CN114882695A - High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data - Google Patents

High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data Download PDF

Info

Publication number
CN114882695A
CN114882695A CN202210293605.9A CN202210293605A CN114882695A CN 114882695 A CN114882695 A CN 114882695A CN 202210293605 A CN202210293605 A CN 202210293605A CN 114882695 A CN114882695 A CN 114882695A
Authority
CN
China
Prior art keywords
value
acceleration
data
threshold
sharp
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
Application number
CN202210293605.9A
Other languages
Chinese (zh)
Inventor
王春波
罗杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Yimeng Hengxin Technology Co ltd
Original Assignee
Chengdu Yimeng Hengxin Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chengdu Yimeng Hengxin Technology Co ltd filed Critical Chengdu Yimeng Hengxin Technology Co ltd
Priority to CN202210293605.9A priority Critical patent/CN114882695A/en
Publication of CN114882695A publication Critical patent/CN114882695A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention relates to a high risk judgment method and a high risk judgment system based on sharp acceleration and sharp reduction and sharp turning data, wherein the method comprises the following steps: acquiring various data information returned by all vehicles, and analyzing and counting the acquired data information of all vehicles to obtain a data set G; acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time, comparing and judging the acceleration value, the speed value and the angle value with a preset threshold value, and respectively obtaining a data set G meeting the judgment requirement 1 、G 2 And G 3 Writing the data of the data set into a high risk table; the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter are displayed, and a vehicle driver who gives an alarm is reminded, so that the vehicle data in the high-risk meter can be monitored and managed conveniently. The invention can conveniently and quickly monitor the behaviors of the vehicle with high risk of sudden acceleration, sudden deceleration and sudden turningThe vehicle with high risk behavior achieves the purpose of reducing road traffic accidents.

