CN111243290A - Driving behavior data acquisition and analysis method and system - Google Patents
Driving behavior data acquisition and analysis method and system Download PDFInfo
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- CN111243290A CN111243290A CN202010346681.2A CN202010346681A CN111243290A CN 111243290 A CN111243290 A CN 111243290A CN 202010346681 A CN202010346681 A CN 202010346681A CN 111243290 A CN111243290 A CN 111243290A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
Abstract
The invention discloses a driving behavior data acquisition and analysis method and system. The invention relates to the technical field of traffic big data analysis, and solves the problem that the traditional driving behavior data acquisition mode causes high data acquisition and analysis cost. The data content is selected to be positioning data, speed data, urgent and urgent deceleration data, lane departure data, license plate image data and front road video data, the data source can be a vehicle data recorder or a vehicle-mounted mobile phone of any vehicle on the road, more than 90% of road vehicles can be basically covered on the premise of not increasing additional construction cost, the data acquisition advantages of wide data source and simple and convenient data acquisition are achieved, the analysis advantages of simple analysis method and low performance requirement of analysis equipment are achieved, the construction and operation and maintenance cost is greatly reduced on the whole, and the realization, popularization and popularization of driving behavior analysis are facilitated.
Description
Technical Field
The invention relates to the technical field of traffic big data analysis, in particular to a driving behavior data acquisition and analysis method and system.
Background
The driving behavior analysis has important significance on road driving accident risk prevention and control, driver credit evaluation and transportation enterprise safety supervision, and the main contents of the driving behavior analysis comprise four items of track tracking, overspeed monitoring, collision early warning monitoring and lane departure monitoring.
At present, the main means for acquiring the four behavior data in the industry is to add professional Auxiliary Driving (ADAS) equipment in a vehicle or install a fixed detection device such as a video monitor and a radar on a road. On the one hand, the construction and maintenance costs of the installation and fixation detection device of professional ADAS equipment or road upright stanchions are very high. On the other hand, a large number of vehicles such as private cars and ordinary trucks cannot be forcibly provided with equipment, and road resources for installing fixing devices are limited, so that the actual acquisition of driving behavior data is very difficult.
Because traditional driving behavior data acquisition all relies on the professional equipment of single car or single-point, the concentration is higher, and single equipment acquisition and processing data volume is big, and the timeliness requires highly, leads to single equipment's calculation performance and processing speed to require highly, thereby leads to data acquisition and analysis cost to remain high, produces the irreconcilable contradiction between performance and price, and the popularization of driving behavior analysis receive very big hindrance. Therefore, the design of the driving behavior data acquisition and analysis method with high cost performance has important practical significance.
Disclosure of Invention
The invention aims to provide a driving behavior data acquisition and analysis method and system, which can conveniently and efficiently acquire behavior data only by using a vehicle data recorder of any vehicle or even a mobile phone, have low requirements on equipment performance, have simpler analysis method, can greatly reduce construction, operation and maintenance cost, and are more favorable for popularization and promotion of driving behavior analysis.
In a first aspect, the present invention provides a driving behavior data acquisition and analysis method, the method comprising:
after A car starts, under A car is provided with the circumstances of driving action collection system, the real-time driving action data of A car is acquireed to the driving action collection system, wherein, the driving action data passes through the driving action collection system is gathered and is uploaded to the server, the driving action collection system is vehicle event data recorder or smart mobile phone, the driving action data include: positioning data, a timestamp, speed data, urgent acceleration and deceleration data, lane departure data, license plate image data and front road video data;
the driving behavior acquisition device draws a driving track of the vehicle A according to the positioning data and the timestamp of the vehicle A;
the driving behavior acquisition device judges whether the speed data of the vehicle A is greater than a preset speed threshold value or not;
if the speed data of the vehicle A is larger than a preset speed threshold value, the driving behavior acquisition device generates an overspeed report according to the positioning data and the timestamp of the vehicle A;
the driving behavior acquisition device calculates the relative distance between the vehicle A and the front vehicle according to the size of the license plate of the front vehicle in the front road video data of the vehicle A;
the driving behavior acquisition device calculates the predicted collision time of the vehicle A and the front vehicle according to the emergency acceleration and deceleration data, the speed data and the relative distance of the vehicle A;
the driving behavior acquisition device judges whether the predicted collision time is smaller than a preset collision time threshold value or not;
if the predicted collision time is smaller than a preset collision time threshold value, the driving behavior acquisition device generates a front vehicle collision early warning report form according to the positioning data and the timestamp of the vehicle A;
the driving behavior acquisition device identifies a lane line in the front video data of the A vehicle;
the driving behavior acquisition device calculates the distance of the center of the vehicle A deviating from the lane line;
the driving behavior acquisition device judges whether the distance is greater than a preset lane departure distance threshold value or not;
and if the distance is greater than a preset lane departure distance threshold value, the driving behavior acquisition device generates a lane departure early warning report form according to the positioning data and the timestamp of the vehicle A.
