CN110751751A - Driving track recording method - Google Patents
Driving track recording method Download PDFInfo
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- CN110751751A CN110751751A CN201910953527.9A CN201910953527A CN110751751A CN 110751751 A CN110751751 A CN 110751751A CN 201910953527 A CN201910953527 A CN 201910953527A CN 110751751 A CN110751751 A CN 110751751A
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- vehicle
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- key node
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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
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
Abstract
The invention discloses a method for recording a driving track, which presets a corresponding threshold value according to the size and the direction of the driving speed of a vehicle, when the magnitude and the direction of the vehicle running speed reach preset threshold values, the vehicle running speed is determined as key nodes, the GPS records the position data of each key node, a straight line segment between each key node is drawn to be used as a motion track of the vehicle behavior, the travel track of the whole vehicle is described by key points, high-density GPS data storage is replaced, the data volume needing to be accessed is greatly reduced, IO (input/output) overhead is reduced, the waiting time for drawing the whole GPS track is reduced, huge space required to be consumed by a server is reduced, therefore, the system can effectively help a fleet manager to intuitively manage the fleet, analyze the behaviors of all vehicles more intuitively, quickly screen unsafe behaviors of drivers and help the fleet manager to know all key nodes on a logistics chain.
Description
Technical Field
The invention relates to the technical field of vehicle track recording, in particular to a driving track recording method.
Background
In an internet of vehicles system, it is often necessary to plot the vehicle trajectory and monitor or count the driver's behavior. Including, but not limited to: first, the total mileage traveled by the vehicle in a certain area is counted. Secondly, the total mileage of the vehicle in a certain area in low speed driving is counted. Thirdly, counting the total time of the vehicle running in a certain area. Fourthly, checking the video of the driver driving, judging whether the video exceeds the range of the electronic fence (drives to the area which does not drive), and counting. Fifth, dangerous behavior of the driver during driving (such as excessive turning speed) is checked. Sixth, during the analysis of the logistics, there are mainly short-term stops at the loading and unloading sites and long-term stops.
In the prior art, a scheme of GPS full data recording is generally adopted (all data is uploaded and stored into a database). However, this brings about the following problems: first, the amount of data submitted is large, consuming a large amount of traffic. Second, the server needs to consume a huge amount of space to store these structured data. Third, in the case of complex conditions, it is difficult to efficiently retrieve the original data. Fourth, when the trace is drawn, a large amount of data needs to be read. Fifth, if the post-processing includes some immediate analysis, a large amount of data needs to be read out from the massive amount of data and recalculated, which is often not feasible. Because of the excessive IO and the very long wait time required for computation.
Disclosure of Invention
The invention aims to provide a driving track recording method so as to solve the problem that the current GPS full data can not effectively help a fleet manager to retrieve GPS track data to intuitively manage a fleet because the vehicle track is recorded by the GPS full data.
The invention relates to a driving track recording method, which comprises the following steps:
presetting a corresponding threshold value according to the magnitude and the direction of the running speed of the vehicle;
when the magnitude and the direction of the vehicle running speed reach preset threshold values, determining the vehicle running speed as a key node;
and the GPS records the position data of each key node, and the straight line segments among the key nodes are drawn to be used as the motion trail of the vehicle behavior.
The method for recording the driving track comprises the steps of presetting a corresponding threshold value according to the magnitude and the direction of the driving speed of a vehicle, when the magnitude and the direction of the vehicle running speed reach preset threshold values, the vehicle running speed is determined as key nodes, the GPS records the position data of each key node, a straight line segment between each key node is drawn to be used as a motion track of the vehicle behavior, the travel track of the whole vehicle is described by key points, high-density GPS data storage is replaced, the data volume needing to be accessed is greatly reduced, IO (input/output) overhead is reduced, the waiting time for drawing the whole GPS track is reduced, huge space required to be consumed by a server is reduced, therefore, the method effectively helps a fleet manager to call GPS track data to intuitively manage the fleet, more intuitively analyzes the behaviors of all vehicles, quickly screens unsafe behaviors of drivers, and helps the fleet manager to know all key nodes on a logistics chain.
