CN109523787A - A kind of fatigue driving analysis method based on vehicle pass-through track - Google Patents
A kind of fatigue driving analysis method based on vehicle pass-through track Download PDFInfo
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- CN109523787A CN109523787A CN201811459478.5A CN201811459478A CN109523787A CN 109523787 A CN109523787 A CN 109523787A CN 201811459478 A CN201811459478 A CN 201811459478A CN 109523787 A CN109523787 A CN 109523787A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
Abstract
A kind of fatigue driving analysis method based on vehicle pass-through track obtains the mobile unit that data are installed not against vehicle itself, can guarantee the objectivity of data, and can be with real-time data collection, and actively sound an alarm, law enfrocement official is assisted to carry out law enforcement.Comprising: S1: obtaining the bayonet for all analyzed vehicle approach before starting that calculate using head bayonet Ks as starting point；S2: it calculates and spends vehicle time difference, navigation distance between the adjacent bayonet that head bayonet Ks is starting point；S3: choosing a detection section, and detection the last one bayonet of section is denoted as tail bayonet Ke；S4: from the beginning bayonet Ks starts to calculate the average passage speed between adjacent bayonet until tail bayonet Ke；S5: according to road type, threshold speed, judgement has the suspected vehicles of fatigue driving suspicion；S6: the picture of the suspected vehicles of all bayonet shootings is extracted；S7: confirmation drivers information；S8: if there is no the phenomenon that replacement driver, then it is judged as fatigue driving vehicle.
Description
Technical field
The present invention relates to technical field of control over intelligent traffic, specially a kind of fatigue driving based on vehicle pass-through track point
Analysis method.
Background technique
With the high speed development of current economic society, the flourishing of material flow industry grows, and passenger and freight market competition is growing more intense,
Some car owners, driver continuously drive for a long time in order to seek economic interests, lead to fatigue driving phenomenon occur, repeatedly cause
Serious road traffic accident.In the prior art, the method about fatigue driving analysis is mainly based upon all kinds of mobile unit acquisitions
Data carry out, this kind of analysis methods are it is difficult to ensure that data have completeness and efficiency, and there are data are not complete and data quilt
The risk distorted, and the premise of such methods be need to install relevant mobile unit in advance, once vehicle is fitted without vehicle
Equipment or mobile unit damage are carried, will lead to law enfrocement official can not obtain related data.
Summary of the invention
In order to solve fatigue driving in the prior art dependent on mobile unit, data is caused to have security risks, Yi Jiche
Carrying equipment damage will lead to the problem of can not collecting evidence, and the present invention provides a kind of fatigue driving analysis side based on vehicle pass-through track
Method obtains the mobile unit that data are installed not against vehicle itself, can guarantee the objectivity of data, and can acquire in real time
Data, and actively sound an alarm, assist law enfrocement official to carry out law enforcement.
The technical scheme is that such: a kind of fatigue driving analysis method based on vehicle pass-through track, it is special
Sign is comprising following steps:
S1: first bayonet for needing to analyze is denoted as a bayonet Ks, is calculated before starting using the head bayonet Ks as starting point acquisition
The bayonet of all analyzed vehicle approach；
S2: extracting vehicle driving trace, calculates and spends the vehicle time between the adjacent bayonet of every a pair that the head bayonet Ks is starting point
Poor ti, navigation distance si；
S3: choosing a detection section, and described the last one bayonet passed through of detection section is denoted as tail bayonet Ke；
S4: pass through the navigation distance siVehicle time difference t is crossed with describedi, to the tail bayonet Ke since the head bayonet Ks
Until, calculate the average passage speed v between the adjacent bayonet of every a pairi
vi = si/ti；
S5: according to the road type in the section at place between the adjacent bayonet of every a pair, it is preset with a threshold speed respectively
ωi, pass through the average passage speed v between the adjacent bayonet of every a pairiWith the corresponding threshold speed ωiInto
Row calculates, it can be determined that whether analyzed vehicle has the behavior of parking rest between bayonet pair, if adjacent in every a pair
Bayonet pair between section on, all without parking rest, then may determine that analyzed vehicle has fatigue driving suspicion, record this
Vehicle is suspected vehicles；
S6: being directed to each described suspected vehicles, respectively since the head bayonet Ks until the tail bayonet Ke, extracts institute
The picture for the suspected vehicles for thering is bayonet to shoot；
S7: image recognition is carried out by picture of the face recognition technology to the suspected vehicles, confirms drivers information；
S8: if there is no the phenomenon that replacement driver, then it is judged as fatigue driving vehicle, institute is pushed by traffic control platform
The information of fatigue driving vehicle is stated to road law enfrocement official, subsequent artificial judgment is carried out by road law enfrocement official, this analysis
Terminate.