The method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A or not;
if the license plate of the vehicle A exists in the license plate image data, the license plate of the vehicle A is uploaded to a server by a vehicle B, a.
And the server draws the driving track of the vehicle A according to the positioning data and the time stamp after the positioning point de-duplication processing.
The method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A or not;
if the license plate image data contains the license plate of the vehicle A, the license plate of the vehicle A is uploaded to a server by the vehicle B, and the server calculates the relative speed of the vehicle A to the vehicle B according to the size change data of the license plate of the vehicle A in the front road video data uploaded by the vehicle B;
the server calculates the speed of the vehicle A according to the speed data and the time stamp of the vehicle B and the relative speed;
the server judges whether the speed of the vehicle A is greater than a preset speed threshold value or not;
and if the speed of the vehicle A is greater than a preset speed threshold value, the server generates an overspeed report about the vehicle A according to the speed of the vehicle A.
The method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A and the license plate of the adjacent vehicle near the vehicle A in the same image;
if the license plate of the vehicle A and the license plate of the adjacent vehicle near the vehicle A exist in the same image in the license plate image data, the license plate of the vehicle A and the license plate of the adjacent vehicle are uploaded to a server by a vehicle B, the server calculates the front-back distance between the vehicle A and the adjacent vehicle according to the size of the license plate of the vehicle A and the size of the license plate of the adjacent vehicle, and calculates the relative position between the vehicle A and the adjacent vehicle according to the front-back distance and the left-right distance between the vehicle A and the adjacent vehicle;
the server judges whether the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value or not according to the relative position;
and if the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value, the server generates a lane-changing collision early warning report form about the vehicle A according to the positioning data and the timestamp uploaded by the vehicle B.
The method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A or not;
if the license plate image data contains the license plate of the vehicle A, the license plate of the vehicle A is uploaded to a server by the vehicle B, and the server identifies a lane line in the front road video data uploaded by the vehicle B;
the server calculates the relative position of the license plate of the vehicle A and the lane line in the front road video data uploaded by the vehicle B;
the server judges whether the license plate of the vehicle A is superposed with the abscissa of the lane line or not according to the relative position;
if the license plate of the vehicle A is superposed with the abscissa of the lane line, the server generates a line pressing early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B;
if the license plate of the vehicle A does not coincide with the abscissa of the lane line, the server judges whether the distance between the license plate of the vehicle A and the abscissa of the lane line is smaller than a preset lane departure distance threshold value or not;
if the distance between the license plate of the vehicle A and the horizontal coordinate direction of the lane line is smaller than a preset lane departure distance threshold value;
and the server generates a lane departure early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
In a second aspect, the present invention provides a driving behaviour data acquisition and analysis system, said system comprising: the driving behavior acquisition device is arranged on a vehicle, and the server is communicated with the driving behavior acquisition device;
after A car starts, under A car is provided with driving action collection system's the condition, driving action collection system for obtain the real-time driving action data of A car, wherein, driving action data passes through driving action collection system gathers and uploads to the server, driving action collection system is vehicle event data recorder or smart mobile phone, driving action data include: positioning data, a timestamp, speed data, urgent acceleration and deceleration data, lane departure data, license plate image data and front road video data; drawing a driving track of the vehicle A according to the positioning data and the timestamp of the vehicle A; judging whether the speed data of the vehicle A is greater than a preset speed threshold value or not, and if the speed data of the vehicle A is greater than the preset speed threshold value, generating an overspeed report according to the positioning data and the timestamp of the vehicle A; calculating the relative distance between the A vehicle and the front vehicle according to the size of the license plate of the front vehicle in the front road video data of the A vehicle, calculating the predicted collision time of the A vehicle and the front vehicle according to the rapid acceleration and deceleration data, the speed data and the relative distance of the A vehicle, judging whether the predicted collision time is smaller than a preset collision time threshold value, and generating a front vehicle collision early warning report form according to the positioning data and the timestamp of the A vehicle if the predicted collision time is smaller than the preset collision time threshold value; identifying a lane line in front video data of the vehicle A, calculating the distance of the center of the vehicle A deviating from the lane line, judging whether the distance is greater than a preset lane deviation distance threshold value, and if the distance is greater than the preset lane deviation distance threshold value, generating a lane deviation early warning report form according to positioning data and a timestamp of the vehicle A;
