CN112288286A - Secure dispatching method, secure dispatching system and readable storage medium - Google Patents
Secure dispatching method, secure dispatching system and readable storage medium Download PDFInfo
- Publication number
- CN112288286A CN112288286A CN202011193716.XA CN202011193716A CN112288286A CN 112288286 A CN112288286 A CN 112288286A CN 202011193716 A CN202011193716 A CN 202011193716A CN 112288286 A CN112288286 A CN 112288286A
- Authority
- CN
- China
- Prior art keywords
- behavior
- driving
- current
- generating
- warning information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 230000006399 behavior Effects 0.000 claims description 245
- 230000002159 abnormal effect Effects 0.000 claims description 44
- 238000012545 processing Methods 0.000 claims description 33
- 206010048232 Yawning Diseases 0.000 claims description 18
- 230000001133 acceleration Effects 0.000 claims description 18
- 230000028838 turning behavior Effects 0.000 claims description 18
- 241001282135 Poromitra oscitans Species 0.000 claims description 17
- 230000004590 drinking behavior Effects 0.000 claims description 17
- 230000000391 smoking effect Effects 0.000 claims description 17
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims 1
- 210000003128 head Anatomy 0.000 description 34
- 230000000007 visual effect Effects 0.000 description 6
- 230000004399 eye closure Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000001960 triggered effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 231100000862 numbness Toxicity 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- 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
-
- 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
- G08B21/18—Status alarms
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Emergency Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Social Psychology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Psychiatry (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Traffic Control Systems (AREA)
Abstract
The application provides a safe order dispatching method, a safe order dispatching system and a readable storage medium, wherein the safe order dispatching method comprises the following steps: acquiring the current driving state of the vehicle; distributing a current safety level to the vehicle according to the current driving state; obtaining a dispatching strategy corresponding to the current security level; and dispatching the vehicle according to the dispatching strategy. The safe order dispatching method, the safe order dispatching system and the readable storage medium can effectively restrain a driver through different order dispatching strategies on the basis of monitoring the current driving state of the vehicle.
Description
Technical Field
The application relates to the technical field of taxi management, in particular to a safe dispatching method, a safe dispatching system and a readable storage medium.
Background
An important aspect in internet taxi management is the problem of driving safety. Because taxi drivers take the occupation as the occupation, the taxi drivers are often in a tense driving state for a long time, and unsafe driving behaviors such as fatigue, numbness or other things handling of the drivers are easily caused.
At present, a taxi calling system on the market generally lacks monitoring and restriction on the behavior state of a driver, and when the driver has unsafe driving behaviors, the user experience is not good, and even great threat is caused to the driving safety.
Disclosure of Invention
The application aims to provide a safe order dispatching method, a safe order dispatching system and a readable storage medium, which can effectively monitor and restrict the behavior state of a driver.
In a first aspect, the present application first provides a secure dispatching method, and specifically, the secure dispatching method includes:
acquiring the current driving state of the vehicle;
distributing a current safety level to the vehicle according to the current driving state;
obtaining a dispatching strategy corresponding to the current security level;
and dispatching the vehicle according to the dispatching strategy.
Optionally, the step of assigning a current safety level to the vehicle according to the current driving state comprises:
acquiring alarm information in the current driving state;
calculating a current state weight value according to the alarm information;
and distributing the current security level according to the current state weighted value.
Optionally, the current state weight value is calculated according to the following formula:
wherein x is a weight value of the current state, N is the number of the selectable driving states, the value range of i is a positive integer from 1 to N, Ai is the weight of the alarm of each driving state, and Mi is the alarm frequency of the driving state.
Optionally, the step of assigning the current security level according to the current state weight value comprises:
and inquiring a comparison table of the weight value and the safety level according to the current state weight value so as to obtain the current safety level.
Optionally, the step of obtaining the current driving state of the vehicle includes:
acquiring a current vehicle speed;
and when the current vehicle speed is not less than the set vehicle speed, acquiring the current driving state.
Optionally, the current driving state is selected from at least one of driving duration, fatigue driving, distraction driving, and dangerous driving.
Optionally, the step of obtaining the current driving state of the vehicle includes:
generating abnormal driving warning information when abnormal driving behaviors are monitored;
and acquiring the current driving state according to the frequency and/or the frequency of the abnormal driving warning information.
Optionally, the step of generating the abnormal driving warning information when the abnormal driving behavior is monitored includes:
acquiring image information of a driver;
acquiring eye closing behaviors and/or yawning behaviors in the image information of the driver;
and generating first fatigue driving warning information when the eye closing behavior is continuously set for a long time, and/or generating second fatigue driving warning information when the yawning behavior is continuously set for a long time.
Optionally, the step of generating the abnormal driving warning information when the abnormal driving behavior is monitored includes:
acquiring image information of a driver;
acquiring head twisting behavior, head raising behavior and/or head lowering behavior in the driver image information;
when the head-turning behavior is continuously set for a long time, generating first distraction driving warning information, and/or when the head-raising behavior is continuously set for a long time, generating second distraction driving warning information, and/or when the head-lowering behavior is continuously set for a long time, generating third distraction driving warning information.
Optionally, the step of generating the abnormal driving warning information when the abnormal driving behavior is monitored includes:
acquiring image information of a driver;
acquiring smoking behavior, mobile phone behavior, water drinking behavior, hand release behavior and/or non-fastening safety belt behavior in the image information of the driver;
when the smoking behavior is continuously set for a long time, generating first dangerous driving warning information, and/or when the mobile phone behavior is continuously set for a long time, generating second dangerous driving warning information, and/or when the drinking behavior is continuously set for a long time, generating third dangerous driving warning information, and/or when the hands-off behavior is continuously set for a long time, generating fourth dangerous driving warning information, and/or when the safety belt fastening behavior is not continuously set for a long time, generating fifth dangerous driving warning information.