It is further characterized by:
The choosing method that the detection section is chosen in step S3 includes the following steps:
S3-1: since first vehicle time difference excessively, add up the vehicle time difference t excessivelyi, obtain cumulative running time T；
S3-2: when the cumulative running time T is greater than preset fatigue driving threshold time, the section of process is set as described
Detect section；
Pass through the average passage speed v in step S5iWith the corresponding threshold speed ωiIt is calculated, in turn
Judge to be detected whether vehicle has the calculation method of parking behavior to include the following steps:
S5-1: pass through the average passage speed viWith the corresponding threshold speed ωiCalculate the adjacent card of every a pair
The probable value p that vehicle continuously drives between mouthfuli；
S5-2: pass through all probable value pi, calculate the continuous possibility P of vehicle
P = ；
S5-3: the threshold speed set in reality according to road type can be influenced accuracy by the difference of driver and road conditions,
Therefore setting one continuously drives possibility threshold value δ, and the continuous possibility P of the vehicle is continuously driven possibility threshold value δ with described
Compare, as P > δ, recording this vehicle is suspected vehicles；
After step S5-3, it is also necessary to execute following step:
S5-4: as P < δ, recording this vehicle is tracing detection vehicle；
S5-5: the tracing detection vehicle calculated first probable value p less than 1 in step S5-1 is found outi,
Tail bayonet in that corresponding a pair of adjacent bayonet of this described probable value pi is set as the head bayonet Ks；
S5-6: repeating step S1 to S5, until the data in the qualified detection section can not be obtained from tollgate devices, this
Analysis terminates；
The value range for continuously driving possibility threshold value δ is [0.8,0.9].
A kind of fatigue driving analysis method based on vehicle pass-through track provided by the invention is detached from vehicle itself and installs
Mobile unit, be based on existing public resource, by average overall travel speed of the vehicle on the section of each bayonet pair with
The contrast conting of threshold speed, whether analysis vehicle has parking behavior, and is confirmed whether exist more by face recognition technology
The behavior of driver is changed, and then judges whether continuously drive on being detected section；Data are to control equipment by public transport
Automatic collection will not be distorted by individual, will not lead to loss of data because of the damage of personal device, it is ensured that the objectivity of data
And safety；After being calculated by real time data, suspected vehicles are notified law enfrocement official, can be handled in time law enfrocement official
Suspected vehicles reduce the probability of traffic accidents generation.
Detailed description of the invention
Fig. 1 is the flowage structure schematic diagram of this method.
