CN110826758A - Travel type determination method and device, storage medium and terminal - Google Patents
Travel type determination method and device, storage medium and terminal Download PDFInfo
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Abstract
A method and a device for determining a travel type, a storage medium and a terminal are provided, wherein the method for determining the travel type comprises the following steps: the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed; determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same; and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points. The technical scheme of the invention can accurately determine the user trip mode.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for determining a route type, a storage medium, and a terminal.
Background
With the development of the technology, a user can use the intelligent device to position the user. In addition, when the user goes out, the travel track of the user can be obtained through continuous positioning.
In the prior art, after a user goes out, the number of steps of the user going out can be automatically recorded, and the real-time position of the user can be automatically located and obtained.
However, how to determine the user's travel mode is a technical problem that needs to be solved urgently.
Disclosure of Invention
The invention solves the technical problem of how to determine the user travel mode.
In order to solve the foregoing technical problem, an embodiment of the present invention provides a method for determining a trip type, where the method for determining a trip type includes: the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed; determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same; and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.
Optionally, the track points are acquired according to a preset time interval, and determining a plurality of segment points according to the time interval between adjacent track points includes: and if the time interval between the adjacent track points is greater than the preset time interval, determining that the next track point in the adjacent track points is a segmentation point.
Optionally, the determining the plurality of segment points according to the difference of the instantaneous velocities of the adjacent track points includes: calculating the difference value of the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points, and calculating the ratio of the difference value to the instantaneous speed of the previous track point; and if the ratio reaches a first preset ratio, determining the latter track point as a segmentation point.
Optionally, the method for determining a trip type further includes: counting the distance of each track segment; and recording the distance and the travel type of each track segment by adopting a block chain technology.
Optionally, the determining the stroke type of each track segment according to at least the average speed between the plurality of segment points includes: if the average speed between two adjacent segmentation points is lower than a first preset value, determining that the stroke type of the track segment corresponding to the two adjacent segmentation points is walking; and if the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, determining that the travel type of the track segment is running, wherein the second preset value is greater than the first preset value.
Optionally, the determining the stroke type of each track segment according to at least the average speed between the plurality of segment points includes: if the average speed between two adjacent segmentation points reaches a first preset value, judging whether track sections corresponding to the two adjacent segmentation points coincide with the public transport route or not; and if the track section is coincident with the public transportation route, determining that the travel type of the track section is public transportation.
Optionally, the determining that the travel type of the track segment is public transportation includes: if the track section is overlapped with the subway line and the average speed reaches a third preset value, determining that the travel type of the track section is subway travel, wherein the third preset value is larger than the first preset value; if the track section is overlapped with a bus route, and the ratio of the time of the average speed reaching a fourth preset value to the total duration of the track section is smaller than a first preset threshold value, determining that the travel type of the track section is bus travel, otherwise determining that the travel type of the track section is driving travel, wherein the fourth preset value is larger than the third preset value; and if the track section is coincident with the train route, determining that the travel type of the track section is train travel.
Optionally, the track segment is judged to coincide with the public transportation route in the following manner: determining a starting point and an end point of the track segment and a public transportation route between the starting point and the end point; acquiring the station position in the public transportation route; determining track points and the number of the track points, the distance between which and the station position in the track segment is smaller than a second preset threshold value, and calculating the ratio of the number to the total number of the track points included in the track segment; and if the ratio reaches a second preset ratio, determining that the track segment is coincident with the public transportation route.
Optionally, the determining the stroke type of each track segment according to at least the average speed between the plurality of segment points includes: if the average speed between two adjacent segmentation points reaches a second preset value, and the ratio of the time of the average speed reaching a fifth preset value to the total duration of the track segment is smaller than a second preset threshold value, determining that the travel type of the track segment is riding, otherwise determining that the travel type of the track segment is driving travel, wherein the fifth preset value is larger than the second preset value.
In order to solve the above technical problem, an embodiment of the present invention further discloses a trip type determining device, where the trip type determining device includes: the track data acquisition module is suitable for acquiring track data of a user, wherein the track data comprises a plurality of track points, and each track point has coordinates, time and instantaneous speed; the segmentation point determination module is suitable for determining a plurality of segmentation points according to the time interval between the adjacent track points or the difference of the instantaneous speeds of the adjacent track points, and the travel types of the track points between every two segmentation points are the same; and the stroke type determining module is suitable for determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment refers to a track formed by track points between two adjacent segmentation points.
Optionally, the trace points are acquired according to a preset time interval, and the segmentation point determining module includes: and the first segmentation point determining unit is suitable for determining a later track point in the adjacent track points as a segmentation point when the time interval between the adjacent track points is greater than the preset time interval.
Optionally, the segmentation point determining module includes: the speed difference value calculating unit is suitable for calculating the difference value between the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points and calculating the ratio of the difference value to the instantaneous speed of the previous track point; and the second segmentation point determining unit is suitable for determining the subsequent track point as a segmentation point when the ratio reaches a first preset ratio.