Optionally, the step of obtaining the current driving state of the vehicle includes: monitoring sudden acceleration behavior, sudden braking behavior and/or sudden turning behavior of the vehicle; and generating sixth dangerous driving warning information when the sudden acceleration behavior is monitored, and/or generating seventh dangerous driving warning information when the sudden braking behavior is monitored, and/or generating eighth dangerous driving warning information when the sudden turning behavior is monitored.
Optionally, the step of obtaining the current driving state of the vehicle includes:
acquiring the continuous working time of the vehicle;
and generating driving time warning information when the continuous working time exceeds the set time.
Optionally, the step of obtaining the continuous operation time period of the vehicle comprises:
starting the continuous working time length timing when the vehicle is detected to be started;
and stopping the continuous working time length timing when the fact that the vehicle is flameout is detected to exceed the set time length.
On the other hand, the application also provides a safe dispatching system, and particularly the safe dispatching system comprises a driving state obtaining module, a processing module and a storage module;
the driving state acquisition module is connected with the processing module and used for acquiring and sending the current driving state of the vehicle to the processing module;
the storage module is connected with the processing module and is used for storing the order dispatching strategy corresponding to the security level;
the processing module is used for obtaining the order dispatching strategy, distributing the current safety level to the vehicle according to the current driving state, and dispatching the order to the vehicle according to the order dispatching strategy.
Optionally, the processing module obtains warning information in the current driving state, and calculates a current state weight value according to the warning information, so as to assign the current security level according to the current state weight value.
Optionally, the processing module calculates the current state weight value according to the following formula:
wherein x is a weight value of the current state, N is the number of the selectable driving states, the value range of i is a positive integer from 1 to N, Ai is the weight of the alarm of each driving state, and Mi is the alarm frequency of the driving state.
Optionally, the storage module is further configured to store and send a comparison table of the weight value and the security level to the processing module;
and the processing module inquires the weight value and safety level comparison table according to the current state weight value so as to obtain the current safety level.
Optionally, the processing module controls the driving state obtaining module to obtain the current driving state when the current vehicle speed is not less than a set vehicle speed.
Optionally, the driving state module is further configured to generate and send abnormal driving warning information when abnormal driving behavior is monitored; and acquiring the current driving state according to the frequency and/or the frequency of the abnormal driving warning information.
Optionally, the driving state obtaining module is further configured to obtain driver image information, and extract an eye closing behavior and/or a yawning behavior in the driver image information;
when the eye-closing behavior is continuously set for a long time, generating first fatigue driving warning information; and/or generating second fatigue driving warning information when the yawning behavior is continuously set for a long time.
Optionally, the driving state obtaining module is further configured to obtain driver image information, and extract a head twisting behavior, a head raising behavior, and/or a head lowering behavior in the driver image information;
when the head twisting behavior is continuously set for a long time, generating first distraction driving warning information; and/or generating second distraction driving warning information when the head-up behavior is continuously set for a long time; and/or generating third distraction driving warning information when the head lowering behavior is continuously set for a long time.
Optionally, the driving state obtaining module is further configured to obtain image information of a driver, and extract a smoking behavior, a mobile phone behavior, a water drinking behavior, a hands-off behavior, and/or a seatbelt unfastening behavior from the image information of the driver;
when the smoking behavior is continuously set for a long time, generating first dangerous driving warning information; and/or generating second dangerous driving warning information when the behavior of the mobile phone is continuously set for a long time; and/or generating third dangerous driving warning information when the drinking behavior is continuously set for a long time; and/or generating fourth dangerous driving warning information when the hands-off behavior is continuously set for a long time; and/or generating fifth dangerous driving warning information when the action of not fastening the safety belt is continuously set for a long time.
Optionally, the driving state obtaining module is further configured to monitor a sudden acceleration behavior, a sudden braking behavior, and/or a sudden turning behavior of the vehicle; and generating sixth dangerous driving warning information when the sudden acceleration behavior is monitored, and/or generating seventh dangerous driving warning information when the sudden braking behavior is monitored, and/or generating eighth dangerous driving warning information when the sudden turning behavior is monitored.
Optionally, the driving state obtaining module is further configured to obtain a continuous working duration of the vehicle, and generate driving duration warning information when the continuous working duration exceeds a set duration.
Optionally, the driving state obtaining module starts the continuous working period timing when detecting that the vehicle is started; stopping the continuous operating period timing when it is detected that the vehicle is turned off for more than a set period.
In another aspect, the present application further provides a readable storage medium, in particular, a readable storage medium having stored therein a computer program, which when executed by a computer, implements a secure delegation method as described above.
The safe order dispatching method, the safe order dispatching system and the readable storage medium can effectively restrain a driver through different order dispatching strategies on the basis of monitoring the current driving state of the vehicle.
Drawings
Fig. 1 is a flowchart of a secure dispatching method according to an embodiment of the present application.
FIG. 2 is a block diagram of a secure dispatch system according to an embodiment of the present application.
Detailed Description
The following detailed description of embodiments of the present application will be described in conjunction with the accompanying drawings and examples. The following examples are intended to illustrate the present application but are not intended to limit the scope of the present application.
In a first aspect, the present application first provides a secure dispatching method. Fig. 1 is a flowchart of a secure dispatching method according to an embodiment of the present application.
As shown in fig. 1, the secure dispatching method includes:
s10: the current driving state of the vehicle is acquired.
The current driving state can be obtained through a camera, various commonly-used sensors, a timer and other commonly-used monitoring terminals.
S20: and allocating the current safety level to the vehicle according to the current driving state.
And according to the monitored current driving state, evaluating and allocating a corresponding safety level for the currently operated vehicle.
S30: and obtaining a dispatching strategy corresponding to the current security level.