Specific embodiment
As shown in Figure 1, a kind of fatigue driving analysis method based on vehicle pass-through track of the present invention, which is characterized in that its
The following steps are included:
S1: first bayonet for needing to analyze is denoted as a bayonet Ks, is obtained using head bayonet Ks as starting point and calculates owning before starting
The bayonet of analyzed vehicle approach；
S2: extracting vehicle driving trace, calculates and crosses vehicle time difference t between the adjacent bayonet of every a pair that head bayonet Ks is starting pointi、
The navigation distance s between adjacent bayonet obtained using Map Servicei；
S3: choosing a detection section, the last one bayonet passed through of detection section is denoted as tail bayonet Ke；
S4: pass through navigation distance siWith vehicle time difference t excessivelyi, from the beginning bayonet Ks starts until tail bayonet Ke, calculates every a pair of of phase
Average passage speed v between adjacent bayoneti
vi = si/ti；
S5: according to the road type in the section at place between the adjacent bayonet of every a pair, it is preset with a threshold speed respectively
ωi, pass through the average passage speed v between the adjacent bayonet of every a pairiWith corresponding threshold speed ωiIt is calculated, it can
To judge whether analyzed vehicle has the behavior stopped and rested between adjacent bayonet pair, if the card adjacent in every a pair
Mouth all without parking rest, then may determine that analyzed vehicle has fatigue driving suspicion, record this vehicle on the section between
For suspected vehicles；By the way that different threshold speed ω is arranged to different types of roadI,Make each average passage speed viRatio
It is compared according to real road situation to being all, and then guarantees authenticity, the accuracy of calculated result；
S6: being directed to each suspected vehicles, and from the beginning bayonet Ks starts until tail bayonet Ke respectively, extracts all bayonet shootings
The picture of suspected vehicles；
S7: image recognition is carried out by picture of the face recognition technology to suspected vehicles, confirms drivers information；
S8: if there is no the phenomenon that replacement driver, then it is judged as fatigue driving vehicle, is pushed by traffic control platform tired
Please the information of vehicle is sailed to road law enfrocement official, subsequent artificial judgment is carried out by road law enfrocement official, this analysis terminates.
The choosing method that detection section is chosen in step S3 includes the following steps:
S3-1: since it's the vehicle time difference is past first, added up vehicle time difference ti, obtain cumulative running time T；
S3-2: when cumulative running time T is greater than preset fatigue driving threshold time, the section of process is set as detection road
Section；
" continuous driving maneuver is provided according to " People's Republic of China Road Traffic Safety Law Implementation Regulations " 62 Section 7
Vehicle is more than four hours, and do not stop rest or time of having a rest of stopping were less than 20 minutes " for fatigue driving, so fatigue is driven
Threshold time is sailed to be set as 4 hours；
Detection section is limited by cumulative running time, if being detected vehicle there are the time of having a rest in detection section and examining
The running time in section is surveyed certainly less than 4 hours, operating range is certainly less than the operating range continuously driven.
Pass through average passage speed v in step S5iWith corresponding threshold speed ωiIt is calculated, and then judges quilt
Whether detection vehicle has the calculation method of parking behavior to include the following steps:
S5-1: pass through average passage speed viWith corresponding threshold speed ωiCalculate vehicle between the adjacent bayonet of every a pair
The probable value p continuously driveni；
S5-2: pass through all probable value pi, calculate the continuous possibility P of vehicle
P = ；It finds in actual operation, it can be by the difference of driver and road conditions according to the threshold speed that road type is set
It is different and influence accuracy, therefore be arranged one and continuously drive possibility threshold value δ and the error that may be present of threshold speed is entangled
Just, make conclusion closer to truth, it is ensured that the accuracy of scenario outcomes；
S5-3: according to analyzed vehicle by the difference of section road type, a company is respectively set to different detection sections
It continues and sails possibility threshold value δ, the continuous possibility P of vehicle compared with continuously driving possibility threshold value δ, as P > δ, record this vehicle
Be suspected vehicles；The value range for continuously driving possibility threshold value δ is [0.8,0.9], and technical staff can be according to specific road
The installation situation of tollgate devices in road type and road is chosen for each type of detection section and continuously drives possibility threshold
The corresponding specific value of value δ, makes calculated result that can more reflect actual conditions；
S5-4: as P < δ, recording this vehicle is tracing detection vehicle；
S5-5: tracing detection vehicle calculated first probable value p less than 1 in step S5-1 is found outi, may this
The tail bayonet of that corresponding a pair of adjacent bayonet centering of value pi is set as a bayonet Ks；
S5-6: repeating step S1 to S5, until the data in qualified detection section can not be obtained from tollgate devices, represents vehicle
Stop traveling, this analysis terminates.
