CN107226093A - A kind of truck man fatigue driving determination methods - Google Patents

A kind of truck man fatigue driving determination methods Download PDF

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Publication number
CN107226093A
CN107226093A CN201710359386.9A CN201710359386A CN107226093A CN 107226093 A CN107226093 A CN 107226093A CN 201710359386 A CN201710359386 A CN 201710359386A CN 107226093 A CN107226093 A CN 107226093A
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China
Prior art keywords
time
driving
fatigue
fatigue driving
same day
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CN201710359386.9A
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Inventor
惠飞
贾硕
何朋朋
武晓洁
王龙飞
周琪
李腾龙
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Changan University
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Changan University
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Priority to CN201710359386.9A priority Critical patent/CN107226093A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B60W40/105Speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/0098Details of control systems ensuring comfort, safety or stability not otherwise provided for
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2520/00Input parameters relating to overall vehicle dynamics
    • B60W2520/04Vehicle stop
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2520/00Input parameters relating to overall vehicle dynamics
    • B60W2520/10Longitudinal speed

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Traffic Control Systems (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a kind of truck man fatigue driving determination methods, comprise the following steps:1) single fatigue driving number of times, accumulative fatigue driving number of times, the same day accumulative driving time and the continuous driving time of single are reset first;Then judge that a certain moment vehicle is in dead ship condition in transport condition;2) in motion between time difference of adjacent two data is calculated in list, judge that vehicle, whether in the state continuously driven, judges whether the down time during continuously driving meets the time of road safety standard according to the time difference;3) judge whether the continuous driving time of single and the same day accumulative driving time that added up have reached the standard of fatigue driving.The present invention can evaluate whether truck man meets road safety standard in driving procedure, constrain the driving behavior of driver, the safe operation of powerful guarantee road.