Different dispatching strategies can be correspondingly set for the security levels in different systems or different time periods. With the current security level of the vehicle, the current dispatch strategy can be applied.
S40: and dispatching the vehicle according to the dispatching strategy.
On the basis of monitoring the current driving state of the vehicle, effective restriction can be formed on the driver through different dispatching strategies.
In one embodiment, at execution S20: the step of assigning a current safety level to the vehicle based on the current driving status includes:
and acquiring alarm information in the current driving state, calculating a current state weight value according to the alarm information, and finally distributing a current safety level according to the current state weight value.
Through the alarm information set in the driving state, the current state weight value can be calculated quantitatively, and then the current safety level is distributed to the operating vehicle.
In one embodiment, the current state weight value is calculated according to the following formula:
wherein x is the weight value of the current state, N is the number of the selectable driving states, the value range of i is a positive integer from 1 to N, Ai is the weight of the alarm of each driving state, and Mi is the alarm frequency of the driving state.
By setting the warning weight of each driving state and monitoring the warning times of each driving state of the current operating vehicle, the weight value of the current state can be quickly calculated according to a preset formula so as to restrict the driving behavior of a driver in real time.
In one embodiment, at execution S20: the step of assigning the current security level according to the current state weight value comprises:
and inquiring the comparison table of the weight value and the safety level according to the current state weight value so as to obtain the current safety level.
By setting the comparison table of the weight value and the safety level, the system can conveniently and quickly search the corresponding safety level so as to restrict the driving behavior of the driver in real time.
In one embodiment, at execution S10: the step of acquiring the current driving state of the vehicle includes:
and acquiring the current vehicle speed, and acquiring the current driving state when the current vehicle speed is not less than the set vehicle speed.
When the vehicle speed is less than a certain value, the vehicle is considered not to be in the operating state. And when the vehicle speed reaches the set vehicle speed, starting to carry out system monitoring on the driving behavior of the driver.
In an embodiment, the current driving state is selected from at least one of driving duration, fatigue driving, distraction driving, and dangerous driving.
Several driving states, such as a driving duration state, a fatigue driving state, a distraction driving state, and a dangerous driving state, are bad driving states that may seriously affect driving safety.
In one embodiment, at execution S10: the step of acquiring the current driving state of the vehicle includes:
generating abnormal driving warning information when abnormal driving behaviors are monitored; and acquiring the current driving state according to the frequency and/or the frequency of the abnormal driving warning information.
The abnormal driving behavior may be selected from overtime driving behavior, fatigue driving behavior, distraction driving behavior, dangerous driving behavior, and the like. The abnormal driving behavior can be obtained by common methods such as timing information, driver image information, driver physiological index information, bus information, gyroscope information and the like, and the method is not limited in the application. Accordingly, the abnormal driving warning information may be driving duration warning information, fatigue driving warning information, distraction driving warning information, and dangerous driving warning information. Wherein the fatigue driving behavior may be selected from the group consisting of eye closure behavior and yawning behavior; the distracted driving behaviour may be selected from a head twisting behaviour, a head raising behaviour and/or a head lowering behaviour; the dangerous driving behavior may be selected from smoking behavior, mobile phone behavior, drinking behavior, hands-off behavior and/or non-belted behavior, and the dangerous driving behavior may also be selected from hard acceleration behavior, hard braking behavior and/or hard turning behavior.
In one embodiment, the step of generating the abnormal driving warning information when the abnormal driving behavior is monitored includes:
acquiring image information of a driver; and acquiring the eye closing behavior and/or yawning behavior in the image information of the driver.
And generating first fatigue driving warning information when the eye closing behavior is continuously set for a long time, and/or generating second fatigue driving warning information when the yawning behavior is continuously set for a long time.
Fatigue driving behavior can be identified by the eye closure and yawning behavior of the driver during driving.
In one embodiment, the step of generating the abnormal driving warning information when the abnormal driving behavior is monitored includes:
acquiring image information of a driver; and acquiring head twisting behavior, head raising behavior and/or head lowering behavior in the image information of the driver.
When the head twisting behavior is continuously set for a long time, generating first distraction driving warning information; and/or generating second distraction driving warning information when the head-up behavior is continuously set for a long time; and/or generating third distraction driving warning information when the head lowering behavior is continuously set for a long time.
Distracted driving conditions are generally identified by left-right head twisting behavior, head raising behavior, and head lowering behavior of the driver during driving.
In one embodiment, the step of generating the abnormal driving warning information when the abnormal driving behavior is monitored includes:
acquiring image information of a driver; and acquiring smoking behavior, mobile phone behavior, drinking behavior, hands-off behavior and/or non-safety belt fastening behavior in the image information of the driver.
When the smoking behavior is continuously set for a long time, generating first dangerous driving warning information; and/or generating second dangerous driving warning information when the duration of the mobile phone behavior is continuously set; and/or generating third dangerous driving warning information when the drinking behavior is continuously set for a long time; and/or generating fourth dangerous driving warning information when the hands-off behavior is continuously set for a long time; and/or generating fifth dangerous driving warning information when the non-belting behavior is continuously set for a long time.
In one embodiment, the step of obtaining the current driving state of the vehicle includes:
monitoring sudden acceleration behavior, sudden braking behavior, and/or sudden turning behavior of the vehicle. When the rapid acceleration behavior is monitored, generating sixth dangerous driving warning information; and/or generating seventh dangerous driving warning information when the sudden braking behavior is monitored; and/or generating eighth dangerous driving warning information when the sharp turning behavior is monitored.
The dangerous driving state can be identified by smoking behavior, mobile phone behavior, drinking behavior, sudden acceleration behavior, sudden braking behavior, sudden turning behavior and behavior without a safety belt during driving. The rapid acceleration behavior, the rapid braking behavior and the rapid turning behavior CAN be obtained through a vehicle CAN bus, and CAN also be obtained through calculation of data of a gyroscope.
