CN110148225B

CN110148225B - Traffic station determining method, device, equipment and storage equipment

Info

Publication number: CN110148225B
Application number: CN201910345233.8A
Authority: CN
Inventors: 汤宁; 严坦
Original assignee: Advanced New Technologies Co Ltd
Current assignee: Advanced New Technologies Co Ltd; Advantageous New Technologies Co Ltd
Priority date: 2019-04-26
Filing date: 2019-04-26
Publication date: 2022-02-08
Anticipated expiration: 2039-04-26
Also published as: CN110148225A

Abstract

The embodiment of the application provides a traffic station determining method and device, wherein the method comprises the following steps: acquiring at least one piece of card swiping data and track data of a target vehicle, wherein the track data comprises position points recorded in the track acquisition process of the target vehicle and the arrival time of the position points; respectively determining a position point corresponding to each piece of card swiping data, wherein the position point corresponding to the card swiping data is a position point with the arrival time in the track data closest to the card swiping time of the card swiping data; and respectively determining the traffic station corresponding to each piece of card swiping data according to the position point corresponding to each piece of card swiping data and the position of each station of the target vehicle. According to the embodiment of the application, the cost of determining the traffic stop corresponding to the card swiping data is reduced, and further the cost of determining the traffic stop where passengers take the bus is reduced.

Description

Traffic station determining method, device, equipment and storage equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a traffic stop.

Background

Along with the development of cities, traveling by public transport means is advocated vigorously, and the analysis of traffic traveling data is very important for meeting the requirements of vast passengers and scientifically planning public transport networks.

Currently, determining the traffic station where the passenger gets on the vehicle is one of the important issues for analyzing the traffic travel data. The existing mode for determining the traffic stop where the passenger gets on the bus is to deploy a sensor at the stop, identify the ic card through technologies such as image identification and the like, and determine the traffic stop where the passenger gets on the bus corresponding to the ic card.

Obviously, in the above manner, since hardware devices such as sensors need to be deployed and the image recognition technology is computationally complex, the cost for determining the traffic station where the passenger gets on is high.

Disclosure of Invention

An object of one or more embodiments of the present specification is to provide a traffic stop determining method, and an apparatus, a device, and a storage medium, which solve the problem in the prior art that determining a passenger boarding stop is costly.

To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:

in one aspect, one or more embodiments of the present specification provide a traffic station determining method, including:

acquiring at least one piece of card swiping data and track data of a target vehicle, wherein the track data comprises position points recorded in the track acquisition process of the target vehicle and the arrival time of the position points;

respectively determining a position point corresponding to each piece of card swiping data, wherein the position point corresponding to the card swiping data is a position point in the track data, and the arrival time of the position point is closest to the card swiping time of the card swiping data;

and respectively determining the traffic station corresponding to each piece of card swiping data according to the position point corresponding to each piece of card swiping data and the position of each station of the target vehicle.

Optionally, before the determining the location point corresponding to each piece of the card swiping data respectively, the method further includes:

according to the card swiping time of each piece of card swiping data, dividing the card swiping data which is adjacent in sequence in the card swiping time and the card swiping time interval between two adjacent card swiping data is smaller than the preset time interval into a data set to be analyzed so as to obtain at least one data set to be analyzed;

and determining the card swiping data with the earliest card swiping time in each data set to be analyzed as the card swiping data of each corresponding data set to be analyzed.

Optionally, the determining the position point corresponding to each piece of card swiping data respectively, where the position point corresponding to the card swiping data is a position point in the trajectory data whose arrival time is closest to the card swiping time of the card swiping data includes:

and respectively determining position points corresponding to the data sets to be analyzed, wherein the position points corresponding to the data sets to be analyzed are position points with the arrival time closest to the card swiping time of the card swiping data of the data sets to be analyzed in the track data.

Optionally, the determining the transportation station corresponding to each piece of card swiping data according to the position point corresponding to each piece of card swiping data and the positions of the stations of the target vehicle respectively includes:

determining traffic stations corresponding to the data sets to be analyzed respectively according to the position points corresponding to the data sets to be analyzed and the positions of the stations of the target vehicle;

and determining the traffic station corresponding to each data set to be analyzed as the traffic station corresponding to the card swiping data in each corresponding data set to be analyzed.

sequencing the at least one piece of card swiping data according to the sequence of the card swiping time of each piece of card swiping data to obtain a card swiping data sequence;

dividing the card swiping data sequence by taking the card swiping time interval in the card swiping data sequence not less than a preset time interval and taking two adjacent card swiping data as boundaries to obtain at least one time slice;

and determining the card swiping data corresponding to the front boundary of each time slice as the card swiping data of each corresponding time slice.

and respectively determining the position point corresponding to each time slice, wherein the position point corresponding to the time slice is the position point with the arrival time closest to the card swiping time of the card swiping data of the time slice in the track data.

determining traffic stops corresponding to the time slices according to the position points corresponding to the time slices and the positions of the stops of the target vehicle;

determining the time slice to which each card swiping data belongs according to the card swiping data, the card swiping data corresponding to the front boundary of each time slice and the serial number of the card swiping data corresponding to the rear boundary in the card swiping data sequence;

and determining the traffic stop corresponding to each card swiping data according to the time slice to which each card swiping data belongs and the traffic stop corresponding to each time slice.

In another aspect, one or more embodiments of the present specification provide a traffic stop determining apparatus including:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring at least one piece of card swiping data and track data of a target vehicle, and the track data comprises position points recorded in the track acquisition process of the target vehicle and the arrival time of the position points;

the position determining module is used for respectively determining a position point corresponding to each piece of card swiping data, wherein the position point corresponding to the card swiping data is a position point in the track data, and the arrival time of the position point is the closest to the card swiping time of the card swiping data;

and the station determining module is used for respectively determining the traffic station corresponding to each piece of card swiping data according to the position point corresponding to each piece of card swiping data and the positions of all stations of the target vehicle.

Optionally, before the position determining module, the method further includes:

the card swiping time of each piece of card swiping data is less than a preset time interval, and the card swiping time interval is adjacent to the card swiping time;

and the data determining module is used for determining the card swiping data with the earliest card swiping time in each data set to be analyzed as the card swiping data of each corresponding data set to be analyzed.

Optionally, the position determining module is specifically configured to determine position points corresponding to the data sets to be analyzed, where the position points corresponding to the data sets to be analyzed are position points in the trajectory data whose arrival time is closest to the card swiping time of the card swiping data of the data sets to be analyzed.

Optionally, the station determining module includes:

the first determining unit is used for respectively determining the traffic stations corresponding to the data sets to be analyzed according to the position points corresponding to the data sets to be analyzed and the positions of the stations of the target vehicle;

and the second determining unit is used for determining the traffic station corresponding to each data set to be analyzed as the traffic station corresponding to the card swiping data in each corresponding data set to be analyzed.

the sorting module is used for sorting the at least one piece of card swiping data according to the sequence of the card swiping time of each piece of card swiping data so as to obtain a card swiping data sequence;

the dividing module is used for dividing the card swiping data sequence by taking the card swiping time interval in the card swiping data sequence not less than a preset time interval and two adjacent card swiping data as a boundary so as to obtain at least one time slice;

and the data determining module is used for determining the card swiping data corresponding to the front boundary of each time slice as the card swiping data of each corresponding time slice.

Optionally, the position determining module is specifically configured to determine a position point corresponding to each time slice, where the position point corresponding to the time slice is a position point in the trajectory data whose arrival time is closest to the card swiping time of the card swiping data of the time slice.

Optionally, the station determining module includes:

a first determining unit, configured to determine traffic stations corresponding to the time slices according to position points corresponding to the time slices and positions of stations of the target vehicle;

the second determining unit is used for determining the time slice to which each piece of card swiping data belongs according to each piece of card swiping data, the card swiping data corresponding to the front boundary of each time slice and the serial number of the card swiping data corresponding to the rear boundary in the card swiping data sequence;

and the third determining unit is used for determining the traffic stop corresponding to each card swiping data according to the time slice to which each card swiping data belongs and the traffic stop corresponding to each time slice.

In yet another aspect, one or more embodiments of the present specification provide a traffic stop determining apparatus, including:

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to:

In yet another aspect, one or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed, implement the following:

By adopting the technical scheme of one or more embodiments of the specification, the card swiping data and the track data of the target vehicle are obtained, the position point corresponding to each card swiping data is determined in the track data, wherein the position point corresponding to the card swiping data is the position point, closest to the card swiping time of the card swiping data, of the arrival time in the track data, and the traffic station corresponding to each card swiping data is determined according to the position point corresponding to each card swiping data and the position of each station of the target vehicle. On one hand, compared with the prior art, hardware equipment does not need to be deployed, so that the cost for determining the traffic station corresponding to the card swiping data is reduced, and the cost for determining the traffic station where passengers take the bus is further reduced; on the other hand, the position point corresponding to the card swiping data is determined according to the card swiping time of the card swiping data and the arrival time of the position point in the track data, and the traffic station corresponding to the card swiping data can be determined according to the position point corresponding to the card swiping data and the positions of all stations of the target vehicle, so that the traffic station corresponding to the card swiping data for the passenger to take the bus is determined according to the traffic station corresponding to the card swiping data.

Drawings

In order to more clearly illustrate one or more embodiments or technical solutions in the prior art in the present specification, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in one or more embodiments of the present specification, and other drawings can be obtained by those skilled in the art without inventive exercise.