Description

A kind of truck man fatigue driving determination methods
Technical field
The present invention relates to road safety field, and in particular to a kind of truck man fatigue driving determination methods, from lorry The driving time of driver is analyzed in OBD speed informations and judges whether to be in fatigue driving state.
Background technology
Nowadays, because tired driver drive and occur accident it is more and more, thus caused financial losses and The trend of cumulative year after year is also presented in the Casualty Vulnerability Number of personnel.But freight traffic management department, traffic administration institute and loglstics enterprise are for fatigue Drive never rational judgement and treatment measures.The monitoring method to fatigue driving mainly uses ECG signal at present The approach of measurement physiological driver's information such as detection, EEG signal detection, also has the behavioural characteristic based on driver, such as right Facial feature detection, to modes such as gaze trackings, these modes have used substantial amounts of sensor, such as electrocardiogram is believed Number collecting device, EEG signal collecting device, camera device etc..Bang in 2012 is bright, the hair of Tang Guogang et al. published application Bright patent《Method for detecting fatigue driving and anti-fatigue-driving servicing unit》(publication number:102717765A), the invention provides A kind of road video information in method for detecting fatigue driving and anti-fatigue-driving servicing unit, collection vehicle traveling process so as to Calculate wheel line ball frequency information, and with road type information, steering wheel operation data, Throttle Opening Control data where vehicle with And current driving duration and season information, analysis obtains tired driver driving data from bulk information, and algorithm auxiliary is difficult reality It is existing.2016, Wu Cheng et al. was applied for a patent《Method for detecting fatigue driving》, the invention first follows the trail of the eye of driver using eye tracker Eyeball, then after being corrected to the result of tracking, the data of pupil diameter and eye closing ratio are obtained, and judge the tired journey of driver Degree.
Although invention has good monitoring to act on to driver's real-time status above, the cost of these equipment is higher, and Calculating process is complicated, causes most of driver and loglstics enterprise to be unwilling onboard to install equipment, therefore practicality at home The not high, popularity rate of property is low.Therefore a kind of calculating fatigue driving determination methods easy, with low cost are proposed, directly from vehicle OBD Judge fatigue driving there is important to freight traffic management department, traffic administration institute and loglstics enterprise in the speed information of extraction Meaning.
The content of the invention
It is an object of the invention to judge for above-mentioned the problems of the prior art there is provided a kind of truck man fatigue driving Method, the driving condition of driver is extracted using the speed information of vehicle, and then can accurately count driver on the day of Driving time, recognizes whether driver is in fatigue driving state according to road safety standard.
To achieve these goals, the technical solution adopted by the present invention is to comprise the following steps:
1) single fatigue driving number of times, accumulative fatigue driving number of times, the same day first, are added up into driving time and single company Continuous driving time is reset;Then, whether the speed for judging a certain moment is 0, if more than 0, judging that vehicle is in traveling shape State, this speed and time are deposited into running time list;If equal to 0, judging that vehicle is in dead ship condition, by this Bar speed and time are deposited into down time list;
2) in motion between time difference of adjacent two data is calculated in list, judge whether vehicle is according to the time difference The state continuously driven, if vehicle has parking during travelling, the data time difference that adjacent two speeds are not zero is Down time;Judge whether the down time during continuously driving meets the time of road safety standard;
3) judge whether the continuous driving time of single and the same day accumulative driving time that added up have reached fatigue driving Standard;If the not up to standard of fatigue driving, return to step 2) continue computing;If it is not 0 to analyze the last item speed Data, then judge all running datas on the computing complete same day.
Described speed is extracted by the OBD system of vehicle and gathered.
Step 2) judge vehicle whether in continuously driving whether the condition of state surpasses for the time difference of adjacent two data Cross 2s.
Described step 2) in:
The actual continuous driving time=single of single continuous driving time+time difference;
The actual same day adds up accumulative driving time+time difference on driving time=same day.
The step 2) in if the time difference is more than 20 minutes, then judge that driver meets the parking time of having a rest and require, will be single Secondary continuous driving time is set to 0.The step 2) in if the same day add up driving time be more than 8 hours, then judge driver add up Fatigue driving, accumulated fatigue drives number of times and is set to 1.
Compared with prior art, the present invention has following beneficial effect:Whether it is 0 according to speed information, by vehicle shape State is divided into transport condition and dead ship condition, determines running time and down time, first by daily single fatigue driving Number of times, the accumulative number of times, the same day of driving add up driving time and the continuous driving time initialization of single, are arranged in the running time of vehicle The time difference of adjacent two data is calculated in table, continuous driving time is added up according to the size of time difference.Final basis is continuously driven The time of sailing judge vehicle whether fatigue driving and fatigue driving type.The present invention can evaluate truck man in driving procedure Whether meet road safety standard, i.e. 24 hours accumulative driving times of driver to be no more than in principle 8 hours, it is continuous in the daytime to drive No more than 4 hours, night continuously drove and is no more than 2 hours, constrained the driving behavior of driver, the safety fortune of powerful guarantee road OK.
Brief description of the drawings
The control algolithm flow chart of Fig. 1 present invention;
The postrun result exemplary plot of Fig. 2 inventive algorithms;
Embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
According to《Opinion of the State Council on strengthening traffic safety work》Point out, it should be ensured that driver tires out for 24 hours Count driving time to be no more than in principle 8 hours, continuous in the daytime to drive no more than 4 hours, night continuously drives and is no more than 2 hours. According to this principle, the fatigue warning for defining continuous drive less than 8 hours more than 4 hours of driver and not resting enough 20 minutes is " single Secondary fatigue driving alarm ", it is " accumulative fatigue driving alarm " that the fatigue warning of more than 8 hours is driven on the day of defining driver.
According to vehicle is divided into running time and dwell time in the speed information gathered from OBD in car, running time is The time that the speed of vehicle is not zero, down time be vehicle speed be zero time.If driver continuously drives 4 hours, Period, which does not stop, rests enough 20 minutes, then illustrates driver's single fatigue driving, the single fatigue driving number of times on the same day adds 1;Such as Accumulative driving time then illustrated that driver added up fatigue driving, accumulated fatigue drives number of times and is set to more than 8 hours on the day of fruit driver 1。
Referring to Fig. 1-2, fatigue driving determination methods of the present invention specifically include following steps:
1) single fatigue driving number of times, accumulative fatigue driving number of times, the same day are added up driving time by algorithm at first And the continuous driving time of single is all set to 0.
2) because the vehicle speed data of one day is counted always from the zero point on the same day to the zero point of second day, in this phase Between existing running time also have down time.Each speed information is analyzed, judges whether it is more than 0, if greater than 0, explanation Vehicle is in transport condition, and this speed and time are deposited into running time list;If speed information is equal to 0, say Bright vehicle is in dead ship condition, and this speed and time are deposited into down time list.
3) in motion between time difference of adjacent two data is calculated in list, if vehicle is in the state continuously driven Then the adjacent two datas time difference is generally 2 seconds, and if vehicle, adjacent two speeds are not zero if having parking during travelling Data time difference is the down time of vehicle.
4) judgment step 3) in time difference of adjacent two data for trying to achieve, if the time difference be less than 20 minutes, explanation department Machine is without parking rest enough 20 minutes or simply temporary parking according to the rules, then accumulative to the continuous driving time of single and the same day Driving time is added up.Continuous driving time=the single of single continuous driving time+time difference;The same day add up driving time= The same day adds up driving time+time difference.If the time difference is more than 20 minutes, illustrate driver according to fixed parking rest enough 20 Minute, then the continuous driving time of single is set to 0.
5) judgment step 4) in the continuous driving time of single that added up and the same day add up driving time whether reach it is tired Please the standard sailed.If the continuous driving time of single is more than 4 hours, illustrates that driver continuously drives and do not rest for 4 hours, Then single fatigue driving number of times is accumulated once, and the continuous driving time of single is set to zero.If it is small more than 8 that the same day adds up driving time When, illustrate that this day of driver has driven 8 hours, then accumulative fatigue driving number of times is set to 1.
(6) if step 5) in be not reaching to the standard of fatigue driving, return to step 3) start to continue computing.Such as simultaneously Fruit analyzes the data that the last item speed is not 0, illustrates all running datas on the computing complete same day, algorithm terminates.