In one embodiment, at execution S10: the step of acquiring the current driving state of the vehicle includes:
acquiring the continuous working time of the vehicle; and when the continuous working time exceeds the set time, generating driving time warning information.
Long-term driving is also a major factor in fatigue driving. By continuously timing the driving behaviors, overtime driving behaviors can be timely recognized.
In one embodiment, the driving behavior is continuously timed, the continuous working period is started when the vehicle is detected to be started, and the continuous working period is stopped when the vehicle is detected to be flameout for more than a set period. In another embodiment, the condition for starting the continuous operating period timing detects whether the current vehicle speed exceeds a set value in addition to the need for detecting the vehicle start.
For example, the continuous operation period is recalculated after 20 minutes of flameout, and the continuous operation period is cumulatively calculated when the flameout does not exceed 20 minutes.
In another aspect, the present application further provides a secure dispatching system. FIG. 2 is a block diagram of a secure dispatch system according to an embodiment of the present application.
As shown in fig. 2, the safety dispatch system includes a driving state obtaining module 1, a processing module 2 and a storage module 3.
Referring to fig. 2, the driving state obtaining module 1 is connected to the processing module 2, and is configured to obtain and send a current driving state of the vehicle to the processing module 2.
The storage module 3 is connected with the processing module 2 and is used for storing the order dispatching strategy corresponding to the security level.
The processing module 2 is used for obtaining a dispatching strategy, distributing a current safety level for the vehicle according to a current driving state, and dispatching the vehicle according to the dispatching strategy.
On the basis of monitoring the current driving state of the vehicle, effective restriction can be formed on the driver through different dispatching strategies.
In one embodiment, the processing module obtains the warning information in the current driving state, and calculates a current state weight value according to the warning information, so as to assign a current safety level according to the current state weight value.
Through the alarm information set in the driving state, the current state weight value can be calculated quantitatively, and then the current safety level is distributed to the operating vehicle.
In one embodiment, the processing module calculates the current state weight value according to the following formula:
wherein x is the weight value of the current state, N is the number of the selectable driving states, the value range of i is a positive integer from 1 to N, Ai is the weight of the alarm of each driving state, and Mi is the alarm frequency of the driving state.
By setting the warning weight of each driving state and monitoring the warning times of each driving state of the current operating vehicle, the weight value of the current state can be quickly calculated according to a preset formula so as to restrict the driving behavior of a driver in real time.
In an embodiment, the storage module is further configured to store and send the weight value and security level comparison table to the processing module.
And the processing module inquires the weight value and the safety level comparison table according to the current state weight value so as to obtain the current safety level.
By setting the comparison table of the weight value and the safety level, the system can conveniently and quickly search the corresponding safety level so as to restrict the driving behavior of the driver in real time.
In one embodiment, the processing module controls the driving state obtaining module to obtain the current driving state when the current vehicle speed is not less than the set vehicle speed.
When the vehicle speed is less than a certain value, the vehicle is considered not to be in the operating state. And when the vehicle speed reaches the set vehicle speed, starting to carry out system monitoring on the driving behavior of the driver.
In one embodiment, the driving state module is further configured to generate and send abnormal driving warning information when abnormal driving behavior is monitored; and obtaining the current driving state according to the frequency and/or the frequency of the abnormal driving warning information.
The abnormal driving behavior may be selected from overtime driving behavior, fatigue driving behavior, distraction driving behavior, dangerous driving behavior, and the like. The abnormal driving behavior can be obtained by common methods such as timing information, driver image information, driver physiological index information, bus information, gyroscope information and the like, and the method is not limited in the application. Accordingly, the abnormal driving warning information may be driving duration warning information, fatigue driving warning information, distraction driving warning information, and dangerous driving warning information. Wherein the fatigue driving behavior may be selected from the group consisting of eye closure behavior and yawning behavior; the distracted driving behaviour may be selected from a head twisting behaviour, a head raising behaviour and/or a head lowering behaviour; the dangerous driving behavior may be selected from smoking behavior, mobile phone behavior, drinking behavior, hands-off behavior and/or non-belted behavior, and the dangerous driving behavior may also be selected from hard acceleration behavior, hard braking behavior and/or hard turning behavior.
In an embodiment, the driving state obtaining module is further configured to obtain image information of the driver, and extract an eye closing behavior and/or a yawning behavior in the image information of the driver.
When the eye closing behavior is continuously set for a long time, generating first fatigue driving warning information; and/or generating second fatigue driving warning information when the yawning behavior is continuously set for a long time.
Fatigue driving behavior can be identified by the eye closure and yawning behavior of the driver during driving. Once the behaviors meeting the requirements are detected, the behaviors can be reported to the processing module in the forms of characters, pictures and videos.
In an embodiment, the driving state obtaining module is further configured to obtain image information of the driver, and extract a head twisting behavior, a head raising behavior, and/or a head lowering behavior in the image information of the driver;
when the head twisting behavior is continuously set for a long time, generating first distraction driving warning information; and/or generating second distraction driving warning information when the head-up behavior is continuously set for a long time; and/or generating third distraction driving warning information when the head lowering behavior is continuously set for a long time.
Distracted driving conditions are generally identified by left-right head twisting behavior, head raising behavior, and head lowering behavior of the driver during driving. Once the behaviors meeting the requirements are detected, the behaviors can be reported to the processing module in the forms of characters, pictures and videos.
In one embodiment, the driving state obtaining module is further configured to obtain image information of the driver, and extract smoking behavior, mobile phone behavior, drinking behavior, hands-off behavior, and/or non-belted behavior from the image information of the driver.
