit mark, can a kind of more directly perceived, vivid mode give user in prompting, facilitate user to adjust in time the driving behavior of oneself.The mode that employing arranges weight obtains overall merit mark, can give prominence to as required the evaluation to key road segment driving behavior.
It should be noted that, road traffic condition based on actual is comparatively complicated and changeable, many times can cause driver's temporary parking or give it the gun the short period, if obtain vehicle location and car speed generation actual speed track at this moment in section, obviously can make the accuracy of monitoring result reduce.In order to monitor more accurately driver's driving behavior, after getting the ideal velocity track and actual speed track travelling in section, before the similarity of the described actual speed track of identification and ideal velocity track, can carry out pre-service to the ideal velocity track and the actual speed track that travel in section, this pre-service includes but not limited to: remove the minimum and maximum setting quantity tracing point of vehicle actual speed in the interior actual speed track of the section that travels, remove the corresponding tracing point in ideal velocity track in the section that travels simultaneously.
Embodiment bis-
Fig. 2 is the schematic flow sheet of a kind of driving behavior monitoring method of providing of the embodiment of the present invention two.The present embodiment can, taking above-described embodiment as basis, provide a kind of preferred embodiment, and this embodiment is applicable to be equipped in smart mobile phone on vehicle as driving behavior monitoring device, the sight that driver's driving behavior is monitored.Referring to Fig. 2, this driving behavior monitoring method specifically comprises following operation:
210, be divided at least two different sections that travel by driving section;
220, obtain the actual travel speed of vehicle at least two positions in each travels section by the satellite positioning module in smart mobile phone, generate the actual speed track of each section that travels;
230, obtain the road parameters of each section that travels, determine the desirable travel speed corresponding to described at least two positions in each section that travels according to obtained road parameters, generate the ideal velocity track of each section that travels;
240, calculate the similarity between each actual speed track and ideal velocity track travelling in section, as monitoring result;
250, corresponding the calculated section that respectively travels Similarity-Weighted summation is obtained to overall merit mark.
For the driving behavior monitoring method that more detailed description the present embodiment provides, now illustrate:
First, driving section is divided into n the section that travels, and is Q to n the segment mark that travels
1, Q
2q
n, wherein the speed limit of each section that travels approaches as far as possible;
Secondly, at Vehicle Driving Cycle at Q
i(i=1,2,3 ... or n) while travelling section, utilize the satellite positioning module in smart mobile phone, and obtain at set intervals actual travel speed and the residing positional information of vehicle of a vehicle, form vehicle at this actual speed track f travelling in section
i(x, y); From road parameters database, obtain the road parameters of this section that travels, and utilize these road parameters to produce ideal velocity track g
i(x, y); Utilize DTW (Dynamic Time Warping, dynamic time warping) algorithm to calculate f
i(x, y) and g
ithe similarity A of (x, y)
iif, distance A
iless judge the driving behavior of the section that should travel more accurate.Wherein, (x, y) is the longitude and latitude of obtained vehicle location.
And then, for above n the section that travels, calculate respectively n similarity A
1, A
2, A
3a
nas the monitoring result of the section that travels corresponding to difference, and from road parameters data, obtain the weighted value k of the section that respectively travels
1, k
2, k
3k
n, utilize the weighting formula described in embodiment mono-to obtain overall merit mark:
Finally, according to overall merit mark and corresponding to the travel monitoring result of section of difference, give user's driving behavior evaluation result in the mode of word or voice.
The present embodiment, without be equipped with extra locating device to vehicle, only needs a smart mobile phone can realize driving behavior monitoring method, can save like this expense consuming because being equipped with extra locating device.The technical scheme that the present embodiment provides can be applicable in the navigational system in smart mobile phone, and navigational system not only can, for user drives to escort, after navigation finishes, can be evaluated user's driving behavior simultaneously, experiences with interactive to improve user.