Claims (6)

1. a kind of truck man fatigue driving determination methods, it is characterised in that comprise the following steps:
1) first, single fatigue driving number of times, accumulative fatigue driving number of times, the same day accumulative driving time and single are continuously driven Sailing the time resets;Then, whether the speed for judging a certain moment is 0, will if more than 0, judging that vehicle is in transport condition This speed and time are deposited into running time list;If equal to 0, judging that vehicle is in dead ship condition, by this car Speed and time are deposited into down time list;
2) in motion between time difference of adjacent two data is calculated in list, judge vehicle whether in continuous according to the time difference The state of traveling, if vehicle has parking during travelling, the data time difference that adjacent two speeds are not zero is to stop Time;Judge whether the down time during continuously driving meets the time of road safety standard;
3) judge whether the continuous driving time of single and the same day accumulative driving time that added up have reached the standard of fatigue driving; If the not up to standard of fatigue driving, return to step 2) continue computing;If analyzing the number that the last item speed is not 0 According to then judging all running datas on the computing complete same day.
2. truck man fatigue driving determination methods according to claim 1, it is characterised in that:Described speed passes through car OBD system extract collection.
3. truck man fatigue driving determination methods according to claim 1, it is characterised in that:The step 2) judge car Whether in whether continuously driving the time difference of the condition of state for adjacent two data more than 2s.
4. truck man fatigue driving determination methods according to claim 1, it is characterised in that described step 2) in:
The actual continuous driving time=single of single continuous driving time+time difference;
The actual same day adds up accumulative driving time+time difference on driving time=same day.
5. the truck man fatigue driving determination methods according to claim 1 or 4, it is characterised in that:The step 2) in If the time difference is more than 20 minutes, judges that driver meets the parking time of having a rest and require, the continuous driving time of single is set to 0.
6. the truck man fatigue driving determination methods according to claim 1 or 4, it is characterised in that:The step 2) in It is more than 8 hours if the same day adds up driving time, judges that driver adds up fatigue driving, accumulated fatigue drives number of times and is set to 1.
CN201710359386.9A 2017-05-19 2017-05-19 A kind of truck man fatigue driving determination methods Pending CN107226093A (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108364457A (en) * 2018-01-31 2018-08-03 长安大学 A kind of commercial car method for detecting fatigue driving based on GPS
CN109849929A (en) * 2019-03-29 2019-06-07 长安大学 A kind of changeable driveway deviation and front truck collision warning algorithm based on driver status
CN109969195A (en) * 2019-03-25 2019-07-05 陕西科技大学 A kind of driver's face abnormal behavior alarm system and method and the vehicle based on it
CN111724492A (en) * 2019-03-18 2020-09-29 江苏通行宝智慧交通科技股份有限公司 Intelligent automatic guidance charging system for highway ETC
CN113159513A (en) * 2021-03-22 2021-07-23 广州宸祺出行科技有限公司 Method and device for judging physical and mental states of driver based on driving behaviors
CN113421001A (en) * 2021-06-30 2021-09-21 中国航空油料有限责任公司 Method and device for determining fatigue degree of oiler, electronic equipment and medium
CN113442933A (en) * 2021-09-02 2021-09-28 中移(上海)信息通信科技有限公司 Fatigue driving monitoring method, system, network device and storage medium
CN113888840A (en) * 2021-09-26 2022-01-04 中原大易科技有限公司 Method and device for monitoring transportation behavior of network freight driver and electronic equipment
CN114435373A (en) * 2022-03-16 2022-05-06 一汽解放汽车有限公司 Fatigue driving detection method, device, computer equipment and storage medium
CN113159513B (en) * 2021-03-22 2024-05-31 广州宸祺出行科技有限公司 Driver physical and mental state judging method and device based on driving behaviors