When the smoking behavior is continuously set for a long time, generating first dangerous driving warning information; and/or generating second dangerous driving warning information when the duration of the mobile phone behavior is continuously set; and/or generating third dangerous driving warning information when the drinking behavior is continuously set for a long time; and/or generating fourth dangerous driving warning information when the hands-off behavior is continuously set for a long time; and/or generating fifth dangerous driving warning information when the action of not fastening the safety belt is continuously set for a long time.
In one embodiment, the driving state acquisition module is further configured to monitor a sudden acceleration behavior, a sudden braking behavior, and/or a sudden turning behavior of the vehicle.
When the driving state acquisition module monitors the rapid acceleration behavior, generating sixth dangerous driving warning information; and/or generating seventh dangerous driving warning information when the driving state acquisition module monitors the sudden braking behavior; and/or generating eighth dangerous driving warning information when the driving state acquisition module monitors sharp turning behavior.
The dangerous driving state can be identified by smoking behavior, mobile phone behavior, drinking behavior, sudden acceleration behavior, sudden braking behavior, sudden turning behavior and behavior without a safety belt during driving. The rapid acceleration behavior, the rapid braking behavior and the rapid turning behavior CAN be obtained through a vehicle CAN bus, and CAN also be obtained through calculation of data of a gyroscope. Once the behaviors meeting the requirements are detected, the behaviors can be reported to the processing module in the forms of characters, pictures and videos.
In one embodiment, the system identifies a driver's fatigue driving state, distraction driving state, and dangerous driving state based on head, eye, and body monitoring tracking. For each behavior identification, a function opening switch is provided.
When the function switch is turned on and the vehicle speed is monitored to be greater than or equal to 30 km/h, fatigue driving monitoring, distraction driving monitoring and dangerous driving monitoring of the driver are activated.
The system may provide alert point information selected from the group consisting of alert type, alert date, alert time, alert location, license plate, frame number, vehicle speed, vehicle status, etc., wherein the vehicle status is selected from, for example, power status, left/right turn status, wiper status, and brake status, etc. Meanwhile, pictures and videos can be captured and uploaded to the cloud as warning evidence.
For example, when the driver has continuously closed his eyes for more than 1.5 seconds, a warning message is triggered. When the driver yawns and opens the mouth greatly for more than 2 seconds, alarm information is triggered. When the driver twists head left and right for more than 45 degrees and lasts for more than 3 seconds, alarm information is triggered. Monitoring of other driving behaviors is similar and will not be described in detail herein.
In one embodiment, the system assigns a weight as an evaluation index score for each driving behavior. For example, the eye closing behavior is weighted 15 minutes at a time, the yawning behavior is weighted 10 minutes at a time, the head raising behavior is weighted 5 minutes at a time, the head lowering behavior is weighted 5 minutes at a time, the smoking behavior is weighted 5 minutes at a time, the cell phone behavior such as phone call answering is weighted 10 minutes at a time, the water drinking behavior is weighted 5 minutes at a time, the hands off behavior with both hands off the steering wheel is weighted 15 minutes at a time, the seatbelt unfastening behavior is weighted 10 minutes at a time, the jerking behavior is weighted 5 minutes at a time, and the jerking behavior is weighted 5 minutes at a time.
In one embodiment, the system pre-assigns a driver an initial weight value of 100 points. And in the running process of the system, calculating the difference between the initial weight value and the current state weight value as the residual weight value. And at any time when the system runs, searching a comparison table of the weight value and the safety level according to the residual weight value to determine the current safety level. In this embodiment, the table of the weight value versus the security level is shown in table 1:
table 1: weight value and safety level comparison table
| Level of security | Residual weight value y | Remarks for note |
| Level 1 | 90≤y≤100 | Highest level of |
| Stage | ||
| 2 | 80≤y＜90 | High level of |
| Grade | ||
| 3 | 70≤y＜80 | Intermediate level of security |
| 4 stage | 60≤y＜70 | Low level of security |
| Grade 5 | y＜60 | Minimum level of security |
In an embodiment, the driving state obtaining module is further configured to obtain a continuous working duration of the vehicle, and generate the driving duration warning information when the continuous working duration exceeds a set duration.
Long-term driving is also a major factor in fatigue driving. By continuously timing the driving behaviors, overtime driving behaviors can be timely recognized. For example, the continuous operation period is recalculated after the flame off for more than 25 minutes, and the continuous operation period is cumulatively calculated when the flame off for not more than 25 minutes.
In one embodiment, the same certified driver operating the vehicle may require a 20 minute stop to continue the order dispatch by operating for more than 4 hours in the daytime or 2 hours in the evening. And when the rest time is less than 20 minutes, continuously and cumulatively calculating the continuous working time. And (5) after the rest for 20 minutes, resetting the continuous working time.
In one embodiment, the driving state acquisition module starts continuous working time length timing when the vehicle is detected to be started; and stopping continuous working time length timing when the vehicle is detected to be flameout beyond the set time length.
For example, in one embodiment, the calculation of the continuous operation period is initiated by detecting a vehicle start power signal or a spark signal. In another embodiment, the continuous operation time period is calculated from the time when the vehicle speed exceeds 15 km/h after the vehicle is started.
In one embodiment, the dispatch strategy for the system is as follows:
table 2: policy table for dispatching orders
| Level of security | Order priority |
| Level 1 | Highest point of the |
| Stage | |
| 2 | Height of |
| |
In |
| 4 stage | Is low in |
| Grade 5 | No-dispatch list |
In one embodiment, the vehicle that has been driving overtime to authenticate the driver is of the lowest safety level 5, and the system does not assign an order to this driver to ensure driving safety.