Description

High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data
Technical Field
The invention relates to the technical field of safe driving, in particular to a high risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data.
Background
Traffic accidents caused by high-risk driving behaviors account for the majority; at present, a plurality of enterprise vehicles are owned by a large enterprise or a plurality of vehicles are owned by a vehicle renting company, and how to strengthen the monitoring and management of the enterprise or company vehicles to prevent and reduce the risk of traffic accidents of the enterprise or company vehicles in the driving process is considered at the present stage.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a high-risk judgment method and a high-risk judgment system based on sharp acceleration, sharp decrease and sharp turning data, which can monitor and manage vehicles of enterprises or companies and reduce high-risk driving behaviors.
The purpose of the invention is realized by the following technical scheme: a high risk determination method based on sharp decreases and sharp turns data, the high risk determination method comprising:
a data acquisition step: acquiring various data information returned by all vehicles of a company or an enterprise, and analyzing and counting license plate numbers, acceleration, speed, angles, alarm time and current positions of all the acquired vehicles to obtain a data set G;
a real-time judgment step: acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time, comparing and judging the acceleration value, the speed value and the angle value with a preset threshold value, and respectively obtaining a data set G meeting the judgment requirement 1 、G 2 And G 3 And the data set G 1 、G 2 And G 3 Write the data of (2) into the high risk table;
a display reminding step: the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter are displayed, and a vehicle driver who gives an alarm is reminded, so that the vehicle data in the high-risk meter can be monitored and managed conveniently.
The high risk determination method further includes a threshold setting step; the threshold setting step comprises the steps of setting a first acceleration threshold, setting a second acceleration threshold, setting a speed threshold and setting an angle threshold.
The real-time determining step specifically includes:
acquiring an acceleration value, a speed value and an angle value of each vehicle which are acquired in real time, and comparing and judging the acceleration value, the speed value and the angle value with the threshold value set in the threshold value setting step;
if the acceleration value in the acquired data is larger than a first threshold value of acceleration, marking the acceleration as rapid acceleration to obtain a data set G 1
If the acceleration value in the acquired data is smaller than a second acceleration threshold value, marking the acceleration value as rapid deceleration to obtain a data set G 2
If the speed value in the acquired data is greater than the speed threshold value and the angle is greater than the angle threshold value, marking the data as a sharp turn to obtain a data set G 3
A high risk judgment system based on urgent acceleration, urgent deceleration and urgent turning data comprises a data acquisition module, a real-time judgment module and a display reminding module; the data acquisition module is used for acquiring various data information returned by all vehicles of a company or an enterprise, and analyzing and counting license plates, acceleration, speed, angles, alarm time and current positions of all the acquired vehicles to obtain a data set G; the real-time judging module is used for acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time, comparing and judging the acceleration value, the speed value and the angle value with a preset threshold value, and respectively obtaining a data set G meeting the judging requirements 1 、G 2 And G 3 And the data set G 1 、G 2 And G 3 Write the data of (2) into the high risk table; the display reminding module is used for displaying the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter, and reminding a vehicle driver who gives an alarm so as to conveniently monitor and manage vehicle data in the high-risk meter.
The device also comprises a threshold setting module, wherein the threshold setting module is used for setting a first acceleration threshold, a second acceleration threshold, a speed threshold and an angle threshold.
The real-time judging module comprises a threshold value comparing unit, a first judging unit, a second judging unit and a third judging unit; the threshold comparison unit is used for comparing and judging the acquired acceleration value, speed value and angle value of each vehicle collected in real time with the threshold set by the threshold setting module; the first determination unitThe acceleration judging method is used for judging that if the acceleration value in the acquired data is larger than a first threshold value of acceleration, the acceleration is marked as rapid acceleration, and a data set G is obtained 1 (ii) a The second judging unit is used for judging that if the acceleration value in the acquired data is smaller than a second threshold of acceleration, the acceleration value is marked as rapid deceleration to obtain a data set G 2 (ii) a The third judging unit is used for judging that if the speed value in the acquired data is greater than the speed threshold value and the angle is greater than the angle threshold value, the data is marked as a sharp turn, and a data set G is obtained 3