Specific implementation method of the invention is exemplified below:
Table 1 be have recorded from extracted in public transport monitoring device it is specific one detection section in bayonet, road type,
The table of the relevant informations such as time, as follows in detail:
The details in the detection of table 1 section
By 1 content of table it is found that target vehicle is from 11:00 to 15:23, Ks to Ke is successively passed through in running time T=4.38 of adding up
Between totally 5 bayonets, the section of approach is 4, i.e. i=4.
According to the latitude and longitude information of this 5 bayonets, the route that specifically passes through between adjacent bayonet is obtained using navigation Service
Navigation distance is obtained, is respectively:
s1=110 highways, s2=85 kilometers, s3=20 kilometers, s4=114 kilometers；
Then vehicle average rate between adjacent bayonet is respectively obtained are as follows:
v1=82.5 kilometers/hour, v2=68 kilometers/hour, v3=44.4 kilometers/hour, v4=96.3 kilometers/hour；
Before calculating vehicle fatigue driving suspicion degree, vehicle pass-through speed mean value threshold value is first set according to road type:
High speed average rate is ω1 =80 kilometers/hour, provincial highway average rate ω2 =60 kilometers/hour, city road ω3 =40 kilometers/small
When, super expressway ω4 =80 kilometers/hour；
Pass through average passage speed viWith corresponding threshold speed ωiCalculate what vehicle between every a pair of of bayonet continuously drove
Probable value pi:
p1 = 1、p2 = 1、p3 = 1、p4=1,
By the value discovery being respectively compared between average rate and threshold value, vehicle is travelled from bayonet A to the average rate of bayonet B and high speed average rate
Threshold ratio is greater than 1, therefore assert that vehicle is to continuously drive from bayonet A to bayonet B.It can similarly assert vehicle from bayonet B to bayonet
C continuously drives, rest of not stopping from bayonet C to bayonet D and from bayonet D to bayonet E；
The value of the continuous possibility P of vehicle are as follows:
P = p1* p2* p3* p4= 1；
The value range for continuously driving possibility threshold value δ is [0.8,0.9], and no matter δ takes any one value, and P is centainly greater than δ,
I other words:
Vehicle is detected from bayonet A to bayonet E, the vehicle time difference that crosses of vehicle is more than 4 hours, therefore assert that vehicle continuously drives and be more than
4 hours, has fatigue driving suspicion, recording this vehicle is suspected vehicles；
For suspected vehicles, from the beginning bayonet Ks starts the figure that the suspected vehicles of all bayonet shootings are extracted until tail bayonet Ke
Piece carries out image recognition by picture of the face recognition technology to suspected vehicles, and whether confirmation driver occurred change
Assert vehicle drive people whether fatigue driving, after being pushed to law enfrocement official, there is law enfrocement official to carry out subsequent manual confirmation.
Using technical solution of the present invention, independent of the mobile unit that vehicle itself is installed, and existing road is used
Monitoring device, and algorithm clear thinking, it is convenient to realize, the technical solution of traffic safety control is carried out as traffic control department, is had
The characteristics of low cost, high efficiency, high-accuracy；There is the vehicle of fatigue driving behavior to be pushed to road in the method for this programme
Then law enfrocement official carries out subsequent artefacts' judgement by law enfrocement official, reduces the workload of artificial screening early period, improve law enforcement
Efficiency；And can be with the suspectable vehicle of automatic identification, rather than place to go director is former again after traffic accident generation, effectively prevents
Traffic accident.