Drawings
FIG. 1 is a flow chart of a method for recording a driving trace according to the present invention;
FIG. 2 is a schematic diagram of a vehicle motion trajectory drawn by GPS trajectory data between key nodes according to the present invention;
FIG. 3 is a schematic diagram of the key node screening and filtering of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As shown in fig. 1, a method for recording a driving track includes the following steps:
presetting a corresponding threshold value according to the magnitude and the direction of the running speed of the vehicle;
when the magnitude and the direction of the vehicle running speed reach preset threshold values, determining the vehicle running speed as a key node;
and the GPS records the position data of each key node, and the straight line segments among the key nodes are drawn to be used as the motion trail of the vehicle behavior.
The method comprises the steps of presetting corresponding threshold values according to the driving speed and the driving direction of a vehicle, determining the driving speed and the driving direction of the vehicle as key nodes when the driving speed and the driving direction of the vehicle reach the preset threshold values, recording position data of the key nodes by a GPS, describing a linear line segment between the key nodes as a motion track of a vehicle behavior, describing a travel track of the whole vehicle by the key points, replacing high-density GPS data storage, greatly reducing the data volume needing to be accessed, reducing IO (input/output) overhead, reducing waiting time for drawing the whole GPS track, and reducing huge space consumption required by a server, thereby effectively helping a fleet manager to take the GPS track data to intuitively manage a fleet, more intuitively analyzing behaviors of all vehicles, quickly screening unsafe behaviors of a driver, and helping the fleet manager to know all key nodes on a logistics chain.
The key nodes comprise a key node at which the vehicle starts to move, a key node at which the driving direction of the vehicle is stabilized, a key node at which the driving direction starts to change, and a key node at which the vehicle stops running. And recording the next key node if the distance traveled by the vehicle exceeds a preset threshold and the travel time exceeds a preset threshold at the same time from the key node of the last vehicle travel. The vehicle behavior state includes a state during which the vehicle starts, a state during which the vehicle is running stably, a state during which the vehicle turns, and a state in which the vehicle is stationary.
As shown in fig. 2, when the vehicle behavior state is a starting state, the threshold of the speed of the vehicle being zero indicates that the vehicle starts moving to determine a key node Start, the threshold of the speed direction after the vehicle finishes starting stably determines a key node Stable within a period of time, and a trajectory record between the key node Start as a starting point and the key node Stable as an ending point is used as trajectory data of the GPS to draw the movement trajectory of the vehicle as a line segment 1 in fig. 2; when the vehicle behavior state is a Stable operation process state, determining a key node Turn when the change of the vehicle speed direction exceeds a preset threshold value, and drawing a motion track of the vehicle, such as a line segment 2 in FIG. 2, by taking a track record between a starting point of the key node Stable and an end point of the key node Turn as track data of a GPS; when the vehicle behavior state is a turning process state, the threshold value of the vehicle speed direction stably determines a key node Stable within a period of time, and a track record between the key node Turn as a starting point and the key node Stable as an end point is used as track data of a GPS (global positioning system) to draw a motion track of the vehicle, such as a line segment 3 in FIG. 2; when the vehicle behavior state is a static state, determining a key node Stop when the vehicle speed is stably lower than a preset threshold value in a period of time, drawing a motion track of the vehicle as a line segment 4 in fig. 2 by taking a track record between a starting point of the key node Stable and an end point of the key node Stop as track data of a GPS (global positioning system), wherein a dotted line 5 in fig. 2 represents the situation of turning of the vehicle, and the GPS records the essential position data of the key node as the position data of the key node Turn and the key node Stable, and draws a straight line segment between the key node Turn and the key node Stable as the motion track of the vehicle behavior. The scheme that key points replace GPS intensive data points is formed, the data volume needing to be accessed is greatly reduced, IO (input output) overhead is reduced, the waiting time of overall drawing is reduced, the problem of excessive data stream uploading is solved at an equipment end, the problem of excessive data storage is solved at a server end, excessive data interaction (excessive IO) between a data visitor and a database is optimized to the maximum extent to accelerate the response speed of a data reading and analyzing process, and instant response is realized, so that the UI drawing process is reduced to the maximum extent, and the drawing of pixel points is facilitated.
Even if GPS track segmentation is carried out through key nodes, only the key nodes are recorded; when the key nodes are drawn on a large scale (such as provincial map and national map), the number of the key nodes may still be large. In order to analyze the data quantity required, the formed distance (starting point and end point, parameter dist) parameter of each section can be screened, only the travel section with the length exceeding a certain length is displayed or analyzed, namely, a turning travel and a corresponding key node which do not meet the requirement of the vehicle travel distance are additionally filtered between the key node in the vehicle behavior process determined according to the threshold value and the track data which records the vehicle behavior state track between the key node and the key node as the GPS, and meanwhile, the straight travel for turning when the straight travel distance is too short and the related key node are filtered. As shown in fig. 3, in the map with a small scale, the dashed box area cannot be displayed, and we can filter it at the database level by the above method, so as to reduce the output of the trajectory data of the GPS. Therefore, excessive data interaction (excessive IO) between the data visitor and the database is optimized to the maximum extent, the response speed of the data reading and analyzing process is increased, instant response is realized, and therefore the UI drawing process is reduced to the maximum extent, and the drawing of pixel points is facilitated.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (5)
1. A method for recording a driving track is characterized by comprising the following steps:
presetting a corresponding threshold value according to the magnitude and the direction of the running speed of the vehicle;
when the magnitude and the direction of the vehicle running speed reach preset threshold values, determining the vehicle running speed as a key node;
and the GPS records the position data of each key node, and the straight line segments among the key nodes are drawn to be used as the motion trail of the vehicle behavior.
2. The method as claimed in claim 1, wherein determining the vehicle as the key node when the magnitude and direction of the vehicle speed reach the preset threshold comprises: and recording the next key node if the distance traveled by the vehicle exceeds a preset threshold and the travel time exceeds a preset threshold at the same time from the key node of the last vehicle travel.
3. The driving trajectory recording method according to any one of claims 1 to 2, wherein the key nodes include a key node at which the vehicle starts moving, a key node at which the vehicle driving direction has stabilized, a key node at which the driving direction starts changing, and a key node at which the vehicle stops running.
4. The method according to claim 1, wherein the vehicle behavior state comprises a state during starting of the vehicle, a state during steady running of the vehicle, a state during turning of the vehicle, and a state during which the vehicle is stationary.
5. The method as claimed in claim 1, wherein a turning course and corresponding key nodes for filtering out the distance that the vehicle travels and not meeting the requirement are added between the step of determining the key nodes in the vehicle behavior process according to the threshold and the step of recording the vehicle behavior state track between the key nodes as the track data of the GPS, and meanwhile, a straight course for turning when the straight distance is too short and related key nodes are filtered out.
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| CN201910953527.9A CN110751751A (en) | 2019-10-09 | 2019-10-09 | Driving track recording method |
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| CN201910953527.9A CN110751751A (en) | 2019-10-09 | 2019-10-09 | Driving track recording method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111524253A (en) * | 2020-05-09 | 2020-08-11 | 德银天下投资控股有限公司 | Driving recording method, driving recording system, computer device and storage medium |
| CN112240770A (en) * | 2020-10-15 | 2021-01-19 | 浙江欣奕华智能科技有限公司 | Method, device and terminal for generating robot motion trail |
| CN113593397A (en) * | 2021-08-18 | 2021-11-02 | 哈尔滨海能达科技有限公司 | Historical track data loading method, device and system |
| CN115733867A (en) * | 2022-12-29 | 2023-03-03 | 阿维塔科技(重庆)有限公司 | Vehicle-mounted GPS data uploading method, system and equipment |
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Application publication date: 20200204 |