The invention has the following advantages: a high risk judgment method and a high risk judgment system based on urgent acceleration, urgent deceleration and urgent turning data can monitor vehicles with high risk behaviors conveniently and quickly through judgment of the urgent acceleration, the urgent deceleration and the urgent turning of the vehicles of enterprises or companies, and simultaneously carry out warning and training on vehicle drivers to achieve the purpose of reducing road traffic accidents and reduce the high risk cost of the enterprises or companies.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the detailed description of the embodiments of the present application provided below in connection with the appended drawings is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. The invention is further described below with reference to the accompanying drawings.
In order to enhance the management of enterprises on high-risk driving behavior vehicles, the invention judges whether the vehicles have the conditions of rapid acceleration, rapid deceleration and rapid turning by reading data (license plate number, ID number, acceleration value, speed, angle (GPS angle change), alarm time and current position) returned by an automobile driving recorder and marks the conditions as high-risk states. And vehicles with high-risk driving behaviors are listed through the high-risk report form, warning and training are carried out on drivers of enterprises, and road traffic accidents are prevented.
As shown in fig. 1, one embodiment of the present invention relates to a high risk determination method based on sharp decreases and sharp turns data, the high risk determination method including:
a data acquisition step: acquiring various data information returned by all vehicles of a company or an enterprise, and analyzing and counting license plate numbers, acceleration, speed, angles, alarm time and current positions of all the acquired vehicles to obtain a data set G;
a real-time judgment step: acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time, comparing and judging the acceleration value, the speed value and the angle value with a preset threshold value, and respectively obtaining a data set G meeting the judgment requirement 1 、G 2 And G 3 And the data set G 1 、G 2 And G 3 Write the data of (2) into the high risk table;
a display reminding step: the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter are displayed, and a vehicle driver who gives an alarm is reminded, so that the vehicle data in the high-risk meter can be monitored and managed conveniently.
Further, the high risk determination method further includes a threshold setting step; the threshold setting step comprises setting a first acceleration threshold, setting a second acceleration threshold, setting a speed threshold and setting an angle threshold.
Wherein the first threshold value of the acceleration is set to 3m/s 2 The second threshold value of the acceleration is set to-5 m/s 2 The speed threshold was set at 30km/h and the angle threshold was set at 45 °.
Further, the real-time determining step specifically includes:
acquiring an acceleration value, a speed value and an angle value of each vehicle which are acquired in real time, and comparing and judging the acceleration value, the speed value and the angle value with the threshold value set in the threshold value setting step;
if the acceleration value in the acquired data is larger than a first threshold value of acceleration, marking the acceleration as rapid acceleration to obtain a data set G 1
If the acceleration value in the acquired data is smaller than a second acceleration threshold value, marking the acceleration value as rapid deceleration to obtain a data set G 2
If the speed value in the acquired data is greater than the speed threshold value and the angle is greater than the angle threshold value, marking the data as a sharp turn to obtain a data set G 3
The invention relates to a high risk judgment system based on urgent need and urgent turn data, which comprises a data acquisition module, a real-time judgment module and a display reminding module; the data acquisition module is used for acquiring various data information returned by all vehicles of a company or an enterprise, and analyzing and counting license plates, acceleration, speed, angles, alarm time and current positions of all the acquired vehicles to obtain a data set G; the real-time judging module is used for acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time, comparing and judging the acceleration value, the speed value and the angle value with a preset threshold value, and respectively obtaining a data set G meeting the judging requirements 1 、G 2 And G 3 And the data set G 1 、G 2 And G 3 Write the data of (2) into the high risk table; the display reminding module is used for displaying the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter, and reminding a driver of a vehicle which gives an alarm so as to conveniently monitor and manage the vehicle data in the high-risk meter.
The device also comprises a threshold setting module, wherein the threshold setting module is used for setting a first acceleration threshold, a second acceleration threshold, a speed threshold and an angle threshold.
The real-time judging module comprises a threshold value comparing unit, a first judging unit, a second judging unit and a third judging unit; the threshold comparison unit is used for acquiring the acceleration value of each vehicle acquired in real timeThe speed value and the angle value are compared and judged with the threshold set by the threshold setting module; the first judging unit is used for judging that if the acceleration value in the acquired data is larger than a first threshold value of acceleration, the acceleration is marked as rapid acceleration, and a data set G is obtained 1 (ii) a The second judging unit is used for judging that if the acceleration value in the acquired data is smaller than a second threshold of acceleration, the acceleration value is marked as rapid deceleration to obtain a data set G 2 (ii) a The third judging unit is used for judging that if the speed value in the acquired data is greater than the speed threshold value and the angle is greater than the angle threshold value, the data is marked as a sharp turn, and a data set G is obtained 3