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201544803U (en) * 2009-11-17 2010-08-11 浙江吉利汽车研究院有限公司 Combined instrument with running time accumulation function
CN103476658A (en) * 2011-04-20 2013-12-25 斯堪尼亚商用车有限公司 Vehicle with a safety system involving prediction of driver tiredness
CN104680719A (en) * 2015-03-26 2015-06-03 交通运输部公路科学研究所 System and method for monitoring fatigue driving time indexes
DE102014222777A1 (en) * 2014-11-07 2016-05-12 Robert Bosch Gmbh A method for determining a state of fatigue of a driver of a motor vehicle, fatigue detection device, motor vehicle
CN106228755A (en) * 2016-08-12 2016-12-14 深圳市元征科技股份有限公司 Fatigue driving method for early warning and cloud server

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201544803U (en) * 2009-11-17 2010-08-11 浙江吉利汽车研究院有限公司 Combined instrument with running time accumulation function
CN103476658A (en) * 2011-04-20 2013-12-25 斯堪尼亚商用车有限公司 Vehicle with a safety system involving prediction of driver tiredness
DE102014222777A1 (en) * 2014-11-07 2016-05-12 Robert Bosch Gmbh A method for determining a state of fatigue of a driver of a motor vehicle, fatigue detection device, motor vehicle
CN104680719A (en) * 2015-03-26 2015-06-03 交通运输部公路科学研究所 System and method for monitoring fatigue driving time indexes
CN106228755A (en) * 2016-08-12 2016-12-14 深圳市元征科技股份有限公司 Fatigue driving method for early warning and cloud server

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108364457A (en) * 2018-01-31 2018-08-03 长安大学 A kind of commercial car method for detecting fatigue driving based on GPS
CN111724492A (en) * 2019-03-18 2020-09-29 江苏通行宝智慧交通科技股份有限公司 Intelligent automatic guidance charging system for highway ETC
CN111724492B (en) * 2019-03-18 2021-12-28 江苏通行宝智慧交通科技股份有限公司 Intelligent automatic guidance charging system for highway ETC
CN109969195B (en) * 2019-03-25 2024-02-27 陕西科技大学 Driver facial behavior abnormality alarm system and method and vehicle based on system and method
CN109969195A (en) * 2019-03-25 2019-07-05 陕西科技大学 A kind of driver's face abnormal behavior alarm system and method and the vehicle based on it
CN109849929A (en) * 2019-03-29 2019-06-07 长安大学 A kind of changeable driveway deviation and front truck collision warning algorithm based on driver status
CN113159513A (en) * 2021-03-22 2021-07-23 广州宸祺出行科技有限公司 Method and device for judging physical and mental states of driver based on driving behaviors
CN113159513B (en) * 2021-03-22 2024-05-31 广州宸祺出行科技有限公司 Driver physical and mental state judging method and device based on driving behaviors
CN113421001A (en) * 2021-06-30 2021-09-21 中国航空油料有限责任公司 Method and device for determining fatigue degree of oiler, electronic equipment and medium
CN113442933A (en) * 2021-09-02 2021-09-28 中移(上海)信息通信科技有限公司 Fatigue driving monitoring method, system, network device and storage medium
CN113888840A (en) * 2021-09-26 2022-01-04 中原大易科技有限公司 Method and device for monitoring transportation behavior of network freight driver and electronic equipment
CN114435373B (en) * 2022-03-16 2023-12-22 一汽解放汽车有限公司 Fatigue driving detection method, device, computer equipment and storage medium
CN114435373A (en) * 2022-03-16 2022-05-06 一汽解放汽车有限公司 Fatigue driving detection method, device, computer equipment and storage medium

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Application publication date: 20171003