Optionally, the trip type determining apparatus further includes: the distance counting module is suitable for counting the distance of each track section; and the block chain storage module is suitable for recording the distance and the travel type of each track segment by adopting a block chain technology.
Optionally, the trip type determining module includes: the walking determination unit is suitable for determining that the stroke type of the track segment corresponding to the two adjacent segmentation points is walking when the average speed between the two adjacent segmentation points is lower than a first preset value; and the running determining unit is suitable for determining that the type of the travel of the track segment is running when the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, wherein the second preset value is greater than the first preset value.
Optionally, the trip type determining module includes: the route coincidence determination unit is suitable for determining whether the track sections corresponding to the two adjacent segmentation points coincide with the public transport route or not when the average speed between the two adjacent segmentation points reaches a first preset value; and the public traffic determining unit is suitable for determining that the travel type of the track section is public traffic when the track section is coincident with the public traffic route.
Optionally, the public transportation determining unit includes: the subway determining subunit is suitable for determining that the travel type of the track segment is subway trip when the track segment is overlapped with a subway line and the average speed reaches a third preset value, wherein the third preset value is larger than the first preset value; the bus determining subunit is suitable for determining that the travel type of the track section is bus travel when the track section is overlapped with a bus route and the ratio of the time when the average speed reaches a fourth preset value to the total time length of the track section is less than a first preset threshold value; the driving determining subunit is adapted to determine that the travel type of the track segment is driving travel when the track segment coincides with a bus route and the ratio of the time when the average speed reaches a fourth preset value to the total time length of the track segment reaches a first preset threshold value, wherein the fourth preset value is greater than the third preset value; and the train determining subunit is suitable for determining that the travel type of the track section is train trip when the track section is coincident with the train route.
Optionally, the route coincidence determination unit determines that the trajectory segment coincides with the public transportation route by: determining a starting point and an end point of the track segment and a public transportation route between the starting point and the end point; acquiring the station position in the public transportation route; determining track points and the number of the track points, the distance between which and the station position in the track segment is smaller than a second preset threshold value, and calculating the ratio of the number to the total number of the track points included in the track segment; and if the ratio reaches a second preset ratio, determining that the track segment is coincident with the public transportation route.
Optionally, the trip type determining module includes: the riding determination unit is suitable for determining that the stroke type of the track segment is riding when the average speed between two adjacent segmentation points reaches a second preset value and the ratio of the time of the average speed reaching a fifth preset value to the total time length of the track segment is less than a second preset threshold value; and the driving determining unit is suitable for determining that the travel type of the track segment is driving travel when the average speed between two adjacent segmentation points reaches a second preset value and the ratio of the time of the average speed reaching a fifth preset value to the total time length of the track segment is less than a second preset threshold value, wherein the fifth preset value is greater than the second preset value.
The embodiment of the invention also discloses a storage medium, wherein a computer instruction is stored on the storage medium, and the steps of the travel type determining method are executed when the computer instruction runs.
The embodiment of the invention also discloses a terminal which comprises a memory and a processor, wherein the memory is stored with a computer instruction capable of running on the processor, and the processor executes the step of the travel type determination method when running the computer instruction.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the technical scheme of the invention includes that track data of a user are obtained, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed; determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same; and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points. According to the technical scheme, by analyzing the track data of the user, the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points is obtained, and the segmentation points of different travel types can be determined and distinguished; the travel type of the track segment can be determined at least through the average speed between the segmentation points, and the travel type can represent the travel mode of the user, so that reference can be provided for subsequent travel and other behaviors of the user.
Furthermore, the track points are acquired according to a preset time interval, and if the time interval between adjacent track points is greater than the preset time interval, the next track point in the adjacent track points is determined to be a segmentation point. In the technical scheme of the invention, when the network is interrupted or the signal is poor, the trace points cannot be acquired; under the condition, the newly collected track points, namely the later track point, can be used as the segmentation points to divide the travel of the user in the time interval, so that the accuracy of travel type judgment is improved, and the accuracy of travel mode judgment of the user is further improved.
Further, calculating a difference value between the instantaneous speed of a next track point in the adjacent track points and the instantaneous speed of a previous track point in the adjacent track points, and calculating a ratio of the difference value to the instantaneous speed of the previous track point; and if the ratio reaches a first preset ratio, determining the latter track point as a segmentation point. In the technical scheme of the invention, if the instantaneous speed change of the next track point exceeds the instantaneous speed change of the previous track point by a first preset ratio, for example, 50%, the change indicates that the vehicle taken by the user at the next track point may be braked or started, or the user switches the vehicle at the next track point, so that the next track point can be used as a segmentation point and used as the starting point of the next track segment, thereby ensuring the accuracy of track segment division and further improving the accuracy of user trip mode judgment.