the server is used for receiving the driving behavior data.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
the method comprises the steps of receiving a license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if yes, uploading the license plate number of the vehicle A to a server by a vehicle B, a.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
the method comprises the steps of receiving a license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if yes, uploading the license plate number of the vehicle A to a server by the vehicle B, calculating the relative speed of the vehicle A to the vehicle B by the server according to size change data of the license plate number of the vehicle A in front road video data uploaded by the vehicle B, calculating the speed of the vehicle A according to the speed data and the timestamp of the vehicle B and the relative speed, judging whether the speed of the vehicle A is larger than a preset speed threshold value, and if the speed of the vehicle A is larger than the preset speed threshold value, generating an overspeed report about the vehicle A by the server according to the speed of the vehicle A.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A and the license plate of an adjacent vehicle near the vehicle A exist in the same image or not in the license plate image data, if so, uploading the license plate number of the vehicle A and the license plate of the adjacent vehicle near the vehicle A to a server by a vehicle B, calculating the front-back distance between the vehicle A and the adjacent vehicle according to the size of the license plate number of the vehicle A and the license plate of the adjacent vehicle, calculating the relative position between the vehicle A and the adjacent vehicle according to the front-back distance and the left-right distance between the vehicle A and the adjacent vehicle, judging whether the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value according to the relative position, and if the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value, generating a lane-changing collision early warning report form about the vehicle A according to the positioning data and the timestamp uploaded by the vehicle B.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if so, uploading the license plate number of the vehicle A to a server by the vehicle B, identifying a lane line in front road video data uploaded by the vehicle B, calculating the relative position of the license plate number of the vehicle A and the lane line in the front road video data uploaded by the vehicle B, judging whether the horizontal coordinates of the license plate number of the vehicle A and the lane line coincide according to the relative position, if so, generating a line pressing pre-warning report about the vehicle A according to positioning data and a time stamp of the vehicle B, if not, judging whether the distance between the license plate number of the vehicle A and the horizontal coordinates of the lane line is smaller than a preset lane deviation distance threshold value, and if the distance between the license plate of the vehicle A and the horizontal coordinate direction of the lane line is smaller than a preset lane departure distance threshold, generating a lane departure early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
According to the technical scheme, the driving behavior data acquisition and analysis method and system have the advantages of wide data source, simplicity and convenience in data acquisition, simplicity in analysis method and low performance requirement of analysis equipment, greatly reduce construction and operation and maintenance cost overall, and are more beneficial to implementation, popularization and popularization of driving behavior analysis.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any inventive exercise.
Fig. 1 is a track following flowchart of a driving behavior data acquisition and analysis method provided by the present invention.
FIG. 2 is a flow chart of overspeed monitoring of the driving behavior data acquisition and analysis method provided by the present invention.
Fig. 3 is a collision early warning monitoring flow chart of the driving behavior data acquisition and analysis method provided by the invention.
Fig. 4 is a lane departure monitoring flowchart of the driving behavior data acquisition and analysis method provided by the present invention.
FIG. 5 is a schematic diagram of a driving behavior data acquisition and analysis system provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
The invention provides a set of complete driving behavior data acquisition and analysis method, which comprises three parts of data acquisition, data transmission and data analysis.
For data acquisition, the data content selected by the invention is positioning data, speed data, rapid acceleration and deceleration data, lane departure data, license plate image data and front road video data, and the data source can be a driving recorder or a vehicle-mounted mobile phone (hereinafter collectively referred to as a driving behavior acquisition device) of any vehicle on the road. The ordinary automobile data recorder can automatically acquire positioning data, speed data and front road video data. The high-end automobile data recorder can automatically acquire urgent acceleration and deceleration data, lane departure data and license plate image data. The vehicle without the automobile data recorder can acquire positioning data, speed data and urgent acceleration and deceleration data by utilizing the mobile phone installation APP, and lane departure data, license plate image data and front road video data can be acquired when the mobile phone is over against the front road. Due to the fact that driving records and mobile phones are very popular, the data acquisition mode can basically cover more than 90% of road vehicles on the premise that extra construction cost is not increased. For data transmission, the automobile data recorder can upload data through a wireless module or through a Bluetooth and WIFI connected mobile phone, and the mobile phone installation APP can automatically upload data through an operator network and WIFI.