Through comprehensive judgment of the driving safety level of the driver and a corresponding order dispatching strategy, the lower the safety level is, the smaller the order dispatching probability is; the higher the security level, the greater the chance of dispatching the order. Therefore, an excitation mechanism is formed, the safety driving consciousness and the safety driving behavior of the driver are improved, and the operation safety is improved on the whole. After the driver receives the order, a new round of real-time monitoring is started to serve as a data basis of subsequent order dispatching, the process is circulated in sequence, the real-time state of the driver is ensured to be held at any time, and a safe order dispatching mode based on the real-time state of the driver is formed.
In one embodiment, the driving state acquisition module monitors the driving state through a camera. The horizontal angle, the vertical angle, the focal length and the like of the camera can be automatically adapted or configured and fixed in advance, so that the range needing to be monitored can be covered. For example, a camera with near infrared enhancement capability is used, the monitoring wavelength range is 930-990 nanometers, the maximum resolution is above 720P, the definition is above 1MP, the frame rate is not less than 30fps, and the camera is installed at the position of a column of a vehicle or the top of a front windshield. The vertical visual angle range of one camera visual range is 35-45 degrees, the horizontal visual angle range is 54-60 degrees, and the depth of field range is 40-120 cm. The vertical visual angle range of the visual range of the other camera is 70-90 degrees, and the horizontal visual angle range is 110-120 degrees, so that drivers with different heights can be covered.
In another aspect, the present application further provides a readable storage medium, in particular, a readable storage medium having stored therein a computer program, which when executed by a computer, implements the secure delegation method as described above.
The safe order dispatching method, the safe order dispatching system and the readable storage medium can effectively restrain a driver through different order dispatching strategies on the basis of monitoring the current driving state of the vehicle.
In this document, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms can be understood in a specific case to those of ordinary skill in the art.
As used herein, the ordinal adjectives "first", "second", etc., used to describe an element are merely to distinguish between similar elements and do not imply that the elements so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
As used herein, the meaning of "a plurality" or "a plurality" is two or more unless otherwise specified.
It will be understood by those skilled in the art that all or part of the steps of implementing the above method embodiments may be implemented by hardware associated with program instructions, and the program may be stored in a computer readable storage medium, and when executed, performs the steps including the above method embodiments. The foregoing storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, including not only those elements listed, but also other elements not expressly listed.
The above description is only a specific embodiment of the present application, but the scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions in the technical scope disclosed in the present application, and all the changes or substitutions are covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (25)
1. A secure dispatching method, comprising:
acquiring the current driving state of the vehicle;
distributing a current safety level to the vehicle according to the current driving state;
obtaining a dispatching strategy corresponding to the current security level;
and dispatching the vehicle according to the dispatching strategy.
2. The secure dispatcher method of claim 1, wherein in performing the step of assigning a current security level to the vehicle based on the current driving status comprises:
acquiring alarm information in the current driving state;
calculating a current state weight value according to the alarm information;
and distributing the current security level according to the current state weighted value.
3. The secure policy method of claim 2, wherein the current state weight value is calculated according to the following formula:
wherein x is a weight value of the current state, N is the number of the selectable driving states, the value range of i is a positive integer from 1 to N, Ai is the weight of the alarm of each driving state, and Mi is the alarm frequency of the driving state.
4. The security policy method of claim 2, wherein said step of assigning said current security level according to said current state weight value comprises:
and inquiring a comparison table of the weight value and the safety level according to the current state weight value so as to obtain the current safety level.
5. The secure dispatcher method of claim 1, wherein the step of obtaining the current driving status of the vehicle comprises:
acquiring a current vehicle speed;
and when the current vehicle speed is not less than the set vehicle speed, acquiring the current driving state.
6. The secure dispatcher method of claim 1, wherein the step of obtaining the current driving status of the vehicle comprises:
generating abnormal driving warning information when abnormal driving behaviors are monitored;
and acquiring the current driving state according to the frequency and/or the frequency of the abnormal driving warning information.
7. The security policy dispatching method of claim 6, wherein the step of generating abnormal driving warning information when abnormal driving behavior is monitored comprises:
acquiring image information of a driver;
acquiring eye closing behaviors and/or yawning behaviors in the image information of the driver;
and generating first fatigue driving warning information when the eye closing behavior is continuously set for a long time, and/or generating second fatigue driving warning information when the yawning behavior is continuously set for a long time.
8. The security policy dispatching method of claim 6, wherein the step of generating abnormal driving warning information when abnormal driving behavior is monitored comprises:
acquiring image information of a driver;
acquiring head twisting behavior, head raising behavior and/or head lowering behavior in the driver image information;
when the head-turning behavior is continuously set for a long time, generating first distraction driving warning information, and/or when the head-raising behavior is continuously set for a long time, generating second distraction driving warning information, and/or when the head-lowering behavior is continuously set for a long time, generating third distraction driving warning information.
9. The security policy dispatching method of claim 6, wherein the step of generating abnormal driving warning information when abnormal driving behavior is monitored comprises:
acquiring image information of a driver;
acquiring smoking behavior, mobile phone behavior, water drinking behavior, hand release behavior and/or non-fastening safety belt behavior in the image information of the driver;
when the smoking behavior is continuously set for a long time, generating first dangerous driving warning information, and/or when the mobile phone behavior is continuously set for a long time, generating second dangerous driving warning information, and/or when the drinking behavior is continuously set for a long time, generating third dangerous driving warning information, and/or when the hands-off behavior is continuously set for a long time, generating fourth dangerous driving warning information, and/or when the safety belt is not fastened for a long time, generating fifth dangerous driving warning information.
10. The security policy dispatching method of claim 6, wherein the step of generating abnormal driving warning information when abnormal driving behavior is monitored comprises:
monitoring sudden acceleration behavior, sudden braking behavior and/or sudden turning behavior of the vehicle;
and generating sixth dangerous driving warning information when the sudden acceleration behavior is monitored, and/or generating seventh dangerous driving warning information when the sudden braking behavior is monitored, and/or generating eighth dangerous driving warning information when the sudden turning behavior is monitored.