Drawings
FIG. 1 is a flow chart of a trip type determination method according to an embodiment of the present invention;
FIG. 2 is a flowchart of one embodiment of step S102 shown in FIG. 1;
FIG. 3 is a flowchart of another embodiment of step S102 shown in FIG. 1
FIG. 4 is a flowchart of one embodiment of step S103 shown in FIG. 1;
FIG. 5 is a flowchart of another embodiment of step S103 shown in FIG. 1;
FIG. 6 is a flowchart of yet another embodiment of step S103 shown in FIG. 1;
FIG. 7 is a diagram illustrating an exemplary application scenario of the present invention;
fig. 8 is a schematic structural diagram of a trip type determination apparatus according to an embodiment of the present invention;
FIG. 9 is a block diagram illustrating one embodiment of the segmentation point determination module 502 of FIG. 8;
fig. 10 is a schematic structural diagram of an embodiment of the trip type determining module 503 shown in fig. 8.
Detailed Description
As described in the background art, how to determine the user's travel mode is an urgent technical problem to be solved.
According to the technical scheme, by analyzing the track data of the user, the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points is obtained, and the segmentation points of different travel types can be determined and distinguished; the travel type of the track segment can be determined at least through the average speed between the segmentation points, and the travel type can represent the travel mode of the user, so that reference can be provided for subsequent travel and other behaviors of the user.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flowchart of a method for determining a trip type according to an embodiment of the present invention.
The trip type determination method shown in fig. 1 may include the steps of:
step S101: the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed;
step S102: determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same;
step S103: and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.
In a specific implementation, the trajectory data of the user may be positioning data of the user. The trajectory data may be acquired using any practicable positioning technique, such as GPS positioning, Beidou satellite positioning, base station positioning, and the like. The trajectory data includes a plurality of trajectory points, which may have coordinates, time, and instantaneous speed. In particular, the coordinates of a track point may represent the user's location, the time of the track point represents the time the user is at the location, and the instantaneous velocity of the track point represents the instantaneous velocity of the user at the location.
Further, trajectory data of a user over a period of time may form a trajectory of the user over the period of time. The trace points may be acquired periodically.
Specifically, trajectory data of the user can be acquired in real time. The trajectory data of the user may also be acquired periodically. For example, the trajectory data of the user during the previous day is acquired at the zero point of each day.
In specific application, a user carries the intelligent device when going out, and the intelligent device can collect and record the trajectory data of the user.
After the trajectory data of the user is acquired, in a specific implementation of step S102, a plurality of segmentation points may be determined. Since the user may have multiple travel modes in the same trajectory, the user trajectory needs to be segmented and then the trip type needs to be determined. Here, the plurality of segmentation points may divide the trajectory of the user over a period of time into a plurality of trajectory segments. The type of travel for each track segment is consistent.
Specifically, because the speeds corresponding to different travel types are different, a plurality of segmentation points can be determined according to the difference of the instantaneous speeds of adjacent track points; alternatively, since the time interval of the acquired trace points is extended or shortened due to the conversion of the stroke type, a plurality of segment points can be determined according to the time interval between adjacent trace points.
The speeds corresponding to different travel types are different, and further in the specific implementation of step S103, the travel type of each track segment may be determined according to the average speed between the plurality of segment points. Specifically, the average velocity between two adjacent segment points may be an average of the instantaneous velocities of the trace points between the two adjacent segment points. It can also be calculated in the following way: determining the distance between two adjacent segmentation points and the time difference between the two adjacent segmentation points, and calculating the ratio of the distance to the time difference.
Thus, the travel types of the track segments in the user track are determined, and therefore the travel modes adopted by the user in the track can be determined. For example, the types of trips the user took on the previous day are walking, subway, walking, public transit, driving, respectively.
In a preferred embodiment of the present invention, the method for determining a trip type as shown in FIG. 1 may further include the steps of counting distances of each track segment; and recording the distance of each track segment and the travel type.
Further, the distance and the run length type of each track segment are recorded by adopting a block chain technology.
In specific implementation, the distance of the track segment and the travel type belong to personal behaviors of the user, and the safety requirement is high. The existing user track is directly stored in the APP of the intelligent device, an APP operator has the authority to change the track of the user, and the safety is low.
In the embodiment of the invention, as the block chain technology adopts a decentralized storage mode, the safety of the recorded data, namely the distance of each track segment and the type of the travel can be ensured, and the track segment is prevented from being tampered.
In a specific embodiment of the present invention, the trace points are acquired according to a preset time interval. Referring to fig. 2, step S102 in fig. 1 may include the following steps: step S201: and if the time interval between the adjacent track points is greater than the preset time interval, determining that the next track point in the adjacent track points is a segmentation point.
In this embodiment, because the track points are collected according to the preset time interval, the time interval between adjacent track points is the preset time interval. And if the time interval between the adjacent track points is larger than the preset time interval, indicating that abnormity occurs when the adjacent track points are collected. An abnormal situation may be a network signal failure or a poor signal, in which case it may indicate a change in the type of trip. Therefore, the latter track point in the adjacent track points can be taken as a segmentation point. The type of travel of the segmentation point can be determined and confirmed in subsequent steps.