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. A high risk determination method based on sharp acceleration and sharp reduction and sharp turn data is characterized in that: the high risk determination method includes:
a data acquisition step: acquiring various data information returned by all vehicles of a company or an enterprise, and analyzing and counting license plate numbers, acceleration, speed, angles, alarm time and current positions of all the acquired vehicles to obtain a data set G;
a real-time judgment step: acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time, comparing and judging the acceleration value, the speed value and the angle value with a preset threshold value, and respectively obtaining a data set G meeting the judgment requirement 1 、G 2 And G 3 And the data set G 1 、G 2 And G 3 Write the data of (2) into the high risk table;
a display reminding step: the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter are displayed, and a vehicle driver who gives an alarm is reminded, so that the vehicle data in the high-risk meter can be monitored and managed conveniently.
2. The high risk determination method based on sharp decreases and sharp turns data according to claim 1, characterized in that: the high risk determination method further includes a threshold setting step; the threshold setting step comprises setting a first acceleration threshold, setting a second acceleration threshold, setting a speed threshold and setting an angle threshold.
3. The high risk determination method based on sharp acceleration, sharp decrease and sharp turn data according to claim 2, characterized in that: the real-time determining step specifically includes:
acquiring an acceleration value, a speed value and an angle value of each vehicle which are acquired in real time, and comparing and judging the acceleration value, the speed value and the angle value with the threshold value set in the threshold value setting step;
if the acceleration value in the acquired data is larger than a first threshold value of acceleration, marking the acceleration as rapid acceleration to obtain a data set G 1
If the acceleration value in the acquired data is smaller than a second acceleration threshold value, marking the acceleration value as rapid deceleration to obtain a data set G 2
If the speed value in the acquired data is greater than the speed threshold value and the angle is greater than the angle threshold value, marking the data as a sharp turn to obtain a data set G 3
4. A high risk determination system based on sharp decreases and sharp turns data, characterized in that: the system comprises a data acquisition module, a real-time judgment module and a display reminding module; the data acquisition module is used for acquiring various data information returned by all vehicles of a company or an enterprise, and analyzing and counting license plates, acceleration, speed, angles, alarm time and current positions of all the acquired vehicles to obtain a data set G; the real-time judging module is used for acquiring the acceleration value, the speed value and the angle value of each vehicle acquired in real time and comparing the values with a preset threshold valuePerforming comparison and judgment to respectively obtain data sets G meeting judgment requirements 1 、G 2 And G 3 And the data set G 1 、G 2 And G 3 Write the data of (2) into the high risk table; the display reminding module is used for displaying the license plate number, the alarm type, the acceleration value, the angle, the speed, the alarm time and the current position in the high-risk meter, and reminding a driver of a vehicle which gives an alarm so as to conveniently monitor and manage the vehicle data in the high-risk meter.
5. A high risk determination system based on sharp decreases and sharp turns data according to claim 4, characterized in that: the device also comprises a threshold setting module, wherein the threshold setting module is used for setting a first acceleration threshold, a second acceleration threshold, a speed threshold and an angle threshold.
6. A high risk determination system based on sharp decreases and sharp turns data according to claim 5, characterized in that: the real-time judging module comprises a threshold value comparing unit, a first judging unit, a second judging unit and a third judging unit; the threshold comparison unit is used for comparing and judging the acquired acceleration value, speed value and angle value of each vehicle collected in real time with the threshold set by the threshold setting module; the first judging unit is used for judging that if the acceleration value in the acquired data is larger than a first threshold value of acceleration, the acceleration is marked as rapid acceleration, and a data set G is obtained 1 (ii) a The second judging unit is used for judging that if the acceleration value in the acquired data is smaller than a second threshold of acceleration, the acceleration value is marked as rapid deceleration to obtain a data set G 2 (ii) a The third judging unit is used for judging that if the speed value in the acquired data is greater than the speed threshold value and the angle is greater than the angle threshold value, the data is marked as a sharp turn, and a data set G is obtained 3
CN202210293605.9A 2022-03-24 2022-03-24 High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data Pending CN114882695A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210293605.9A CN114882695A (en) 2022-03-24 2022-03-24 High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210293605.9A CN114882695A (en) 2022-03-24 2022-03-24 High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data