11. The secure dispatcher method of claim 1, wherein the step of obtaining the current driving status of the vehicle comprises:
acquiring the continuous working time of the vehicle;
and generating driving time warning information when the continuous working time exceeds the set time.
12. The secure dispatcher method of claim 11, wherein the step of obtaining a continuous length of time of operation of the vehicle comprises:
starting the continuous working time length timing when the vehicle is detected to be started;
and stopping the continuous working time length timing when the fact that the vehicle is flameout is detected to exceed the set time length.
13. A safe dispatching system is characterized by comprising a driving state acquisition module, a processing module and a storage module;
the driving state acquisition module is connected with the processing module and used for acquiring and sending the current driving state of the vehicle to the processing module;
the storage module is connected with the processing module and is used for storing the order dispatching strategy corresponding to the security level;
the processing module is used for obtaining the order dispatching strategy, distributing the current safety level to the vehicle according to the current driving state, and dispatching the order to the vehicle according to the order dispatching strategy.
14. The security dispatching system of claim 13, wherein the processing module obtains alert information in the current driving state and calculates a current state weight value based on the alert information to assign the current security level based on the current state weight value.
15. The secure dispatch system of claim 14, wherein the processing module calculates the current state weight value according to the formula:
wherein x is a weight value of the current state, N is the number of the selectable driving states, the value range of i is a positive integer from 1 to N, Ai is the weight of the alarm of each driving state, and Mi is the alarm frequency of the driving state.
16. The secure dispatching system of claim 14, wherein the storage module is further configured to store and send a weight value and security level comparison table to the processing module;
and the processing module inquires the weight value and safety level comparison table according to the current state weight value so as to obtain the current safety level.
17. The security dispatching system of claim 13, wherein the processing module controls the driving state obtaining module to obtain the current driving state when the current vehicle speed is not less than a set vehicle speed.
18. The security dispatching system of claim 13, wherein the driving status module is further configured to generate and send an abnormal driving warning message when abnormal driving behavior is monitored; and acquiring the current driving state according to the frequency and/or the frequency of the abnormal driving warning information.
19. The safety dispatch system of claim 18, wherein the driving state acquisition module is further configured to acquire driver image information and extract eye closing behavior and/or yawning behavior in the driver image information;
when the eye-closing behavior is continuously set for a long time, generating first fatigue driving warning information; and/or generating second fatigue driving warning information when the yawning behavior is continuously set for a long time.
20. The security dispatch system of claim 18, wherein the driving state acquisition module is further configured to acquire driver image information and extract head twisting behavior, head raising behavior, and/or head lowering behavior in the driver image information;
when the head twisting behavior is continuously set for a long time, generating first distraction driving warning information; and/or generating second distraction driving warning information when the head-up behavior is continuously set for a long time; and/or generating third distraction driving warning information when the head lowering behavior is continuously set for a long time.
21. The security dispatching system of claim 18, wherein the driving state obtaining module is further configured to obtain driver image information and extract smoking behavior, mobile phone behavior, drinking behavior, hands-off behavior and/or non-belted behavior from the driver image information;
when the smoking behavior is continuously set for a long time, generating first dangerous driving warning information; and/or generating second dangerous driving warning information when the behavior of the mobile phone is continuously set for a long time; and/or generating third dangerous driving warning information when the drinking behavior is continuously set for a long time; and/or generating fourth dangerous driving warning information when the hands-off behavior is continuously set for a long time; and/or generating fifth dangerous driving warning information when the action of not fastening the safety belt is continuously set for a long time.
22. The safety dispatch system of claim 13, wherein the driving status acquisition module is further configured to monitor hard acceleration behavior, hard braking behavior, and/or hard turning behavior of the vehicle;
and generating sixth dangerous driving warning information when the sudden acceleration behavior is monitored, and/or generating seventh dangerous driving warning information when the sudden braking behavior is monitored, and/or generating eighth dangerous driving warning information when the sudden turning behavior is monitored.
23. The security dispatching system of claim 13, wherein the driving state obtaining module is further configured to obtain a continuous operation duration of the vehicle, and generate a driving duration warning message when the continuous operation duration exceeds a set duration.
24. The secure dispatching system of claim 23, wherein the driving status acquisition module initiates the continuous operation duration timing upon detection of the vehicle start; stopping the continuous operating period timing when it is detected that the vehicle is turned off for more than a set period.