That is, when the network is interrupted or the signal is poor, the trace point cannot be collected; under the condition, the newly collected track points, namely the later track point, can be used as the segmentation points to divide the travel of the user in the time interval, so that the accuracy of travel type judgment is improved, and the accuracy of travel mode judgment of the user is further improved.
In a specific embodiment of the present invention, the trace points are acquired according to a preset time interval. Referring to fig. 3, step S102 in fig. 1 may include the following steps:
step S202: calculating the difference value of the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points, and calculating the ratio of the difference value to the instantaneous speed of the previous track point;
step S203: and if the ratio reaches a first preset ratio, determining the latter track point as a segmentation point.
In specific implementation, the difference between the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points is an absolute difference, and the instantaneous speed change of the next track point relative to the previous track point cannot be accurately measured. The ratio of the difference to the instantaneous velocity of the previous trace point can then be calculated to measure the instantaneous velocity change of the latter trace point relative to the previous trace point.
In the embodiment of the invention, if the instantaneous speed change of the next track point is more than the instantaneous speed change of the previous track point by a first preset ratio, for example, 50%, it indicates that the vehicle taken by the user at the next track point may be braked or started, or the user switches the vehicle at the next track point, so that the next track point can be used as a segmentation point and used as the starting point of the next track segment, thereby ensuring the accuracy of dividing the track segment and further improving the accuracy of judging the trip mode of the user.
Further, the track data of the user also includes the step number corresponding to each track point. Specifically, the number of steps corresponding to the track point may be the number of steps that the user walks within a time period from a preset start time to the track point, for example, the preset start time is a zero point of each day; or the number of steps the user walks from the time of the last track point to the time of the current track point.
The number of steps may be obtained using a sensor in a mobile terminal carried by the user.
After determining the plurality of segmentation points, if the difference between the step numbers of the segmentation points in the adjacent track segments is less than the preset average step number, it indicates that the adjacent track segments are of the same stroke type, and the adjacent track segments can be combined into one track segment. The preset average number of steps may be preset, and may be 1600 steps/kilometer (Km), for example.
In a specific embodiment of the present invention, the trace points are acquired according to a preset time interval. Referring to fig. 4, step S103 in fig. 1 may include the following steps:
step S301: if the average speed between two adjacent segmentation points is lower than a first preset value, determining that the stroke type of the track segment corresponding to the two adjacent segmentation points is walking;
step S302: and if the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, determining that the travel type of the track segment is running, wherein the second preset value is greater than the first preset value.
In a specific implementation, the instantaneous speed of the user while walking is low, and the average speed over the entire walking stroke is low. If the average speed between two adjacent segmentation points is lower than a first preset value, determining that the travel type of the track segment corresponding to the two adjacent segmentation points is walking, namely that the travel mode of the user in the track segment is walking.
The instantaneous speed of the user while running is high and greater than the instantaneous speed of the user while walking, the average speed over the entire running stroke has an upper limit, a second preset value. And if the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, determining that the travel type of the track segment is running, namely that the travel mode of the user in the track segment is running.
It can be understood that the first preset value may be selected from 4 kilometers per hour (km/h) to 8km/h, and the second preset value may be selected from 8km/h to 12km/h, and may also be adaptively configured according to a specific application scenario, which is not limited in this embodiment of the present invention. Preferably, the first preset value is 6km/h and the second preset value is 10 km/h.
In another embodiment of the present invention, the trace points are collected according to a preset time interval. Referring to fig. 5, step S103 in fig. 1 may include the following steps:
step S303: if the average speed between two adjacent segmentation points reaches a first preset value, judging whether track sections corresponding to the two adjacent segmentation points coincide with the public transport route or not;
step S304: and if the track section is coincident with the public transportation route, determining that the travel type of the track section is public transportation.
In a specific embodiment, since the public transportation means needs to stop at a plurality of stations while traveling, when the user is traveling in public transportation, the average speed of the user over the entire trip is low but higher than the average speed of the user while walking. In addition, public transportation has a fixed travel route. Therefore, when determining that the travel type is public transportation, two conditions, namely the average speed between two adjacent segmentation points and whether the track segment coincides with the public transportation route, need to be considered. And determining the travel type of the track segment as public transportation under the condition that the two conditions are met.
Further, step S304 may specifically include the following steps: if the track section is overlapped with the subway line and the average speed reaches a third preset value, determining that the travel type of the track section is subway travel, wherein the third preset value is larger than the first preset value; if the track section is overlapped with a bus route, and the ratio of the time of the average speed reaching a fourth preset value to the total duration of the track section is smaller than a first preset threshold value, determining that the travel type of the track section is bus travel, otherwise determining that the travel type of the track section is driving travel, wherein the fourth preset value is larger than the third preset value; and if the track section is coincident with the train route, determining that the travel type of the track section is train travel.
In specific implementation, the average running speed of the subway is higher than the average running speed of the user during running, so that when a track section is overlapped with a subway line and the average speed reaches a third preset value, the type of the travel of the track section is determined to be subway travel.
When the bus runs, the instantaneous speed difference is large, for example, the instantaneous speed is small when starting, and the maximum speed can reach 100km/h when the bus runs. When the travel type is determined to be a bus trip, on the basis that the average speed reaches the first preset value, the time that the average speed reaches the fourth preset value in the track section, that is, the ratio of the time that the average speed reaches the fourth preset value to the total time length of the track section, needs to be considered. In particular, the first preset threshold may be selected from 8% -12%, preferably, the first preset threshold may be 10%.
When the user does not need to stop at a station during driving, the time length of the instant speed in the whole travel is longer, and therefore on the basis that the average speed reaches the first preset value, when the ratio of the time of the average speed reaching the fourth preset value to the total time length of the track segment reaches the first preset threshold value, the travel type can be determined as driving travel.
Compared with other public transportation routes, the train route is special, the train track is specially designed for the train, and other transportation tools cannot be used. Therefore, when the travel type is determined to be train travel, on the basis that the average speed reaches the first preset value, only the fact that whether the track section is overlapped with the train route or not needs to be compared.
In particular, the third preset value can be selected from the range from 28km/h to 32km/h, preferably said third preset value is 30 km/h. The fourth preset value can be selected from 38km/h to 42km/h, preferably said fourth preset value is 40 km/h.
If the average speed between two adjacent segmentation points reaches a second preset value, and the ratio of the time of the average speed reaching a fifth preset value to the total duration of the track segment is smaller than a second preset threshold value, determining that the travel type of the track segment is riding, otherwise determining that the travel type of the track segment is driving travel, wherein the fifth preset value is larger than the second preset value.
Further, it may be determined that the trajectory segment coincides with a public transportation route by: determining a starting point and an end point of the track segment and a public transportation route between the starting point and the end point; acquiring the station position in the public transportation route; determining track points and the number of the track points, the distance between which and the station position in the track segment is smaller than a second preset threshold value, and calculating the ratio of the number to the total number of the track points included in the track segment; and if the ratio reaches a second preset ratio, determining that the track segment is coincident with the public transportation route.
Specifically, the public transportation route includes a plurality of stop locations, and the track segment includes a plurality of track points. If the distance between the track point and the station point is shorter, namely smaller than a second preset threshold value, the track point and the station point can be determined to be coincident. And if more track points exist in the track section and the station positions are coincident, the track section is considered to be coincident with the public transport route.
According to the embodiment, the trajectory data is split into the trajectory points, the public transportation routes are split into the station positions, and the station positions are compared respectively, so that the accuracy of judging whether the trajectory points coincide with the station positions or not can be improved, and the accuracy of judging the travel mode of the user is improved.
The second preset threshold may be in a range of 30-70 meters (m), and preferably, the second preset threshold may be 50 m. The second predetermined ratio may range from 80% to 95%, and preferably the second predetermined ratio may be 90%.
In another embodiment of the present invention, the trace points are collected according to a preset time interval. Referring to fig. 6, step S103 in fig. 1 may include the following steps:
step S305: if the average speed between two adjacent segmentation points reaches a second preset value, and the ratio of the time of the average speed reaching a fifth preset value to the total duration of the track segment is smaller than a second preset threshold value, determining that the travel type of the track segment is riding, otherwise determining that the travel type of the track segment is driving travel, wherein the fifth preset value is larger than the second preset value.
Specifically, the average speed of the user during riding is higher than the average speed of the user during walking, and the instantaneous speed difference of the user during riding is large, for example, the instantaneous speed during starting is 4km/h, and the highest speed can reach 80km/h, so when the type of the journey is determined as riding, the ratio of the time for the average speed to reach the fifth preset value to the total time length of the track segment needs to be considered. In particular, the second preset threshold may be selected from 8% -12%, preferably, the second preset threshold may be 10%.
And if the average speed between two adjacent segmentation points reaches a second preset value, and the ratio of the time of the average speed reaching a fifth preset value to the total duration of the track segment reaches a second preset threshold value, determining that the travel type of the track segment is driving travel.
In particular, the third preset value can be selected from 23km/h to 27km/h, preferably said third preset value is 25 km/h.
In a specific application scenario of the present invention, referring to fig. 7, the steps shown in fig. 7 are executed after step S102 shown in fig. 1. That is, step S401 is executed after step S101 and step S102.
The numerical values used in the present embodiment are only exemplary and do not limit the embodiments of the present invention.
In step S401, it is determined whether the average speed between two adjacent segmentation points is less than 6km/h, if so, the process proceeds to step S402, otherwise, the process proceeds to step S403 and/or step S405.
In step S402, it is determined that the travel type of the track segment corresponding to the two adjacent segmentation points is walking.
In step S403, it is determined whether the average speed between two adjacent segmentation points is less than 10km/h, if so, the process proceeds to step S404, otherwise, the process proceeds to step S414.
In step S404, it is determined that the travel type of the track segment corresponding to the two adjacent segmentation points is running.
In step S405, it is determined whether the track segment coincides with the subway line, and if so, the process proceeds to step S406, otherwise, the process proceeds to step S408.
In step S406, it is determined whether the average speed is greater than or equal to 30km/h, and if so, the flow proceeds to step S407. In step S407, it is determined that the travel type of the track segment is subway trip.
In step S408, it is determined whether the track segment coincides with the bus route, and if so, the process proceeds to step S409, otherwise, the process proceeds to step S412.
In step S409, it is determined whether the ratio of the time at which the average speed reaches 40km/h to the total length of the track segment is less than 10%, if so, the process proceeds to step S410, otherwise, the process proceeds to step S411.
In step S410, it is determined that the travel type of the track segment is a bus trip. In step S411, it is determined that the travel type of the track segment is driving travel.
In step S412, it is determined whether the track segment coincides with the train route, and if so, step S413 is entered, otherwise, step S414 is entered. In step S413, it is determined that the travel type of the track segment is train trip.
In step S414, it is determined whether the average speed is greater than or equal to 10km/h and the ratio of the time for the average speed to reach 25km/h to the total length of the track segment is less than 10%, if so, the process proceeds to step S415, otherwise, the process proceeds to step S411. In step S415, it is determined that the stroke type of the trajectory segment is riding.
At this point, at least one travel type corresponding to the track segment of the user can be determined, so that the travel mode of the user in the time of the track segment is determined, and a reference is provided for the user or other managers.
Referring to fig. 8, the trip type determining apparatus 50 may include a trajectory data obtaining module 501, a segmentation point determining module 502, and a trip type determining module 503.
The trajectory data acquisition module 501 is adapted to acquire trajectory data of a user, where the trajectory data includes a plurality of trajectory points, and each trajectory point has coordinates, time, and instantaneous speed; the segmentation point determination module 502 is adapted to determine a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of adjacent track points, the stroke types of the track points between every two segmentation points being the same; the stroke type determining module 503 is adapted to determine the stroke type of each track segment according to at least the average speed between the plurality of segment points, where the track segment refers to a track formed by track points between two adjacent segment points.
According to the embodiment of the invention, by analyzing the track data of the user, the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points is obtained, and the segmentation points of different travel types can be determined and distinguished; the travel type of the track segment can be determined at least through the average speed between the segmentation points, and the travel type can represent the travel mode of the user, so that reference can be provided for subsequent travel and other behaviors of the user.
In a specific embodiment of the present invention, referring to fig. 9, the track points are acquired according to a preset time interval, and the segmentation point determining module 502 may include a first segmentation point determining unit 5021, which is adapted to determine that a subsequent track point in adjacent track points is a segmentation point when a time interval between the adjacent track points is greater than the preset time interval.
In another embodiment of the present invention, referring to fig. 9, the segmentation point determining module 502 may include: the speed difference value calculating unit 5022 is suitable for calculating the difference value between the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points and calculating the ratio of the difference value to the instantaneous speed of the previous track point; the second segmentation point determining unit 5023 is adapted to determine that the subsequent track point is a segmentation point when the ratio reaches a first preset ratio.
In a preferred embodiment of the present invention, the trip type determining apparatus 50 shown in fig. 8 may further include a distance counting module (not shown) adapted to count the distance of each track segment; and a block chain storage module (not shown) adapted to record the distance of each track segment and the type of the run by using a block chain technique.
In an embodiment of the present invention, referring to fig. 10, the trip type determining module 503 shown in fig. 8 may include: a walking determination unit 5031, adapted to determine, when the average speed between two adjacent segmentation points is lower than a first preset value, that the travel type of the track segment corresponding to the two adjacent segmentation points is walking; a running determining unit 5032, adapted to determine that the stroke type of the track segment is running when the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, where the second preset value is greater than the first preset value.
In an embodiment of the present invention, referring to fig. 10, the trip type determining module 503 shown in fig. 8 may include: a route coincidence determination unit 5033, adapted to determine whether the track segments corresponding to two adjacent segment points coincide with the public transportation route when the average speed between the two adjacent segment points reaches a first preset value; a public transportation determination unit 5034 adapted to determine the type of travel of the trajectory segment as public transportation when the trajectory segment coincides with a public transportation route.
Further, the public transportation determining unit 5034 may include a subway determining subunit adapted to determine that the travel type of the trajectory segment is subway trip when the trajectory segment coincides with the subway line and the average speed reaches a third preset value, where the third preset value is greater than the first preset value; the bus determining subunit is suitable for determining that the travel type of the track section is bus travel when the track section is overlapped with a bus route and the ratio of the time when the average speed reaches a fourth preset value to the total time length of the track section is less than a first preset threshold value; the driving determining subunit is adapted to determine that the travel type of the track segment is driving travel when the track segment coincides with a bus route and the ratio of the time when the average speed reaches a fourth preset value to the total time length of the track segment reaches a first preset threshold value, wherein the fourth preset value is greater than the third preset value; and the train determining subunit is suitable for determining that the travel type of the track section is train trip when the track section is coincident with the train route.
The route coincidence determination unit determines that the trajectory section coincides with a public transportation route by: determining a starting point and an end point of the track segment and a public transportation route between the starting point and the end point; acquiring the station position in the public transportation route; determining track points and the number of the track points, the distance between which and the station position in the track segment is smaller than a second preset threshold value, and calculating the ratio of the number to the total number of the track points included in the track segment; and if the ratio reaches a second preset ratio, determining that the track segment is coincident with the public transportation route.
In another embodiment of the present invention, referring to fig. 10, the trip type determining module 503 shown in fig. 8 may include:
the riding determination unit 5035 is adapted to determine that the stroke type of the track segment is riding when the average speed between two adjacent segmentation points reaches a second preset value, and the ratio of the time when the average speed reaches a fifth preset value to the total time length of the track segment is less than a second preset threshold;
the driving determining unit 5036 is adapted to determine that the travel type of the track segment is driving travel when the average speed between two adjacent segmentation points reaches a second preset value, and a ratio of a time when the average speed reaches a fifth preset value to the total time length of the track segment is smaller than a second preset threshold, where the fifth preset value is larger than the second preset value.
For more details of the operation principle and the operation mode of the trip type determining device 50, reference may be made to the relevant descriptions in fig. 1 to fig. 7, which are not described herein again.
The embodiment of the invention also discloses a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the steps of the trip type determination method shown in fig. 1 to 7 can be executed. The storage medium may include ROM, RAM, magnetic or optical disks, etc. The storage medium may further include a non-volatile memory (non-volatile) or a non-transitory memory (non-transient), and the like.
The embodiment of the invention also discloses a terminal which can comprise a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor. The processor, when executing the computer instructions, may perform the steps of the trip type determination method shown in fig. 1-7. The terminal includes, but is not limited to, a mobile phone, a computer, a tablet computer and other terminal devices.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (20)
1. A trip type determination method, comprising:
the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed;
determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same;
and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.
2. The method for determining the type of the travel route according to claim 1, wherein the trace points are acquired at preset time intervals, and the determining of the plurality of segment points according to the time intervals between adjacent trace points comprises:
and if the time interval between the adjacent track points is greater than the preset time interval, determining that the next track point in the adjacent track points is a segmentation point.
3. The trip type determination method of claim 1, wherein determining a plurality of segment points based on the difference in instantaneous velocity of adjacent trace points comprises:
calculating the difference value of the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points, and calculating the ratio of the difference value to the instantaneous speed of the previous track point;
and if the ratio reaches a first preset ratio, determining the latter track point as a segmentation point.
4. The trip type determination method according to claim 1, further comprising:
counting the distance of each track segment;
and recording the distance and the travel type of each track segment by adopting a block chain technology.
5. The trip type determination method of claim 1, wherein determining the trip type for each trajectory segment based at least on an average velocity between the plurality of segmentation points comprises:
if the average speed between two adjacent segmentation points is lower than a first preset value, determining that the stroke type of the track segment corresponding to the two adjacent segmentation points is walking;
and if the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, determining that the travel type of the track segment is running, wherein the second preset value is greater than the first preset value.
6. The trip type determination method of claim 1, wherein determining the trip type for each trajectory segment based at least on an average velocity between the plurality of segmentation points comprises:
if the average speed between two adjacent segmentation points reaches a first preset value, judging whether track sections corresponding to the two adjacent segmentation points coincide with the public transport route or not;
and if the track section is coincident with the public transportation route, determining that the travel type of the track section is public transportation.
7. The trip type determination method of claim 6, wherein the determining that the trip type of the trajectory segment is public transportation comprises:
if the track section is overlapped with the subway line and the average speed reaches a third preset value, determining that the travel type of the track section is subway travel, wherein the third preset value is larger than the first preset value;
if the track section is overlapped with a bus route, and the ratio of the time of the average speed reaching a fourth preset value to the total duration of the track section is smaller than a first preset threshold value, determining that the travel type of the track section is bus travel, otherwise determining that the travel type of the track section is driving travel, wherein the fourth preset value is larger than the third preset value;
and if the track section is coincident with the train route, determining that the travel type of the track section is train travel.
8. The travel type determination method according to claim 6, characterized in that the trajectory section is judged to coincide with a public transportation route by:
determining a starting point and an end point of the track segment and a public transportation route between the starting point and the end point;
acquiring the station position in the public transportation route;
determining track points and the number of the track points, the distance between which and the station position in the track segment is smaller than a second preset threshold value, and calculating the ratio of the number to the total number of the track points included in the track segment;
and if the ratio reaches a second preset ratio, determining that the track segment is coincident with the public transportation route.
9. The trip type determination method of claim 1, wherein determining the trip type for each trajectory segment based at least on an average velocity between the plurality of segmentation points comprises:
if the average speed between two adjacent segmentation points reaches a second preset value, and the ratio of the time of the average speed reaching a fifth preset value to the total duration of the track segment is smaller than a second preset threshold value, determining that the travel type of the track segment is riding, otherwise determining that the travel type of the track segment is driving travel, wherein the fifth preset value is larger than the second preset value.
10. A trip type determining apparatus, comprising:
the track data acquisition module is suitable for acquiring track data of a user, wherein the track data comprises a plurality of track points, and each track point has coordinates, time and instantaneous speed;
the segmentation point determination module is suitable for determining a plurality of segmentation points according to the time interval between the adjacent track points or the difference of the instantaneous speeds of the adjacent track points, and the travel types of the track points between every two segmentation points are the same;
and the stroke type determining module is suitable for determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment refers to a track formed by track points between two adjacent segmentation points.
11. The trip type determination device according to claim 10, wherein the trace points are acquired at preset time intervals, and the segmentation point determination module includes:
and the first segmentation point determining unit is suitable for determining a later track point in the adjacent track points as a segmentation point when the time interval between the adjacent track points is greater than the preset time interval.
12. The trip type determination device of claim 10, wherein the segmentation point determination module comprises:
the speed difference value calculating unit is suitable for calculating the difference value between the instantaneous speed of the next track point in the adjacent track points and the instantaneous speed of the previous track point in the adjacent track points and calculating the ratio of the difference value to the instantaneous speed of the previous track point;
and the second segmentation point determining unit is suitable for determining the subsequent track point as a segmentation point when the ratio reaches a first preset ratio.
13. The travel type determination device according to claim 10, further comprising:
the distance counting module is suitable for counting the distance of each track section;
and the block chain storage module is suitable for recording the distance and the travel type of each track segment by adopting a block chain technology.
14. The trip type determination device of claim 10, wherein the trip type determination module comprises:
the walking determination unit is suitable for determining that the stroke type of the track segment corresponding to the two adjacent segmentation points is walking when the average speed between the two adjacent segmentation points is lower than a first preset value;
and the running determining unit is suitable for determining that the type of the travel of the track segment is running when the average speed between two adjacent segmentation points is greater than the first preset value and less than a second preset value, wherein the second preset value is greater than the first preset value.
15. The trip type determination device of claim 10, wherein the trip type determination module comprises:
the route coincidence determination unit is suitable for determining whether the track sections corresponding to the two adjacent segmentation points coincide with the public transport route or not when the average speed between the two adjacent segmentation points reaches a first preset value;
and the public traffic determining unit is suitable for determining that the travel type of the track section is public traffic when the track section is coincident with the public traffic route.
16. The travel type determination device according to claim 15, wherein the public transportation determination unit includes:
the subway determining subunit is suitable for determining that the travel type of the track segment is subway trip when the track segment is overlapped with a subway line and the average speed reaches a third preset value, wherein the third preset value is larger than the first preset value;
the bus determining subunit is suitable for determining that the travel type of the track section is bus travel when the track section is overlapped with a bus route and the ratio of the time when the average speed reaches a fourth preset value to the total time length of the track section is less than a first preset threshold value;
the driving determining subunit is adapted to determine that the travel type of the track segment is driving travel when the track segment coincides with a bus route and the ratio of the time when the average speed reaches a fourth preset value to the total time length of the track segment reaches a first preset threshold value, wherein the fourth preset value is greater than the third preset value;
and the train determining subunit is suitable for determining that the travel type of the track section is train trip when the track section is coincident with the train route.
17. The travel type determination device according to claim 15, wherein the route coincidence determination unit determines that the trajectory section coincides with a public transportation route by:
determining a starting point and an end point of the track segment and a public transportation route between the starting point and the end point;
acquiring the station position in the public transportation route;
determining track points and the number of the track points, the distance between which and the station position in the track segment is smaller than a second preset threshold value, and calculating the ratio of the number to the total number of the track points included in the track segment;
and if the ratio reaches a second preset ratio, determining that the track segment is coincident with the public transportation route.
18. The trip type determination device of claim 10, wherein the trip type determination module comprises:
the riding determination unit is suitable for determining that the stroke type of the track segment is riding when the average speed between two adjacent segmentation points reaches a second preset value and the ratio of the time of the average speed reaching a fifth preset value to the total time length of the track segment is less than a second preset threshold value;
and the driving determining unit is suitable for determining that the travel type of the track segment is driving travel when the average speed between two adjacent segmentation points reaches a second preset value and the ratio of the time of the average speed reaching a fifth preset value to the total time length of the track segment is less than a second preset threshold value, wherein the fifth preset value is greater than the second preset value.
19. A storage medium having stored thereon computer instructions, wherein said computer instructions are operable to perform the steps of the trip type determination method of any of claims 1 to 9.
20. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the trip type determination method of any one of claims 1 to 9.
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Address after: 200120 building C3, No. 101 Eshan Road, China (Shanghai) pilot Free Trade Zone, Pudong New Area, Shanghai Applicant after: Shanghai Lingshuzhonghe Information Technology Co.,Ltd. Address before: 200122, Zone A, 20th Floor, China Resources Times Square, No. 500 Zhangyang Road, Pudong New Area, Shanghai Applicant before: NENG LIAN TECH. LTD. |
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