Fig. 1 is a flowchart of trajectory tracking in the driving behavior data acquisition and analysis method provided by the present invention. After the A car starts, be provided with driving action collection system at the A car, and under the normal condition of driving action collection system work, driving action collection system acquireed real-time location data of A car and timestamp, then, driving action collection system draws the orbit of traveling of A car according to the location data and the timestamp of A car.
After the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device or the driving behavior acquisition device fails, the license plate number of the vehicle A to be inquired is received through the server, the server identifies the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, and the server judges whether the license plate number of the vehicle A exists in the license plate image data. If the license plate of the vehicle A exists in the license plate image data, the license plate of the vehicle A is uploaded to a server by the vehicle B, the. And the server draws the driving track of the vehicle A according to the positioning data and the time stamp after the positioning point de-duplication processing.
For vehicles provided with high-end automobile data recorders, license plate number identification can be completed in the automobile data recorders, and the automobile data recorders at low ends only need to upload license plate pictures to the server, so that license plate number identification is completed through the server. The trajectory tracking can be applied to scenes such as police tracking and evasion, the vehicle trajectory of which license plate needs to be checked is proposed through a background, and the server starts to call the flow. Before the inquiry requirement is put forward, the server receives and identifies license plate pictures uploaded by the driving behavior acquisition devices of all vehicles, and stores the license plate pictures for a certain time (usually 30 days), and the data are deleted and covered after a certain time. With respect to the anchor point deduplication process, in fact, many vehicles may identify the same vehicle on a certain road section during a certain time period, and points near (where the anchor point distance may be set) during the same time period (where the timestamp interval may be set) may be removed, for example, if a vehicle is identified by a vehicle B at 10:00:00 for anchor point (X, Y), and by a vehicle C at 10:00:05 for anchor point (X1, Y1), (X, Y) and (X1, Y1) for a distance of less than 10m, then the vehicle B data is discarded.
The invention utilizes the positioning data collected by the driving behavior collecting device of the vehicle to form the driving track, and utilizes the license plate image data and the positioning data collected by the driving behavior collecting device of other vehicles to assist in positioning the driving track of the vehicle, thereby making up the track tracking problem when no driving behavior collecting device exists.
FIG. 2 is a flow chart of overspeed monitoring in a driving behavior data acquisition and analysis method provided by the present invention. After the vehicle A is started, a driving behavior acquisition device is arranged on the vehicle A, and under the condition that the driving behavior acquisition device works normally, the driving behavior acquisition device acquires speed data of the vehicle A and judges whether the speed data of the vehicle A is larger than a preset speed threshold value or not. And if the speed data of the vehicle A is greater than the preset speed threshold value, the driving behavior acquisition device generates an overspeed report according to the positioning data and the timestamp of the vehicle A.
After the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device or the driving behavior acquisition device fails, the license plate number of the vehicle A to be inquired can be received through the server, and the server identifies the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A. And the server judges whether the license plate of the vehicle A exists in the license plate image data. And if the license plate image data contains the license plate of the vehicle A, the license plate of the vehicle A is uploaded to the server by the vehicle B, and the server calculates the relative speed of the vehicle A to the vehicle B according to the size change data of the license plate of the vehicle A in the front road video data uploaded by the vehicle B. And the server calculates the speed of the vehicle A according to the speed data and the time stamp of the vehicle B and the relative speed. The server judges whether the speed of the vehicle A is greater than a preset speed threshold value. And if the speed of the vehicle A is greater than a preset speed threshold value, the server generates an overspeed report about the vehicle A according to the speed of the vehicle A.
The invention forms an overspeed report by using the speed data acquired by the driving behavior acquisition device of the vehicle, judges the relative speed by using the video acquired by the driving behavior acquisition device of the other vehicle and deduces the speed of the target vehicle by combining the speed of the vehicle, and takes the image data and the positioning data of the license plate as the time and place stamp to solve the overspeed monitoring problem without the driving behavior acquisition device.