Embodiment tri-
Fig. 3 is the structural representation of a kind of driving behavior monitoring device of providing of the embodiment of the present invention three.The present embodiment is applicable to the driving behavior to driver is monitored in Vehicle Driving Cycle process situation.Referring to Fig. 3, the concrete structure of this driving behavior monitoring device is as follows:
Actual speed track acquiring unit 310, for obtaining the actual speed track travelling in section;
Ideal velocity track acquiring unit 320, obtains ideal velocity track for the road parameters of travelling described in basis in section;
Track similarity recognition unit 330, for identifying the similarity of described actual speed track and ideal velocity track, as monitoring result.
Further, described device also comprises the section determining unit 300 of travelling, for before described actual speed track acquiring unit 310 obtains the actual speed track travelling in section:
At least two sections that travel are divided to according to road parameters in path between predefined starting point and point of destination; Or
From predefined starting point, road parameters is defined as to current driving section in the section of coupling continuously.
Further, ideal velocity track acquiring unit 320, specifically for:
Determine ideal velocity track according to the variation of road speed limit, road type, vehicle flowrate and/or the signal lamp of the described section that travels; Or
Determine ideal velocity track according to signal lamp, vehicle flowrate and/or the average overall travel speed of current time and current driving position.
Further, track similarity recognition unit 330, specifically for:
Respectively travel actual speed track in section and the similarity of ideal velocity track of identification, obtains the monitoring result corresponding to the section driving behavior of respectively travelling one by one; Or
Entirety identification is all travel actual speed track in section and the similarity of ideal velocity track, obtain the monitoring result corresponding to driving behavior in whole driving section.
Further, described device also comprises evaluation score computing unit 340, for the similarity of identifying described actual speed track and ideal velocity track at described track similarity recognition unit 330 as monitoring result after, calculate the overall merit mark in whole driving section according to following formula:
Wherein, mark is the overall merit mark in whole driving section, and i is the sequence number of section of travelling, and n is the quantity of section of travelling, k
ifor the i obtaining according to the road parameters of section of the travelling weighted value of section in whole driving section that travel, A
ibe travel actual speed track on section and the similarity of ideal velocity track of i.
Further, described device also comprises weighted value determining unit 335, for:
Determine weighted value k according to i distance proportion, absolute distance value, vehicle flowrate and/or the road type that section occupies in whole driving section that travel
i.
Further, described device also comprises monitoring reminding unit 350, for the similarity of identifying described actual speed track and ideal velocity track at described track similarity recognition unit 330 as monitoring result after, in the time that current driving section finishes, described monitoring result is exported with reminding user; Or after whole driving procedure finishes, described monitoring result is exported with reminding user.
The said goods can be carried out the method that any embodiment of the present invention provides, and possesses the corresponding functional module of manner of execution and beneficial effect.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious variations, readjust and substitute and can not depart from protection scope of the present invention.Therefore, although the present invention is described in further detail by above embodiment, the present invention is not limited only to above embodiment, in the situation that not departing from the present invention's design, can also comprise more other equivalent embodiment, and scope of the present invention is determined by appended claim scope.
Claims (14)
1. a driving behavior monitoring method, is characterized in that, comprising:
Obtain the actual speed track travelling in section;
Obtain ideal velocity track according to described road parameters of travelling in section;
Identify the similarity of described actual speed track and ideal velocity track, as monitoring result.
2. driving behavior monitoring method according to claim 1, is characterized in that, before obtaining the actual speed track travelling in section, also comprises:
At least two sections that travel are divided to according to road parameters in path between predefined starting point and point of destination; Or
From predefined starting point, road parameters is defined as to current driving section in the section of coupling continuously.
3. driving behavior monitoring method according to claim 1, is characterized in that, obtains ideal velocity track according to described road parameters of travelling in section, comprising:
Determine ideal velocity track according to the variation of road speed limit, road type, vehicle flowrate and/or the signal lamp of the described section that travels; Or
Determine ideal velocity track according to signal lamp, vehicle flowrate and/or the average overall travel speed of current time and current driving position.
4. driving behavior monitoring method according to claim 1, is characterized in that, identifies the similarity of described actual speed track and ideal velocity track, as monitoring result, comprising:
Respectively travel actual speed track in section and the similarity of ideal velocity track of identification, obtains the monitoring result corresponding to the section driving behavior of respectively travelling one by one; Or
Entirety identification is all travel actual speed track in section and the similarity of ideal velocity track, obtain the monitoring result corresponding to driving behavior in whole driving section.