25. A readable storage medium, in which a computer program is stored which, when executed by a computer, implements the secure delegation method according to any of claims 1-12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011193716.XA CN112288286A (en) | 2020-10-30 | 2020-10-30 | Secure dispatching method, secure dispatching system and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011193716.XA CN112288286A (en) | 2020-10-30 | 2020-10-30 | Secure dispatching method, secure dispatching system and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112288286A true CN112288286A (en) | 2021-01-29 |
Family
ID=74353695
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011193716.XA Pending CN112288286A (en) | 2020-10-30 | 2020-10-30 | Secure dispatching method, secure dispatching system and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112288286A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113312958A (en) * | 2021-03-22 | 2021-08-27 | 广州宸祺出行科技有限公司 | Driver state-based order dispatching priority adjusting method and device |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090112327A (en) * | 2008-04-24 | 2009-10-28 | 현대자동차주식회사 | System For Informing Dangerous Driving |
| WO2018058072A1 (en) * | 2016-09-23 | 2018-03-29 | Operr Technologies, Inc. | System and method for customizable prescheduled dispatching for transportation services |
| CN109466474A (en) * | 2018-11-23 | 2019-03-15 | 北京车和家信息技术有限公司 | Traffic safety DAS (Driver Assistant System), mobile unit and vehicle |
| CN109829621A (en) * | 2018-12-28 | 2019-05-31 | 深圳市元征科技股份有限公司 | A kind of net about vehicle worksheet processing method and device |
| CN109919708A (en) * | 2019-01-24 | 2019-06-21 | 平安科技（深圳）有限公司 | A kind of taxi-hailing software worksheet processing method and apparatus |
| CN110027567A (en) * | 2019-04-30 | 2019-07-19 | 奇瑞汽车股份有限公司 | The driving condition of driver determines method, apparatus and storage medium |
| WO2019232972A1 (en) * | 2018-06-04 | 2019-12-12 | 上海商汤智能科技有限公司 | Driving management method and system, vehicle-mounted intelligent system, electronic device and medium |
| CN110696834A (en) * | 2019-11-20 | 2020-01-17 | 东风小康汽车有限公司重庆分公司 | Driver state monitoring method, device and system and controller |
| CN111105110A (en) * | 2018-10-25 | 2020-05-05 | 北京嘀嘀无限科技发展有限公司 | Driving risk determination method, device, medium and computing equipment |
| CN111526311A (en) * | 2019-01-17 | 2020-08-11 | 北京嘀嘀无限科技发展有限公司 | Method and system for judging driving user behavior, computer equipment and storage medium |
-
2020
- 2020-10-30 CN CN202011193716.XA patent/CN112288286A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090112327A (en) * | 2008-04-24 | 2009-10-28 | 현대자동차주식회사 | System For Informing Dangerous Driving |
| WO2018058072A1 (en) * | 2016-09-23 | 2018-03-29 | Operr Technologies, Inc. | System and method for customizable prescheduled dispatching for transportation services |
| WO2019232972A1 (en) * | 2018-06-04 | 2019-12-12 | 上海商汤智能科技有限公司 | Driving management method and system, vehicle-mounted intelligent system, electronic device and medium |
| CN111105110A (en) * | 2018-10-25 | 2020-05-05 | 北京嘀嘀无限科技发展有限公司 | Driving risk determination method, device, medium and computing equipment |
| CN109466474A (en) * | 2018-11-23 | 2019-03-15 | 北京车和家信息技术有限公司 | Traffic safety DAS (Driver Assistant System), mobile unit and vehicle |
| CN109829621A (en) * | 2018-12-28 | 2019-05-31 | 深圳市元征科技股份有限公司 | A kind of net about vehicle worksheet processing method and device |
| CN111526311A (en) * | 2019-01-17 | 2020-08-11 | 北京嘀嘀无限科技发展有限公司 | Method and system for judging driving user behavior, computer equipment and storage medium |
| CN109919708A (en) * | 2019-01-24 | 2019-06-21 | 平安科技（深圳）有限公司 | A kind of taxi-hailing software worksheet processing method and apparatus |
| CN110027567A (en) * | 2019-04-30 | 2019-07-19 | 奇瑞汽车股份有限公司 | The driving condition of driver determines method, apparatus and storage medium |
| CN110696834A (en) * | 2019-11-20 | 2020-01-17 | 东风小康汽车有限公司重庆分公司 | Driver state monitoring method, device and system and controller |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113312958A (en) * | 2021-03-22 | 2021-08-27 | 广州宸祺出行科技有限公司 | Driver state-based order dispatching priority adjusting method and device |
| CN113312958B (en) * | 2021-03-22 | 2024-04-12 | 广州宸祺出行科技有限公司 | Method and device for adjusting dispatch priority based on driver state |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8164463B2 (en) | Driver management apparatus and travel management system | |
| US9679210B2 (en) | Using passive driver identification and other input for providing real-time alerts or actions | |
| CN108357497B (en) | Driver identity authorization system for sharing automobile | |
| US10229461B2 (en) | Continuous identity monitoring for classifying driving data for driving performance analysis | |
| RU153505U1 (en) | DEVICE FOR MASKING THE INPUT CALL FROM PORTABLE COMMUNICATION DEVICE AND DEVICE FOR VEHICLE FOR INTERACTION WITH PORTABLE COMMUNICATION DEVICE | |
| CN110063735B (en) | Fatigue monitoring method based on driving behaviors | |
| CN104183091A (en) | System for adjusting sensitivity of fatigue driving early warning system in self-adaptive mode | |
| US9135420B2 (en) | Biometric data-driven application of vehicle operation settings | |
| CN112758098B (en) | Vehicle driving authority take-over control method and device based on driver state grade | |
| CN113715837B (en) | Vehicle safety hidden danger management system and method | |
| US20040188164A1 (en) | Vehicle anti theft system, vehicle anti theft method, and computer program | |
| CN106448063A (en) | Traffic safety supervision method, device and system | |
| KR20200086785A (en) | A method and system for preventing drowsiness driving and keeping vehicle safe | |
| CN112288286A (en) | Secure dispatching method, secure dispatching system and readable storage medium | |
| CN114987502B (en) | Driving state monitoring method and device, computer equipment and storage medium | |
| CN113838265A (en) | Fatigue driving early warning method and device and electronic equipment | |
| Matsuo et al. | Prediction of drowsy driving by monitoring driver's behavior | |
| CN110712651A (en) | Method and device for in-vehicle monitoring | |
| CN113129475A (en) | Monitoring method and device and vehicle | |
| CN116320136B (en) | Control method and device for driving electronic equipment of driver and automobile | |
| CN112124320A (en) | Vehicle control method and system and vehicle | |
| CN116552542A (en) | Vehicle control method, device, electronic equipment and storage medium | |
| CN115376319B (en) | Intelligent traffic accident processing method, device, equipment and storage medium | |
| CN104340118A (en) | Traffic offence prompting device and implementing method thereof for drivers | |
| Lenné et al. | Real-time feedback reduces the incidence of fatigue events in heavy vehicle fleets |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |