CN114140300A - Method, device, storage medium and terminal for identifying vehicle stop points based on GPS data - Google Patents
Method, device, storage medium and terminal for identifying vehicle stop points based on GPS data Download PDFInfo
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- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
Abstract
The invention relates to a method, a device, a storage medium and a terminal for identifying vehicle stop points based on GPS data, wherein the method comprises the following steps: acquiring vehicle real-time position data through a vehicle-mounted positioning terminal, and storing the vehicle real-time position data; obtaining historical running track point data of the vehicle from the stored real-time position data of the vehicle; filtering historical running track point data; identifying a parking starting point of historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points; from the parking start point, a parking end point and a parking period of the vehicle are identified. The invention can accurately identify the vehicle stop points; the parking of the standard track points of the vehicle can be recognized, and the parking of the off-line state of the vehicle after parking can be recognized.
Description
Technical Field
The invention relates to the technical field of data mining, in particular to a method, a device, a storage medium and a terminal for identifying vehicle stop points based on GPS data.
Background
In the field of modern traffic transportation statistics, freight logistics enterprises use display devices to identify vehicle stopping points for monitoring the number of times and places of vehicle stops, so as to achieve legal transportation of freight vehicles.
In the prior art, more accurate analysis data can be obtained through more accurate extraction of data stop points, and reliable decision analysis data can be provided for traffic managers conveniently and subsequently. However, the method for identifying the freight car stop used in the prior art does not provide accurate stop data.
Therefore, the invention provides a method, a device, a storage medium and a terminal for identifying vehicle stop points based on GPS data, which can accurately identify the stop points to obtain accurate data analysis and provide reliable decision analysis data for traffic managers.
Disclosure of Invention
The embodiment of the application provides a method, a device, a storage medium and a terminal for identifying vehicle stop points based on GPS data. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, an embodiment of the present application provides a method for identifying a vehicle stop point based on GPS data, where the method includes:
acquiring vehicle real-time position data through a vehicle-mounted positioning terminal, and storing the vehicle real-time position data;
obtaining historical running track point data of the vehicle from the stored real-time position data of the vehicle;
filtering historical running track point data;
identifying a parking starting point of historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points;
from the parking start point, a parking end point and a parking period of the vehicle are identified.
Optionally, the storing the real-time position data of the vehicle includes: and storing the real-time position data of the vehicle in a data center through a vehicle identifier.
Optionally, obtaining historical operation track point data of the vehicle from the stored real-time position data of the vehicle includes: and acquiring historical running track point data of the vehicle in a preset period from the stored real-time position data of the vehicle.
Optionally, the filtering processing is performed on the historical running track point data, and includes:
and filtering track points which do not meet preset conditions in the historical running track point data.
Optionally, identifying a parking start point of the historical travel track point data according to the track point speed, the spherical distance between the track points, and the time interval between the track points, includes:
sorting the historical running track point data in a preset time range in a time sequence;
traversing historical running track point data, and identifying a previous track point as a parking starting point when the speeds of the current track point and the previous track point are both smaller than a first preset speed and the spherical distance between the current track point and the previous track point is smaller than a first preset distance; alternatively, the first and second electrodes may be,
when the time interval between the current track point and the previous track point is greater than a first preset time interval and the spherical distance between the current track point and the previous track point is less than a second preset distance, identifying the previous track point as a parking starting point; wherein the first preset distance is smaller than the second preset distance.
Optionally, identifying a parking end point and a parking duration of the vehicle according to the parking start point includes:
after the parking starting point is identified, continuously traversing historical running track point data, and identifying the current track point as a parking ending point when the speed of the current track point is greater than a first preset speed and/or the spherical distance between the current track point and the parking starting point is greater than a third preset distance;
the parking time period is determined according to the time difference between the parking start point and the parking end point.
Optionally, further comprising:
inputting a vehicle number, a preset period and/or parking duration of a vehicle through an intelligent terminal, and displaying parking data and/or historical running track point data of the vehicle through the intelligent terminal; the parking data includes: a stop starting point, a stop ending point and a stop duration;
and carrying out map matching on the parking data and/or the historical running track point data of the vehicle.
In a second aspect, an embodiment of the present application provides an apparatus for identifying a vehicle stop point based on GPS data, the apparatus including:
the position data acquisition module is used for acquiring the real-time position data of the vehicle through the vehicle-mounted positioning terminal and storing the real-time position data of the vehicle;
the historical track acquisition module is used for acquiring historical running track point data of the vehicle from the stored real-time position data of the vehicle;
the track filtering processing module is used for filtering historical running track point data;
the parking start identification module is used for identifying the parking start point of the historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points;
and the parking end identification module is used for identifying the parking end point and the parking time length of the vehicle according to the parking start point.
In a third aspect, embodiments of the present application provide a computer storage medium having stored thereon a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides a terminal, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data comprises the steps of firstly collecting vehicle real-time position data through a vehicle-mounted positioning terminal, storing the vehicle real-time position data, then obtaining historical running track point data of a vehicle from the stored vehicle real-time position data, filtering the historical running track point data, secondly identifying the parking start point of the historical running track point data according to track point speed, the spherical distance between track points and the time interval between the track points, and finally identifying the parking end point and the parking duration of the vehicle according to the parking start point. Because this application obtains the historical operation track point data of vehicle through the real-time position data of vehicle, according to track point speed, the start point of stopping in the historical operation track point data after the spherical distance between the track point and the time interval between the track point come the discernment filtration, under the prerequisite of discerning the start point of stopping, carry out the long affirmation when stopping the end point and stopping, thereby through discerning more accurate stop, obtain more accurate analytic data, be convenient for follow-up for the traffic managers provides reliable decision-making analytic data.
In the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data identifies the previous track point as the parking starting point through the fact that the speeds of the current track point and the previous track point are both smaller than the first preset speed, and the spherical distance between the current track point and the previous track point is smaller than the first preset distance, so that the accurate stop of the vehicle is accurately identified.
In the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data identifies the last track point as the parking starting point of the vehicle by the fact that the time interval between the current track point and the last track point is larger than the first preset time interval and the spherical distance between the current track point and the last track point is smaller than the second preset distance, and therefore parking of the vehicle in an off-line state after parking is accurately identified.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a schematic flow chart diagram illustrating a method for identifying vehicle waypoints based on GPS data according to an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating another method for identifying vehicle waypoints based on GPS data according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an apparatus for identifying a vehicle docking point based on GPS data according to an embodiment of the present application;
fig. 4 is a schematic diagram of a terminal according to an embodiment of the present application.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all 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.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of systems and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In the description of the present invention, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Since the stop points of the vehicles can reflect the characteristics of the running characteristics of the vehicles, the transportation information of the vehicles is often supervised by a method for identifying the stop points of the vehicles in the field of modern freight logistics. However, the prior art has inaccurate identification of the vehicle stopping point, which causes the problems that more accurate analysis data cannot be obtained subsequently, and reliable decision analysis data cannot be provided for a traffic manager. In addition, the problem that only the stopping of the standard track point can be identified exists in the prior art.
According to the method, the device, the storage medium and the terminal for identifying the vehicle stop points based on the GPS data, different stop point identification methods are adopted, and the vehicle stop points can be identified more accurately. The parking of the standard track points of the vehicle can be recognized, and the parking of the off-line state of the vehicle after parking can be recognized.
A method for identifying a parking point of a vehicle based on GPS data according to an embodiment of the present invention will be described in detail with reference to fig. 1 and 2. The method may be implemented in dependence on a computer program operable on a vehicle stop point identification device based on GPS data. The computer program may be integrated into the application or may run as a separate tool-like application.
Referring to fig. 1, a flowchart of a method for identifying a vehicle stop point based on GPS data is provided according to an embodiment of the present application. As shown in fig. 1, the method of the embodiment of the present application may include the following steps:
and S110, acquiring the real-time position data of the vehicle through the vehicle-mounted positioning terminal, and storing the real-time position data of the vehicle. The vehicle-mounted positioning terminal can be positioning equipment such as GPS positioning equipment and Beidou. The vehicle real-time location data may be stored in a storage medium included in the data center; the storage medium has a storage function.
The position data of the vehicle is GPS track point data; the trace point data comprises: the track point coordinate system comprises track point coordinates, track point time, track point speed, track point direction and/or track point altitude and the like, wherein the track point coordinates can be track point longitude and latitude, and the track point time can be track point reporting time.
Wherein, in S110, the storing the real-time position data of the vehicle includes: and storing the real-time position data of the vehicle in a data center through a vehicle identifier. And reporting the real-time collected GPS track point data of the vehicle to a data center for storage through a communication service analysis protocol by GPS positioning equipment on the vehicle. The vehicle-mounted positioning terminal can also collect and report track point data at regular time, for example, the vehicle-mounted positioning terminal collects and reports track point data every 30 seconds.
Each vehicle has a unique vehicle identification, and the vehicle position data is stored and screened through the vehicle identification of the vehicle. The position data of the individual vehicles can be filtered out by means of the vehicle identifications of the vehicles.
And S120, acquiring historical running track point data of the vehicle from the stored real-time position data of the vehicle. The historical operation track point data can be data including vehicle ID, continuous track point longitude and latitude, vehicle track point reporting time and the like. The continuous track points may be a time-stamped sequence of tracks that may be representative of the motion characteristics of the vehicle.
Wherein, S120 includes: and acquiring historical running track point data of the vehicle in a preset period from the stored real-time position data of the vehicle. Acquiring historical running track point data of the vehicle in a preset period from a data center stored offline; the preset period may be a sampling period set in advance by a user, and the sampling period may be 7 days.
In the embodiment of the application, the vehicle ID and the set sampling period can be input through the user terminal, and the user terminal screens out historical running track point data in the vehicle preset period according to the input vehicle ID and the preset period.
S130, filtering historical running track point data; s130 includes:
and filtering track points which do not meet preset conditions in the historical running track point data.
Before the stop point of the vehicle is identified, initial fault-tolerant processing needs to be carried out on historical operation track point data, track points which do not accord with preset conditions are filtered, so that the identification of the stop point of the vehicle can be carried out by using the filtered historical operation track point data, and the identification of the stop start point, the stop end point and the stop time of the vehicle can be carried out, so that the identification of the stop point of the vehicle is more accurate.
In this embodiment of the present application, the trace points of the preset condition include: normal longitude and latitude track points, normal speed track points and normal direction track points. The track points with normal longitude and latitude are track points with longitude and latitude not on the sea or at mountains and the like; the track points with normal speed are track points with the speed not exceeding 200 kilometers; the track points with normal directions are track points with the directions of 0-360 degrees. Namely, when the initial filtering of the historical operation track points is carried out, the track points on the sea or mountains at the latitude, the track points with the speed exceeding 200 kilometers and the track points with the direction not being 0-360 degrees in the historical operation track point data are filtered according to the characteristic indexes of the track points.
The characteristic indexes of the track points comprise indexes such as longitude and latitude, speed and direction.
In this embodiment of the present application, the trace points of the preset condition further include: the average speed is normal, the straight line distance is normal, the time interval is normal, and the number of the trace points is normal. Whether the drift point exists in the historical moving track point data can be judged according to the straight line distance, the time interval, the average speed and the like between the two track points, and when the drift point exists, the drift point is filtered.
In the embodiment of the application, the time interval between two track points can be set to be 30 seconds, and the track point with a normal time interval is the track point with the time interval between the previous track point and the next track point being 30 seconds; and filtering trace points which do not conform to the time interval between the previous trace point and the next trace point in the historical running trace point data and are 30 seconds.
The track point with the normal linear distance can be set as a track point of which the linear distances to the previous track point and the next track point are both between a first linear distance value and a second linear distance value; and filtering the trace points which do not accord with the straight-line distances between the previous trace point and the next trace point and between the first straight-line distance value and the second straight-line distance value in the historical running trace point data. The first straight-line distance value can be the maximum straight-line distance value between two track points when the vehicle normally runs; the second straight-line distance value can be the minimum straight-line distance value between two track points when the vehicle normally runs; for example, when the position data part of the vehicle is not uploaded when the vehicle-mounted positioning terminal is abnormal, and the linear distance between the track point and the previous track point or the next track point exceeds a first linear distance value, the track point is filtered; for another example, when the linear distance between two track points is 0, that is, the linear distance between a track point and the previous track point or the next track point is smaller than the second linear distance value, the track points should be filtered.
The track point with normal average speed can be set as the track point with the average speed of the previous track point and the next track point between the first average speed value and the second average speed value; and filtering the trace points which do not accord with the average speed of the previous trace point and the next trace point in the historical running trace point data and are between the first average speed value and the second average speed value. The first average speed value can be the maximum average speed value between two track points when the vehicle normally runs; the second average speed value can be the minimum average speed value between two track points when the vehicle normally runs; for example, when the average speed between two trace points is 0, that is, the average speed between a trace point and the previous trace point or the next trace point is smaller than the second average speed value, the trace points should be filtered.
The track points with the normal number can be set as the track points within the preset number within fixed time; and filtering the trace points which do not conform to the preset number in the historical running trace point data within a fixed time. For example, be 1 minute at the fixed time, predetermine the number and be 2 track points, when the time interval between two track points is 30 seconds, if there are 3 track points in 1 minute, then should confirm 2 track points that the time interval is 30 seconds as normal track point, 1 track point then is not conform to the track point that belongs to in the predetermined number in the fixed time in addition, should carry out filtering process with it.
And S140, identifying the parking starting point of the historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points.
Specifically, S140 includes:
and S141, sequencing the historical running track point data in the preset time range in time sequence. In S141, the historical operation track point data in the preset time range should be selected from the historical operation track point data in the preset period. When the preset period is 7 days, the preset time range may be 1 day or 2 days, etc.
And S142, traversing the historical running track point data, and identifying the previous track point as a parking starting point when the speeds of the current track point and the previous track point are both smaller than a first preset speed and the spherical distance between the current track point and the previous track point is smaller than a first preset distance. The standard stop point of the vehicle is identified through S142. Traversing the historical running track point data of the vehicle, analyzing and processing each track point data, and caching the previous track point data when processing each track point data.
In the embodiment of the present application, the first preset speed is set to 5km/h, and the first preset distance is set to 10 m. And when the speed of the current track point of the vehicle and the speed of the previous track point are both less than 5km/h, and the spherical distance between the current track point of the vehicle and the previous track point is less than 10m, identifying the previous track point as a parking starting point.
S143, when the time interval between the current track point and the previous track point is larger than a first preset time interval and the spherical distance between the current track point and the previous track point is smaller than a second preset distance, identifying the previous track point as a parking starting point; wherein the first preset distance is smaller than the second preset distance. The offline stop of the vehicle is identified in S143.
In the present embodiment, the first preset time interval is set to 10 minutes, and the second preset distance is set to 200 meters. Under the condition that no GPS track point data is reported in an off-line state when the vehicle is parked, the time interval between the current track point of the vehicle and the previous track point is more than 10 minutes, and when the spherical distance between the current track point of the vehicle and the previous track point is less than 200 meters, the previous track point of the vehicle is identified as the parking starting point.
And S150, identifying the parking end point and the parking time length of the vehicle according to the parking start point. The method and the device for recognizing the parking starting point of the vehicle are used for recognizing the parking ending point of the vehicle on the premise of recognizing the parking starting point of the vehicle, and acquiring the parking time of the vehicle to finish the recognition operation of the parking point of the vehicle.
Specifically, S150 includes:
and S151, after the parking starting point is identified, continuously traversing the historical running track point data, and identifying the current track point as a parking ending point when the speed of the current track point is greater than a first preset speed and/or the spherical distance between the current track point and the parking starting point is greater than a third preset distance. In this way, the first preset speed is set to be 5 km/h; the third preset distance may be set to 50 meters. After the parking starting point of the vehicle is identified, if the track point corresponding to the parking starting point is n, the historical running track point data is continuously traversed from the position of the next track point of the track point n, and when the speed of the current track point is greater than 5km/h or the spherical distance between the current track point and the parking starting point is greater than 50 meters, the current track point is identified as the parking ending point of the vehicle.
The calculation formula of the spherical distance is as follows:
L＝R.arc[cos[cos(α1-α2)cosβ1β2+sinβ1β2]]
wherein, L is the sphere distance, R is the earth radius, two adjacent track points A (alpha 1, beta 1), B (alpha 2, beta 2) in the track sequence, alpha 1 is the longitude in the track point A, beta 1 is the latitude, alpha 2 is the longitude in the track point B, beta 2 is the latitude.
And S152, determining the parking time length according to the time difference between the parking starting point and the parking ending point. After the parking starting point and the parking ending point of the vehicle are identified, the parking time length of the vehicle can be judged according to the parking starting point time of the vehicle and the parking ending point time of the vehicle.
The method described herein, further comprising:
inputting a vehicle number, a preset period and/or parking duration of a vehicle through an intelligent terminal, and displaying parking data and/or historical running track point data of the vehicle through the intelligent terminal; the parking data includes: a stop starting point, a stop ending point and a stop duration; and carrying out map matching on the parking data and/or the historical running track point data of the vehicle.
The intelligent terminal inputs the parking time, so that the parking data meeting the parking time can be obtained, and the intelligent terminal displays and outputs the historical running track point data, the parking starting point, the parking ending point and the parking time. The parking time period may be set to 10 minutes.
The intelligent terminal can be a mobile phone terminal device. The method comprises the steps that the vehicle number, the preset period and the parking duration of a vehicle are dynamically input through a mobile phone terminal device, and the vehicle can be determined according to the vehicle number, so that historical running track point data of the vehicle in the preset period, and the parking starting point, the parking ending point and the parking duration are obtained.
And carrying out map matching on the historical running track point data in the preset period, the parking starting point, the parking ending point and the parking duration, and dynamically rendering.
In the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data comprises the steps of firstly collecting vehicle real-time position data through a vehicle-mounted positioning terminal, storing the vehicle real-time position data, then obtaining historical running track point data of a vehicle from the stored vehicle real-time position data, filtering the historical running track point data, secondly identifying the parking start point of the historical running track point data according to track point speed, the spherical distance between track points and the time interval between the track points, and finally identifying the parking end point and the parking duration of the vehicle according to the parking start point. Because this application obtains the historical operation track point data of vehicle through the real-time position data of vehicle, according to track point speed, the start point of stopping in the historical operation track point data after the spherical distance between the track point and the time interval between the track point come the discernment filtration, under the prerequisite of discerning the start point of stopping, carry out the long affirmation when stopping the end point and stopping, thereby through discerning more accurate stop, obtain more accurate analytic data, be convenient for follow-up for the traffic managers provides reliable decision-making analytic data.
Referring to fig. 2, a flowchart of a method for identifying a vehicle stop point based on GPS data is provided according to an embodiment of the present application. As shown in fig. 2, the method of the embodiment of the present application may include the following steps:
s210, acquiring real-time vehicle position data through a vehicle-mounted positioning terminal, and storing the real-time vehicle position data;
s211, acquiring historical running track point data of the vehicle in a preset period from the stored real-time position data of the vehicle;
s212, filtering track points which do not meet preset conditions in the historical running track point data;
s213, sorting the historical running track point data in the preset time range in time sequence;
s214, traversing historical running track point data, and identifying a previous track point as a parking starting point when the speeds of the current track point and the previous track point are both smaller than a first preset speed and the spherical distance between the current track point and the previous track point is smaller than a first preset distance; alternatively, the first and second electrodes may be,
when the time interval between the current track point and the previous track point is greater than a first preset time interval and the spherical distance between the current track point and the previous track point is less than a second preset distance, identifying the previous track point as a parking starting point; wherein the first preset distance is smaller than the second preset distance;
s215, after the parking starting point is identified, continuously traversing the historical running track point data, and identifying the current track point as a parking ending point when the speed of the current track point is greater than a first preset speed and/or the spherical distance between the current track point and the parking starting point is greater than a third preset distance;
s216, determining the parking duration according to the time difference between the parking starting point and the parking ending point;
s217, inputting the vehicle number, the preset period and/or the parking duration of the vehicle through the intelligent terminal, and displaying the parking data and/or the historical running track point data of the vehicle through the intelligent terminal; the parking data includes: a stop starting point, a stop ending point and a stop duration;
and S218, performing map matching on the parking data and/or the historical running track point data of the vehicle.
In the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data comprises the steps of firstly collecting vehicle real-time position data through a vehicle-mounted positioning terminal, storing the vehicle real-time position data, then obtaining historical running track point data of a vehicle from the stored vehicle real-time position data, filtering the historical running track point data, secondly identifying the parking start point of the historical running track point data according to track point speed, the spherical distance between track points and the time interval between the track points, and finally identifying the parking end point and the parking duration of the vehicle according to the parking start point. Because this application obtains the historical operation track point data of vehicle through the real-time position data of vehicle, according to track point speed, the start point of stopping in the historical operation track point data after the spherical distance between the track point and the time interval between the track point come the discernment filtration, under the prerequisite of discerning the start point of stopping, carry out the long affirmation when stopping the end point and stopping, thereby through discerning more accurate stop, obtain more accurate analytic data, be convenient for follow-up for the traffic managers provides reliable decision-making analytic data.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Referring to fig. 3, a schematic structural diagram of a device for identifying a vehicle stop point based on GPS data according to an exemplary embodiment of the present invention is shown. The device 1 comprises a position data acquisition module 10, a historical track acquisition module 20, a track filtering processing module 30, a parking start identification module 40 and a parking end identification module 50.
The position data acquisition module 10 is used for acquiring vehicle real-time position data through a vehicle-mounted positioning terminal and storing the vehicle real-time position data;
the historical track acquiring module 20 is used for acquiring historical running track point data of the vehicle from the stored real-time position data of the vehicle;
the track filtering processing module 30 is used for filtering historical running track point data;
the parking start identification module 40 is used for identifying the parking start point of the historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points;
and a parking end recognition module 50 for recognizing a parking end point and a parking duration of the vehicle according to the parking start point.
It should be noted that, when the vehicle stop point identification device based on GPS data provided in the above embodiment is used in the method for identifying a vehicle stop point based on GPS data, only the above-mentioned division of the functional modules is taken as an example, and in practical applications, the above-mentioned function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules, so as to complete all or part of the above-mentioned functions. In addition, the vehicle stop point identification device based on the GPS data and the vehicle stop point identification method based on the GPS data provided in the above embodiments belong to the same concept, and details of implementation processes thereof are described in the method embodiments, and are not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data comprises the steps of firstly collecting vehicle real-time position data through a vehicle-mounted positioning terminal, storing the vehicle real-time position data, then obtaining historical running track point data of a vehicle from the stored vehicle real-time position data, filtering the historical running track point data, secondly identifying the parking start point of the historical running track point data according to track point speed, the spherical distance between track points and the time interval between the track points, and finally identifying the parking end point and the parking duration of the vehicle according to the parking start point. Because this application obtains the historical operation track point data of vehicle through the real-time position data of vehicle, according to track point speed, the start point of stopping in the historical operation track point data after the spherical distance between the track point and the time interval between the track point come the discernment filtration, under the prerequisite of discerning the start point of stopping, carry out the long affirmation when stopping the end point and stopping, thereby through discerning more accurate stop, obtain more accurate analytic data, be convenient for follow-up for the traffic managers provides reliable decision-making analytic data.
The present invention also provides a computer readable medium having stored thereon program instructions that, when executed by a processor, implement the method for identifying a vehicle waypoint based on GPS data provided by the various method embodiments described above.
The present invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of identifying a vehicle stopping point based on GPS data of the various method embodiments described above.
Please refer to fig. 4, which provides a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in fig. 4, terminal 1000 can include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 4, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a usability analysis application program of vehicle running trajectory data.
In the terminal 1000 shown in fig. 4, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; and the processor 1001 may be configured to invoke an application stored in the memory 1005 that identifies a vehicle stopping point based on GPS data, and specifically perform the following operations:
acquiring vehicle real-time position data through a vehicle-mounted positioning terminal, and storing the vehicle real-time position data;
obtaining historical running track point data of the vehicle from the stored real-time position data of the vehicle;
filtering historical running track point data;
identifying a parking starting point of historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points;
identifying a parking end point and a parking duration of the vehicle according to the parking start point;
inputting a vehicle number, a preset period and/or parking duration of a vehicle through an intelligent terminal, and displaying parking data and/or historical running track point data of the vehicle through the intelligent terminal; the parking data includes: a stop starting point, a stop ending point and a stop duration;
and carrying out map matching on the parking data and/or the historical running track point data of the vehicle.
In one embodiment, when executing the recognition of the parking start point of the historical travel track point data according to the track point speed, the spherical distance between the track points, and the time interval between the track points, the processor 1001 specifically executes the following operations:
sorting the historical running track point data in a preset time range in a time sequence;
traversing historical running track point data, and identifying a previous track point as a parking starting point when the speeds of the current track point and the previous track point are both smaller than a first preset speed and the spherical distance between the current track point and the previous track point is smaller than a first preset distance; alternatively, the first and second electrodes may be,
when the time interval between the current track point and the previous track point is greater than a first preset time interval and the spherical distance between the current track point and the previous track point is less than a second preset distance, identifying the previous track point as a parking starting point; wherein the first preset distance is smaller than the second preset distance.
In one embodiment, processor 1001, when performing identifying a parking end point and a parking duration of a vehicle from a parking start point, specifically performs the following operations:
after the parking starting point is identified, continuously traversing historical running track point data, and identifying the current track point as a parking ending point when the speed of the current track point is greater than a first preset speed and/or the spherical distance between the current track point and the parking starting point is greater than a third preset distance;
the parking time period is determined according to the time difference between the parking start point and the parking end point.
In the embodiment of the application, the method for identifying the vehicle stop point based on the GPS data comprises the steps of firstly collecting vehicle real-time position data through a vehicle-mounted positioning terminal, storing the vehicle real-time position data, then obtaining historical running track point data of a vehicle from the stored vehicle real-time position data, filtering the historical running track point data, secondly identifying the parking start point of the historical running track point data according to track point speed, the spherical distance between track points and the time interval between the track points, and finally identifying the parking end point and the parking duration of the vehicle according to the parking start point. Because this application obtains the historical operation track point data of vehicle through the real-time position data of vehicle, according to track point speed, the start point of stopping in the historical operation track point data after the spherical distance between the track point and the time interval between the track point come the discernment filtration, under the prerequisite of discerning the start point of stopping, carry out the long affirmation when stopping the end point and stopping, thereby through discerning more accurate stop, obtain more accurate analytic data, be convenient for follow-up for the traffic managers provides reliable decision-making analytic data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can be executed by hardware related to the instructions of the computer program. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (10)
1. A method for identifying vehicle waypoints based on GPS data, comprising the steps of:
acquiring vehicle real-time position data through a vehicle-mounted positioning terminal, and storing the vehicle real-time position data;
obtaining historical operation track point data of the vehicle from the stored real-time position data of the vehicle;
filtering the historical running track point data;
identifying a parking starting point of the historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points;
and identifying a parking end point and a parking time length of the vehicle according to the parking start point.
2. The method of identifying vehicle stopping points according to claim 1, wherein said storing said vehicle real-time location data comprises: and storing the real-time vehicle position data in a data center through a vehicle identifier.
3. The method for identifying vehicle stopping points according to claim 1, wherein the obtaining historical operating trajectory point data of the vehicle from the stored real-time vehicle position data comprises: and acquiring historical running track point data of the vehicle in a preset period from the stored real-time position data of the vehicle.
4. The method for identifying vehicle stopping points according to claim 1, wherein the filtering the historical operating trajectory point data comprises:
and filtering the track points which do not meet the preset conditions in the historical running track point data.
5. The method of identifying vehicle stopping points according to claim 1, wherein identifying a stopping start point of the historical travel track point data from the track point speed, the spherical distance between track points, and the time interval between track points comprises:
sequencing the historical running track point data in a preset time range in a time sequence;
traversing the historical running track point data, and identifying the previous track point as a parking starting point when the speeds of the current track point and the previous track point are both smaller than a first preset speed and the spherical distance between the current track point and the previous track point is smaller than a first preset distance; alternatively, the first and second electrodes may be,
when the time interval between the current track point and the previous track point is greater than a first preset time interval, and the spherical distance between the current track point and the previous track point is less than a second preset distance, identifying the previous track point as the parking starting point; wherein the first preset distance is smaller than the second preset distance.
6. The method of identifying a stopping point of a vehicle according to claim 5, wherein identifying a stopping end point and a stopping time period of the vehicle from the stopping start point comprises:
after the parking starting point is identified, continuously traversing the historical running track point data, and identifying the current track point as a parking ending point when the speed of the current track point is greater than a first preset speed and/or the spherical distance between the current track point and the parking starting point is greater than a third preset distance;
and determining the parking time length according to the time difference between the parking starting point and the parking ending point.
7. The method of identifying a vehicle stop point of claim 1, further comprising:
inputting the vehicle number, the preset period and/or the parking duration of the vehicle through an intelligent terminal, and displaying the parking data and/or the historical running track point data of the vehicle through the intelligent terminal; the parking data includes: the parking start point, the parking end point, and the parking duration;
and carrying out map matching on the parking data of the vehicle and/or the historical running track point data.
8. An apparatus for identifying a vehicle stop point based on GPS data, comprising:
the vehicle-mounted positioning system comprises a position data acquisition module, a position data storage module and a positioning module, wherein the position data acquisition module is used for acquiring vehicle real-time position data through a vehicle-mounted positioning terminal and storing the vehicle real-time position data;
the historical track acquisition module is used for acquiring historical running track point data of the vehicle from the stored real-time position data of the vehicle;
the track filtering processing module is used for filtering the historical running track point data;
the parking start identification module is used for identifying the parking start point of the historical running track point data according to the track point speed, the spherical distance between the track points and the time interval between the track points;
and the parking end identification module is used for identifying the parking end point and the parking duration of the vehicle according to the parking starting point.
9. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to perform the method steps according to any of claims 1-7.
10. A terminal, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1-7.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114863715A (en) * | 2022-05-05 | 2022-08-05 | 一汽解放汽车有限公司 | Parking data determination method and device, electronic equipment and storage medium |
| CN115964545A (en) * | 2023-03-16 | 2023-04-14 | 四川国蓝中天环境科技集团有限公司 | Method for deducing pollution point location based on slag transport vehicle track point |
| CN116027367A (en) * | 2022-08-31 | 2023-04-28 | 荣耀终端有限公司 | Stay point identification method, apparatus, device and storage medium |
| WO2023203391A1 (en) * | 2022-04-21 | 2023-10-26 | Senjam Nongdrenkhomba Singh | A system and a method for monitoring vehicle speed and enforcing an anti-speeding code for minimization of speeding-driven accidents |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2023203391A1 (en) * | 2022-04-21 | 2023-10-26 | Senjam Nongdrenkhomba Singh | A system and a method for monitoring vehicle speed and enforcing an anti-speeding code for minimization of speeding-driven accidents |
| CN114863715A (en) * | 2022-05-05 | 2022-08-05 | 一汽解放汽车有限公司 | Parking data determination method and device, electronic equipment and storage medium |
| CN116027367A (en) * | 2022-08-31 | 2023-04-28 | 荣耀终端有限公司 | Stay point identification method, apparatus, device and storage medium |
| CN116027367B (en) * | 2022-08-31 | 2023-10-20 | 荣耀终端有限公司 | Stay point identification method, apparatus, device and storage medium |
| CN115964545A (en) * | 2023-03-16 | 2023-04-14 | 四川国蓝中天环境科技集团有限公司 | Method for deducing pollution point location based on slag transport vehicle track point |
| CN117392359A (en) * | 2023-12-13 | 2024-01-12 | 中北数科(河北)科技有限公司 | Vehicle navigation data processing method and device and electronic equipment |
| CN117392359B (en) * | 2023-12-13 | 2024-03-15 | 中北数科(河北)科技有限公司 | Vehicle navigation data processing method and device and electronic equipment |
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