Publications (1)

Publication Number Publication Date
CN114882695A true CN114882695A (en) 2022-08-09

Family

ID=82668047

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210293605.9A Pending CN114882695A (en) 2022-03-24 2022-03-24 High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data

Country Status (1)

Country Link
CN (1) CN114882695A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116704780A (en) * 2023-07-05 2023-09-05 山东理工大学 Abnormal driving behavior identification method based on GPS track data

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104875731A (en) * 2015-05-19 2015-09-02 交通运输部公路科学研究所 Method for identifying rapid acceleration or rapid deceleration of vehicle in real time by using satellite positioning data
CN105575115A (en) * 2015-12-17 2016-05-11 福建星海通信科技有限公司 Driving behavior analysis method based on vehicle-mounted monitoring and management platform
CN107284451A (en) * 2017-06-22 2017-10-24 北京雄信息科技有限公司 The monitoring method and system of bad steering behavior based on GPS
CN107784407A (en) * 2016-08-25 2018-03-09 大连楼兰科技股份有限公司 Vehicle risk monitoring system, platform and method based on cloud platform
CN110060370A (en) * 2019-04-15 2019-07-26 上海经达信息科技股份有限公司 Vehicle suddenly accelerates anxious deceleration number equivalent statistics method
CN111145385A (en) * 2019-12-19 2020-05-12 广州航天海特系统工程有限公司 Method, device, equipment and storage medium for displaying vehicle running condition
CN111369826A (en) * 2020-02-28 2020-07-03 上海擎感智能科技有限公司 Dangerous vehicle reminding method, reminding device, readable storage medium and electronic equipment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104875731A (en) * 2015-05-19 2015-09-02 交通运输部公路科学研究所 Method for identifying rapid acceleration or rapid deceleration of vehicle in real time by using satellite positioning data
CN105575115A (en) * 2015-12-17 2016-05-11 福建星海通信科技有限公司 Driving behavior analysis method based on vehicle-mounted monitoring and management platform
CN107784407A (en) * 2016-08-25 2018-03-09 大连楼兰科技股份有限公司 Vehicle risk monitoring system, platform and method based on cloud platform
CN107284451A (en) * 2017-06-22 2017-10-24 北京雄信息科技有限公司 The monitoring method and system of bad steering behavior based on GPS
CN110060370A (en) * 2019-04-15 2019-07-26 上海经达信息科技股份有限公司 Vehicle suddenly accelerates anxious deceleration number equivalent statistics method
CN111145385A (en) * 2019-12-19 2020-05-12 广州航天海特系统工程有限公司 Method, device, equipment and storage medium for displaying vehicle running condition
CN111369826A (en) * 2020-02-28 2020-07-03 上海擎感智能科技有限公司 Dangerous vehicle reminding method, reminding device, readable storage medium and electronic equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116704780A (en) * 2023-07-05 2023-09-05 山东理工大学 Abnormal driving behavior identification method based on GPS track data

Similar Documents

Publication Publication Date Title
CN104933777B (en) A kind of method and its drive recorder that traffic information is uploaded by drive recorder
CA3041565C (en) Enhanced vehicle bad fuel sensor with crowdsourcing analytics
WO2020015165A1 (en) Electronic device, safety warning method on basis of driving behavior of user and storage medium
US9688283B2 (en) Enhanced driver and vehicle performance and analysis
CN103718218A (en) Systems and methods for managing fault codes
Castignani et al. An evaluation study of driver profiling fuzzy algorithms using smartphones
CN103198685A (en) Method and system for achieving driving safety early warning
CN110766943B (en) Monitoring method and system for judging bad driving behavior based on accident data
CN114999181B (en) Highway vehicle speed abnormality identification method based on ETC system data
CN110276954A (en) Vehicle driving behavior integration methods of marking based on BEI-DOU position system
CN108454633A (en) The method and apparatus of specification driver driving behavior
CN114882695A (en) High risk judgment method and system based on sharp acceleration and sharp reduction and sharp turning data
CN110723148A (en) Method and device for identifying bad driving behaviors
US20220383421A1 (en) Electronic System for Forward-looking Measurements of Frequencies and/or Probabilities of Accident Occurrences Based on Localized Automotive Device Measurements, And Corresponding Method Thereof
CN107918826A (en) The driver's evaluation and dispatching method that a kind of driving environment perceives
CN108961748A (en) A kind of intersection operational safety state arrangement method based on the illegal rate of equivalent
CN109204195B (en) Vehicle state data real-time monitoring method, device and system for automobile repair
Kim et al. Use of digital tachograph data to provide traffic safety education and evaluate effects on bus driver behavior
CN113989715A (en) Vehicle parking violation detection method and device, electronic equipment and storage medium
CN212313525U (en) Monitoring platform of vehicle operation and maintenance enterprise
CN205068519U (en) Drive behavior analysis evaluation system
CN111474565A (en) Method for judging illegal plugging condition of road transport vehicle satellite positioning system terminal
Klauer et al. Driver coach study: Using real-time and post hoc feedback to improve teen driving habits
Pavlova et al. Automated system for determining speed of cars ahead
CN113422829A (en) Passenger vehicle warning method, warning device, computer storage medium and terminal

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20220809

RJ01 Rejection of invention patent application after publication