Fig. 3 is a flow chart of collision warning monitoring in the driving behavior data acquisition and analysis method provided by the present invention. After the A car starts, be provided with driving action collection system at the A car, and under the normal condition of driving action collection system work, driving action collection system acquireed the speed data, the urgent speed reduction data that adds of A car, location data and timestamp. The driving behavior acquisition device calculates the relative distance between the vehicle A and the front vehicle according to the size of the license plate of the front vehicle in the front road video data of the vehicle A. The driving behavior acquisition device calculates the predicted collision time of the vehicle A and the front vehicle according to the rapid acceleration and deceleration data, the speed data and the relative distance of the vehicle A. And the driving behavior acquisition device judges whether the predicted collision time is smaller than a preset collision time threshold value. And if the predicted collision time is smaller than a preset collision time threshold value, the driving behavior acquisition device generates a front vehicle collision early warning report form according to the positioning data and the timestamp of the vehicle A.
After the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device or the driving behavior acquisition device fails, the license plate number of the vehicle A to be inquired can be received through the server, and the server identifies the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A. And the server judges whether the license plate image data contains the license plate of the vehicle A and the license plate of the adjacent vehicle near the vehicle A in the same image. If the license plate of the vehicle A and the license plate of the adjacent vehicle near the vehicle A exist in the same image in the license plate image data, the license plate of the vehicle A and the license plate of the adjacent vehicle are uploaded to the server by the vehicle B, the server calculates the front-back distance between the vehicle A and the adjacent vehicle according to the size of the license plate of the vehicle A and the size of the license plate of the adjacent vehicle, and calculates the relative position between the vehicle A and the adjacent vehicle according to the front-back distance and the left-right distance between the vehicle A and the adjacent vehicle. And the server judges whether the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value or not according to the relative position. And if the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value, the server generates a lane-changing collision early warning report form about the vehicle A according to the positioning data and the timestamp uploaded by the vehicle B.
The invention utilizes the speed data, the rapid acceleration and deceleration data and the video image data of the front vehicle collected by the driving behavior collecting device of the vehicle to deduce the predicted collision time of the front vehicle, and simultaneously utilizes the license plate images collected by the driving behavior collecting devices of other vehicles to calculate the front, back, left and right relative positions of the license plates of different front vehicles so as to deduce the lane-changing collision condition of the vehicle.
Fig. 4 is a flow chart of lane departure monitoring in the driving behavior data acquisition and analysis method provided by the present invention. After the A car starts, be provided with driving action collection system at the A car, and under the normal condition of driving action collection system work, driving action collection system acquireed the place ahead video data, the location data and the timestamp of A car. The driving behavior acquisition device identifies a lane line in the front video data of the A vehicle. The driving behavior acquisition device calculates the distance of the center of the A vehicle deviating from the lane line. And the driving behavior acquisition device judges whether the distance is greater than a preset lane departure distance threshold value. And if the distance is greater than a preset lane departure distance threshold value, the driving behavior acquisition device generates a lane departure early warning report form according to the positioning data and the timestamp of the vehicle A.
After the vehicle A is started, the server receives the license plate number of the vehicle A to be inquired under the condition that the vehicle A is not provided with the driving behavior acquisition device or the driving behavior acquisition device fails. And the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A. And the server judges whether the license plate of the vehicle A exists in the license plate image data. And if the license plate of the vehicle A exists in the license plate image data, the license plate of the vehicle A is uploaded to a server by the vehicle B, and the server identifies a lane line in the front road video data uploaded by the vehicle B. And the server calculates the relative position of the license plate of the vehicle A and the lane line in the front road video data uploaded by the vehicle B. And the server judges whether the license plate of the vehicle A is superposed with the abscissa of the lane line according to the relative position. And if the license plate of the vehicle A is superposed with the abscissa of the lane line, the server generates a line pressing early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
If the license plate of the vehicle A does not coincide with the abscissa of the lane line, the server judges whether the distance between the license plate of the vehicle A and the abscissa of the lane line is smaller than a preset lane departure distance threshold value or not; and if the distance between the license plate of the vehicle A and the horizontal coordinate direction of the lane line is less than the preset lane departure distance threshold value. And the server generates a lane departure early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
The invention utilizes the video data collected by the driving behavior collecting device of the vehicle to calculate the deviation distance between the vehicle and the left and right lane lines, and utilizes the license plate image and the video data collected by the driving behavior collecting device of other vehicles to calculate the relative position between the license plate and the lane lines, thereby deducing the lane deviation distance and the line pressing condition of the vehicle.
The data analysis process of each driving behavior is partially carried out in the local driving behavior acquisition device, and is partially uploaded to the background operation processing, the processing process for judging the driving behavior of the vehicle by using the acquired data of the vehicle is prior, if the vehicle cannot be judged by the vehicle, the processing process for judging the driving behavior of the vehicle by using the acquired data of other vehicles serves as an aid, and the redundant threshold value for judging the driving behavior of the same vehicle by using the acquired data of a plurality of vehicles can be set according to the actual situation.