5. driving behavior monitoring method according to claim 1, it is characterized in that, after the similarity of identification described actual speed track and ideal velocity track is as monitoring result, also comprise: the overall merit mark that calculates whole driving section according to following formula:
Wherein, mark is the overall merit mark in whole driving section, and i is the sequence number of section of travelling, and n is the quantity of section of travelling, k
ifor the i obtaining according to the road parameters of section of the travelling weighted value of section in whole driving section that travel, A
ibe travel actual speed track on section and the similarity of ideal velocity track of i.
6. driving behavior monitoring method according to claim 5, is characterized in that, also comprises:
Determine weighted value k according to i distance proportion, absolute distance value, vehicle flowrate and/or the road type that section occupies in whole driving section that travel
i.
7. driving behavior monitoring method according to claim 1, it is characterized in that, after the similarity of identification described actual speed track and ideal velocity track is as monitoring result, also comprise: in the time that current driving section finishes, described monitoring result is exported with reminding user; Or after whole driving procedure finishes, described monitoring result is exported with reminding user.
8. a driving behavior monitoring device, is characterized in that, comprising:
Actual speed track acquiring unit, for obtaining the actual speed track travelling in section;
Ideal velocity track acquiring unit, obtains ideal velocity track for the road parameters of travelling described in basis in section;
Track similarity recognition unit, for identifying the similarity of described actual speed track and ideal velocity track, as monitoring result.
9. driving behavior monitoring device according to claim 8, is characterized in that, also comprises the section determining unit of travelling, for before described actual speed track acquiring unit obtains the actual speed track travelling in section:
At least two sections that travel are divided to according to road parameters in path between predefined starting point and point of destination; Or
From predefined starting point, road parameters is defined as to current driving section in the section of coupling continuously.
10. driving behavior monitoring device according to claim 8, is characterized in that, described ideal velocity track acquiring unit, specifically for:
Determine ideal velocity track according to the variation of road speed limit, road type, vehicle flowrate and/or the signal lamp of the described section that travels; Or
Determine ideal velocity track according to signal lamp, vehicle flowrate and/or the average overall travel speed of current time and current driving position.
11. driving behavior monitoring devices according to claim 8, is characterized in that, described track similarity recognition unit, specifically for:
Respectively travel actual speed track in section and the similarity of ideal velocity track of identification, obtains the monitoring result corresponding to the section driving behavior of respectively travelling one by one; Or
Entirety identification is all travel actual speed track in section and the similarity of ideal velocity track, obtain the monitoring result corresponding to driving behavior in whole driving section.
12. driving behavior monitoring devices according to claim 8, it is characterized in that, also comprise evaluation score computing unit, for the similarity of identifying described actual speed track and ideal velocity track at described track similarity recognition unit as monitoring result after, calculate the overall merit mark in whole driving section according to following formula:
Wherein, mark is the overall merit mark in whole driving section, and i is the sequence number of section of travelling, and n is the quantity of section of travelling, k
ifor the i obtaining according to the road parameters of section of the travelling weighted value of section in whole driving section that travel, A
ibe travel actual speed track on section and the similarity of ideal velocity track of i.
13. driving behavior monitoring devices according to claim 12, is characterized in that, also comprise weighted value determining unit, for:
Determine weighted value k according to i distance proportion, absolute distance value, vehicle flowrate and/or the road type that section occupies in whole driving section that travel
i.
14. driving behavior monitoring devices according to claim 8, it is characterized in that, also comprise monitoring reminding unit, for the similarity of identifying described actual speed track and ideal velocity track at described track similarity recognition unit as monitoring result after, in the time that current driving section finishes, described monitoring result is exported with reminding user; Or after whole driving procedure finishes, described monitoring result is exported with reminding user.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104992560A (en) * | 2015-06-26 | 2015-10-21 | 深圳市元征科技股份有限公司 | Processing method for running route data, and server |
| CN106157608A (en) * | 2015-03-23 | 2016-11-23 | 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 |
| CN107368069A (en) * | 2014-11-25 | 2017-11-21 | 浙江吉利汽车研究院有限公司 | The generation method and generating means of automatic Pilot control strategy based on car networking |
| CN107784587A (en) * | 2016-08-25 | 2018-03-09 | 大连楼兰科技股份有限公司 | A kind of driving behavior evaluation system |
| CN109720353A (en) * | 2018-12-27 | 2019-05-07 | 南京航空航天大学 | A kind of driving behavior detection method based on smart phone |
| CN112805724A (en) * | 2021-01-08 | 2021-05-14 | 华为技术有限公司 | Vehicle driving scene recognition method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000155123A (en) * | 1998-09-17 | 2000-06-06 | Toshiba Corp | Method and system for image processing for measuring velocity of moving body |
| CN101692308A (en) * | 2009-10-12 | 2010-04-07 | 南通大学 | Motor vehicle speed intelligent monitoring system based on radio frequency identification |
| CN102222408A (en) * | 2010-04-13 | 2011-10-19 | 深圳市赛格导航科技股份有限公司 | Method for reporting blocked road sections, unblocked road sections and driving conditions and vehicle-mounted navigation equipment |
| CN103106794A (en) * | 2013-01-11 | 2013-05-15 | 福建工程学院 | Road traffic energy-saving method based on probe vehicle technology |
| CN103247091A (en) * | 2012-02-07 | 2013-08-14 | 厦门金龙联合汽车工业有限公司 | Driving evaluation system and driving evaluation method |
| CN103786733A (en) * | 2013-12-27 | 2014-05-14 | 宁波大学 | Environment-friendly driving behavior prompting method for automatic transmission automobile |
-
2014
- 2014-06-09 CN CN201410252819.7A patent/CN103996298B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000155123A (en) * | 1998-09-17 | 2000-06-06 | Toshiba Corp | Method and system for image processing for measuring velocity of moving body |
| CN101692308A (en) * | 2009-10-12 | 2010-04-07 | 南通大学 | Motor vehicle speed intelligent monitoring system based on radio frequency identification |
| CN102222408A (en) * | 2010-04-13 | 2011-10-19 | 深圳市赛格导航科技股份有限公司 | Method for reporting blocked road sections, unblocked road sections and driving conditions and vehicle-mounted navigation equipment |
| CN103247091A (en) * | 2012-02-07 | 2013-08-14 | 厦门金龙联合汽车工业有限公司 | Driving evaluation system and driving evaluation method |
| CN103106794A (en) * | 2013-01-11 | 2013-05-15 | 福建工程学院 | Road traffic energy-saving method based on probe vehicle technology |
| CN103786733A (en) * | 2013-12-27 | 2014-05-14 | 宁波大学 | Environment-friendly driving behavior prompting method for automatic transmission automobile |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107368069A (en) * | 2014-11-25 | 2017-11-21 | 浙江吉利汽车研究院有限公司 | The generation method and generating means of automatic Pilot control strategy based on car networking |
| CN106157608A (en) * | 2015-03-23 | 2016-11-23 | 高德软件有限公司 | Information processing method and device |
| 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 |
| CN104992560A (en) * | 2015-06-26 | 2015-10-21 | 深圳市元征科技股份有限公司 | Processing method for running route data, and server |
| CN107784587A (en) * | 2016-08-25 | 2018-03-09 | 大连楼兰科技股份有限公司 | A kind of driving behavior evaluation system |
| CN109720353A (en) * | 2018-12-27 | 2019-05-07 | 南京航空航天大学 | A kind of driving behavior detection method based on smart phone |
| CN109720353B (en) * | 2018-12-27 | 2020-11-17 | 南京航空航天大学 | Driving behavior detection method based on smart phone |
| CN112805724A (en) * | 2021-01-08 | 2021-05-14 | 华为技术有限公司 | Vehicle driving scene recognition method and device |
| WO2022147785A1 (en) * | 2021-01-08 | 2022-07-14 | 华为技术有限公司 | Autonomous driving scenario identifying method and apparatus |
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