Claims (5)
1. a kind of fatigue driving analysis method based on vehicle pass-through track, which is characterized in that itself the following steps are included:
S1: first bayonet for needing to analyze is denoted as a bayonet Ks, is calculated before starting using the head bayonet Ks as starting point acquisition
The bayonet of all analyzed vehicle approach；
S2: extracting vehicle driving trace, calculates and spends the vehicle time between the adjacent bayonet of every a pair that the head bayonet Ks is starting point
Poor ti, navigation distance si；
S3: choosing a detection section, and described the last one bayonet passed through of detection section is denoted as tail bayonet Ke；
S4: pass through the navigation distance siVehicle time difference t is crossed with describedi, it is to the tail bayonet Ke since the head bayonet Ks
Only, the average passage speed v between the adjacent bayonet of every a pair is calculatedi
vi = si/ti；
S5: according to the road type in the section at place between the adjacent bayonet of every a pair, it is preset with a threshold speed ω respectivelyi,
Pass through the average passage speed v between the adjacent bayonet of every a pairiWith the corresponding threshold speed ωiIt is counted
It calculates, it can be determined that whether analyzed vehicle has the behavior of parking rest between bayonet pair, if the card adjacent in every a pair
Mouth all without parking rest, then may determine that analyzed vehicle has fatigue driving suspicion, record this vehicle on the section between
For suspected vehicles；
S6: being directed to each described suspected vehicles, respectively since the head bayonet Ks until the tail bayonet Ke, extracts institute
The picture for the suspected vehicles for thering is bayonet to shoot；
S7: image recognition is carried out by picture of the face recognition technology to the suspected vehicles, confirms drivers information；
S8: if there is no the phenomenon that replacement driver, then it is judged as fatigue driving vehicle, institute is pushed by traffic control platform
The information of fatigue driving vehicle is stated to road law enfrocement official, subsequent artificial judgment is carried out by road law enfrocement official, this analysis
Terminate.
2. a kind of fatigue driving analysis method based on vehicle pass-through track according to claim 1, it is characterised in that: step
The choosing method that the detection section is chosen in S3 includes the following steps:
S3-1: since first vehicle time difference excessively, add up the vehicle time difference t excessivelyi, obtain cumulative running time T；
S3-2: when the cumulative running time T is greater than preset fatigue driving threshold time, the section of process is set as described
Detect section.
3. a kind of fatigue driving analysis method based on vehicle pass-through track according to claim 1, it is characterised in that: step
Pass through the average passage speed v in S5iWith the corresponding threshold speed ωiIt is calculated, and then judges to be detected
Whether vehicle has the calculation method of parking behavior to include the following steps:
S5-1: pass through the average passage speed viWith the corresponding threshold speed ωiCalculate the adjacent bayonet of every a pair
Between the probable value p that continuously drives of vehiclei；
S5-2: pass through all probable value pi, calculate the continuous possibility P of vehicle
P =；
S5-3: the threshold speed set in reality according to road type can be influenced accuracy by the difference of driver and road conditions,
Therefore setting one continuously drives possibility threshold value δ, and the continuous possibility P of the vehicle is continuously driven possibility threshold value δ with described
Compare, as P > δ, recording this vehicle is suspected vehicles.
4. a kind of fatigue driving analysis method based on vehicle pass-through track according to claim 3, it is characterised in that: in step
After rapid S5-3, it is also necessary to execute following step:
S5-4: as P < δ, recording this vehicle is tracing detection vehicle；
S5-5: the tracing detection vehicle calculated first probable value p less than 1 in step S5-1 is found outi,
Tail bayonet in that corresponding a pair of adjacent bayonet of this described probable value pi is set as the head bayonet Ks；
S5-6: repeating step S1 to S5, until the data in the qualified detection section can not be obtained from tollgate devices, this
Analysis terminates.
5. a kind of fatigue driving analysis method based on vehicle pass-through track according to claim 3, it is characterised in that: described
The value range for continuously driving possibility threshold value δ is [0.8,0.9].
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| CN110491157A (en) * | 2019-07-23 | 2019-11-22 | 中山大学 | A kind of vehicle correlating method based on parking data and bayonet data |
| CN111161546A (en) * | 2020-04-02 | 2020-05-15 | 武汉中科通达高新技术股份有限公司 | Key vehicle checking method and system for traffic management system |
| CN111696349A (en) * | 2020-06-10 | 2020-09-22 | 长威信息科技发展股份有限公司 | Fatigue driving distinguishing method based on real-time traffic condition of road section |
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