As shown in fig. 5, the present invention also provides a driving behavior data acquisition and analysis system, the system comprising: a driving behavior collection device 200 provided on a vehicle, and a server 100 communicating with the driving behavior collection device 200.
After A car starts, under A car is provided with driving action collection system's the condition, driving action collection system for obtain the real-time driving action data of A car, wherein, driving action data passes through driving action collection system gathers and uploads to the server, driving action collection system is vehicle event data recorder or smart mobile phone, driving action data include: positioning data, a timestamp, speed data, urgent acceleration and deceleration data, lane departure data, license plate image data and front road video data; drawing a driving track of the vehicle A according to the positioning data and the timestamp of the vehicle A; judging whether the speed data of the vehicle A is greater than a preset speed threshold value or not, and if the speed data of the vehicle A is greater than the preset speed threshold value, generating an overspeed report according to the positioning data and the timestamp of the vehicle A; calculating the relative distance between the A vehicle and the front vehicle according to the size of the license plate of the front vehicle in the front road video data of the A vehicle, calculating the predicted collision time of the A vehicle and the front vehicle according to the rapid acceleration and deceleration data, the speed data and the relative distance of the A vehicle, judging whether the predicted collision time is smaller than a preset collision time threshold value, and generating a front vehicle collision early warning report form according to the positioning data and the timestamp of the A vehicle if the predicted collision time is smaller than the preset collision time threshold value; the method comprises the steps of identifying a lane line in front video data of a vehicle A, calculating the distance of the center of the vehicle A deviating from the lane line, judging whether the distance is larger than a preset lane deviation distance threshold value, and if the distance is larger than the preset lane deviation distance threshold value, generating a lane deviation early warning report form according to positioning data and a timestamp of the vehicle A. The server is used for receiving the driving behavior data.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for: the method comprises the steps of receiving a license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if yes, uploading the license plate number of the vehicle A to a server by a vehicle B, a.
After the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server is also used for; the method comprises the steps of receiving a license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if yes, uploading the license plate number of the vehicle A to a server by the vehicle B, calculating the relative speed of the vehicle A to the vehicle B by the server according to size change data of the license plate number of the vehicle A in front road video data uploaded by the vehicle B, calculating the speed of the vehicle A according to the speed data and the timestamp of the vehicle B and the relative speed, judging whether the speed of the vehicle A is larger than a preset speed threshold value, and if the speed of the vehicle A is larger than the preset speed threshold value, generating an overspeed report about the vehicle A by the server according to the speed of the vehicle A.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for: receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A and the license plate of an adjacent vehicle near the vehicle A exist in the same image or not in the license plate image data, if so, uploading the license plate number of the vehicle A and the license plate of the adjacent vehicle near the vehicle A to a server by a vehicle B, calculating the front-back distance between the vehicle A and the adjacent vehicle according to the size of the license plate number of the vehicle A and the license plate of the adjacent vehicle, calculating the relative position between the vehicle A and the adjacent vehicle according to the front-back distance and the left-right distance between the vehicle A and the adjacent vehicle, judging whether the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value according to the relative position, and if the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value, generating a lane-changing collision early warning report form about the vehicle A according to the positioning data and the timestamp uploaded by the vehicle B.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if so, uploading the license plate number of the vehicle A to a server by the vehicle B, identifying a lane line in front road video data uploaded by the vehicle B, calculating the relative position of the license plate number of the vehicle A and the lane line in the front road video data uploaded by the vehicle B, judging whether the horizontal coordinates of the license plate number of the vehicle A and the lane line coincide according to the relative position, if so, generating a line pressing pre-warning report about the vehicle A according to positioning data and a time stamp of the vehicle B, if not, judging whether the distance between the license plate number of the vehicle A and the horizontal coordinates of the lane line is smaller than a preset lane deviation distance threshold value, and if the distance between the license plate of the vehicle A and the horizontal coordinate direction of the lane line is smaller than a preset lane departure distance threshold, generating a lane departure early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention.
Claims (2)
1. A driving behavior data acquisition and analysis method, the method comprising:
after A car starts, under A car is provided with the circumstances of driving action collection system, the real-time driving action data of A car is acquireed to the driving action collection system, wherein, the driving action data passes through the driving action collection system is gathered and is uploaded to the server, the driving action collection system is vehicle event data recorder or smart mobile phone, the driving action data include: positioning data, a timestamp, speed data, urgent acceleration and deceleration data, lane departure data, license plate image data and front road video data;
the driving behavior acquisition device draws a driving track of the vehicle A according to the positioning data and the timestamp of the vehicle A;
the driving behavior acquisition device judges whether the speed data of the vehicle A is greater than a preset speed threshold value or not;
if the speed data of the vehicle A is larger than a preset speed threshold value, the driving behavior acquisition device generates an overspeed report according to the positioning data and the timestamp of the vehicle A;
the driving behavior acquisition device calculates the relative distance between the vehicle A and the front vehicle according to the size of the license plate of the front vehicle in the front road video data of the vehicle A;
the driving behavior acquisition device calculates the predicted collision time of the vehicle A and the front vehicle according to the emergency acceleration and deceleration data, the speed data and the relative distance of the vehicle A;
the driving behavior acquisition device judges whether the predicted collision time is smaller than a preset collision time threshold value or not;
if the predicted collision time is smaller than a preset collision time threshold value, the driving behavior acquisition device generates a front vehicle collision early warning report form according to the positioning data and the timestamp of the vehicle A;
the driving behavior acquisition device identifies a lane line in the front video data of the A vehicle;
the driving behavior acquisition device calculates the distance of the center of the vehicle A deviating from the lane line;
the driving behavior acquisition device judges whether the distance is greater than a preset lane departure distance threshold value or not; if the distance is larger than a preset lane departure distance threshold value, the driving behavior acquisition device generates a lane departure early warning report form according to the positioning data and the timestamp of the vehicle A;
the method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A or not;
if the license plate of the vehicle A exists in the license plate image data, the license plate of the vehicle A is uploaded to a server by a vehicle B, a.
The server draws the driving track of the vehicle A according to the positioning data and the time stamp after the positioning point de-duplication processing;
the method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A or not;
if the license plate image data contains the license plate of the vehicle A, the license plate of the vehicle A is uploaded to a server by the vehicle B, and the server calculates the relative speed of the vehicle A to the vehicle B according to the size change data of the license plate of the vehicle A in the front road video data uploaded by the vehicle B;
the server calculates the speed of the vehicle A according to the speed data and the time stamp of the vehicle B and the relative speed;
the server judges whether the speed of the vehicle A is greater than a preset speed threshold value or not;
if the speed of the vehicle A is greater than a preset speed threshold value, the server generates an overspeed report about the vehicle A according to the speed of the vehicle A;
the method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A and the license plate of the adjacent vehicle near the vehicle A in the same image;
if the license plate of the vehicle A and the license plate of the adjacent vehicle near the vehicle A exist in the same image in the license plate image data, the license plate of the vehicle A and the license plate of the adjacent vehicle are uploaded to a server by a vehicle B, the server calculates the front-back distance between the vehicle A and the adjacent vehicle according to the size of the license plate of the vehicle A and the size of the license plate of the adjacent vehicle, and calculates the relative position between the vehicle A and the adjacent vehicle according to the front-back distance and the left-right distance between the vehicle A and the adjacent vehicle;
the server judges whether the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value or not according to the relative position;
if the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value, the server generates a lane-changing collision early warning report form about the vehicle A according to positioning data and a timestamp uploaded by the vehicle B;
the method further comprises the following steps:
after the vehicle A is started, under the condition that the vehicle A is not provided with a driving behavior acquisition device, the server receives the license plate number of the vehicle A to be inquired;
the server identifies the license plate number of the vehicle A in the license plate image data uploaded by the vehicles except the vehicle A;
the server judges whether the license plate image data contains the license plate of the vehicle A or not;
if the license plate image data contains the license plate of the vehicle A, the license plate of the vehicle A is uploaded to a server by the vehicle B, and the server identifies a lane line in the front road video data uploaded by the vehicle B;
the server calculates the relative position of the license plate of the vehicle A and the lane line in the front road video data uploaded by the vehicle B;
the server judges whether the license plate of the vehicle A is superposed with the abscissa of the lane line or not according to the relative position;
if the license plate of the vehicle A is superposed with the abscissa of the lane line, the server generates a line pressing early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B;
if the license plate of the vehicle A does not coincide with the abscissa of the lane line, the server judges whether the distance between the license plate of the vehicle A and the abscissa of the lane line is smaller than a preset lane departure distance threshold value or not;
if the distance between the license plate of the vehicle A and the horizontal coordinate direction of the lane line is smaller than a preset lane departure distance threshold value;
and the server generates a lane departure early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
2. A driving behavior data acquisition and analysis system, the system comprising: the driving behavior acquisition device is arranged on a vehicle, and the server is communicated with the driving behavior acquisition device;
after A car starts, under A car is provided with driving action collection system's the condition, driving action collection system for obtain the real-time driving action data of A car, wherein, driving action data passes through driving action collection system gathers and uploads to the server, driving action collection system is vehicle event data recorder or smart mobile phone, driving action data include: positioning data, a timestamp, speed data, urgent acceleration and deceleration data, lane departure data, license plate image data and front road video data; drawing a driving track of the vehicle A according to the positioning data and the timestamp of the vehicle A; judging whether the speed data of the vehicle A is greater than a preset speed threshold value or not, and if the speed data of the vehicle A is greater than the preset speed threshold value, generating an overspeed report according to the positioning data and the timestamp of the vehicle A; calculating the relative distance between the A vehicle and the front vehicle according to the size of the license plate of the front vehicle in the front road video data of the A vehicle, calculating the predicted collision time of the A vehicle and the front vehicle according to the rapid acceleration and deceleration data, the speed data and the relative distance of the A vehicle, judging whether the predicted collision time is smaller than a preset collision time threshold value, and generating a front vehicle collision early warning report form according to the positioning data and the timestamp of the A vehicle if the predicted collision time is smaller than the preset collision time threshold value; identifying a lane line in front video data of the vehicle A, calculating the distance of the center of the vehicle A deviating from the lane line, judging whether the distance is greater than a preset lane deviation distance threshold value, and if the distance is greater than the preset lane deviation distance threshold value, generating a lane deviation early warning report form according to positioning data and a timestamp of the vehicle A;
the server is used for receiving the driving behavior data;
after the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving a license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if the license plate number of the vehicle A exists in the license plate image data, uploading the license plate number of the vehicle A to a server by a vehicle B, a.
After the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if so, uploading the license plate number of the vehicle A to a server by the vehicle B, calculating the relative speed of the vehicle A to the vehicle B by the server according to the size change data of the license plate number of the vehicle A in front road video data uploaded by the vehicle B, calculating the speed of the vehicle A according to the speed data and the timestamp of the vehicle B and the relative speed, judging whether the speed of the vehicle A is greater than a preset speed threshold value, and if so, generating an overspeed report about the vehicle A by the server according to the speed of the vehicle A;
after the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A and the license plate of an adjacent vehicle near the vehicle A exist in the same image or not in the license plate image data, if so, uploading the license plate number of the vehicle A and the license plate of the adjacent vehicle near the vehicle A to a server by a vehicle B, calculating the front-back distance between the vehicle A and the adjacent vehicle according to the size of the license plate number of the vehicle A and the license plate of the adjacent vehicle, calculating the relative position between the vehicle A and the adjacent vehicle according to the front-back distance and the left-right distance between the vehicle A and the adjacent vehicle, judging whether the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value according to the relative position, if the distance between the vehicle A and the adjacent vehicle is smaller than a preset lane-changing collision distance threshold value, generating a lane-changing collision early warning report form about the vehicle A according to the positioning data and the timestamp uploaded by the vehicle B;
after the A car starts, under the condition that the A car is not provided with a driving behavior acquisition device, the server is also used for:
receiving the license plate number of a vehicle A to be inquired, identifying the license plate number of the vehicle A in license plate image data uploaded by vehicles except the vehicle A, judging whether the license plate number of the vehicle A exists in the license plate image data, if so, uploading the license plate number of the vehicle A to a server by the vehicle B, identifying a lane line in front road video data uploaded by the vehicle B, calculating the relative position of the license plate number of the vehicle A and the lane line in the front road video data uploaded by the vehicle B, judging whether the horizontal coordinates of the license plate number of the vehicle A and the lane line coincide according to the relative position, if so, generating a line pressing pre-warning report about the vehicle A according to positioning data and a time stamp of the vehicle B, if not, judging whether the distance between the license plate number of the vehicle A and the horizontal coordinates of the lane line is smaller than a preset lane deviation distance threshold value, and if the distance between the license plate of the vehicle A and the horizontal coordinate direction of the lane line is smaller than a preset lane departure distance threshold, generating a lane departure early warning report form about the vehicle A according to the positioning data and the timestamp of the vehicle B.
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