Fig. 1 is a first flowchart of a traffic stop determination method according to an embodiment of the present application;

fig. 2 is a schematic flow chart diagram of a traffic stop determination method according to an embodiment of the present application;

fig. 3 is a third schematic flow chart of a traffic stop determination method according to an embodiment of the present application;

fig. 4 is a schematic diagram illustrating a division of a card swiping data sequence according to an embodiment of the present application;

fig. 5 is a schematic composition diagram of a traffic stop determining apparatus according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a transportation station determining apparatus according to an embodiment of the present application.

Detailed Description

One or more embodiments of the present disclosure provide a traffic stop determining method, a device, an apparatus, and a storage medium, so as to solve the problem in the prior art that determining a passenger boarding stop is costly.

In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments of the present disclosure without making any creative effort shall fall within the protection scope of one or more of the embodiments of the present disclosure.

At present, when a public vehicle (such as a bus) is taken, payment is mostly carried out in a card swiping mode, for example, the card swiping payment mode is carried out in the boarding and alighting modes or the card swiping payment mode is carried out in the boarding and alighting modes, and card swiping data recorded in each card swiping process is recorded. The existing public transport means are all provided with a GPS track recorder so as to collect track data of the public transport means in the running process through the GPS track recorder. The trajectory data includes position points recorded during the operation of the public transportation means and arrival times of the position points. Specifically, the process of acquiring the trajectory data of the public transportation means by the GPS trajectory recorder may include the following two ways: in the first mode, the GPS track recorder records the location point of the public transportation vehicle and the time of arrival at the location point (i.e., the arrival time of the location point) at intervals, wherein the common intervals include: 1 second, 5 seconds, 10 seconds, 15 seconds, 30 seconds, 60 seconds, 120 seconds; in the second mode, the GPS track recorder records the location point of the public transportation vehicle and the time to reach the location point (i.e., the arrival time of the location point) at intervals of a distance, wherein the common distance intervals include: 50 meters, 100 meters, 150 meters, 300 meters, 500 meters, 1000 meters.

Based on the above conditions, an embodiment of the present application provides a traffic stop determining method, and fig. 1 is a first flowchart of the traffic stop determining method provided in the embodiment of the present application, where an execution subject of the traffic stop determining method may be, for example, a terminal device or a server, where the terminal device may include, for example, a personal computer, and the server may be, for example, an independent server, or a server cluster composed of multiple servers, and this exemplary embodiment is not particularly limited to this. As shown in fig. 1, the method may include the steps of:

step S102, at least one piece of card swiping data and track data of the target vehicle are obtained, wherein the track data comprise position points recorded in the track collection process of the target vehicle and the arrival time of the position points.

In the embodiment of the present application, the target vehicle is a public transportation vehicle, such as a bus, and the like, and this is not particularly limited in the embodiment of the present application. The card swiping data is data recorded when the passenger swipes the card while riding the target vehicle, and each piece of card swiping data may include card swiping time, a card number corresponding to the card swiping data, and the like, which is not particularly limited in this exemplary embodiment. Since the acquisition mode of the trajectory data has been described above, it is not described herein. It should be noted that the recording manner of the location point in the track data may be longitude and latitude of the location point.

And step S104, respectively determining the position point corresponding to each piece of card swiping data, wherein the position point corresponding to the card swiping data is the position point with the arrival time in the track data closest to the card swiping time of the card swiping data.

In this embodiment of the present application, the process of determining a location point corresponding to a piece of card swiping data may include: and respectively calculating the time difference between the card swiping time of the card swiping data and the arrival time of each position point in the track data, and determining the position point with the shortest time difference between the arrival time and the card swiping time of the card swiping data as the position point with the shortest arrival time from the card swiping time of the card swiping data, namely the position point with the shortest time difference between the arrival time and the card swiping time of the card swiping data is the position point corresponding to the card swiping data. It should be noted that, since the determination principle of the location point corresponding to each piece of card swiping data is the same, the process of determining the location point corresponding to each other piece of card swiping data is not described herein again.

And S106, respectively determining the traffic station corresponding to each piece of card swiping data according to the position point corresponding to each piece of card swiping data and the position of each station of the target vehicle.

In this embodiment of the present application, the process of determining a transportation station corresponding to one piece of card swiping data may include: respectively calculating the distance between the position point corresponding to the card swiping data and each station of the target vehicle, specifically, calculating the distance between the position point corresponding to the card swiping data and each station of the target vehicle according to the longitude and latitude of the position point corresponding to the card swiping data and the longitude and latitude of the position of each station of the target vehicle; and determining the station closest to the position point corresponding to the card swiping data as the traffic station corresponding to the card swiping data according to the distance between the position point corresponding to the card swiping data and each station of the target vehicle.

On this basis, in order to improve the accuracy and efficiency of determining the traffic stop, the embodiment of the present application further provides the following two ways, wherein:

in a first manner, fig. 2 is a schematic flow chart diagram of a traffic station determining method provided in the embodiment of the present application, and as shown in fig. 2, the method may include the following steps:

step S202, at least one piece of card swiping data and track data of the target vehicle are obtained, wherein the track data comprise position points recorded in the track collection process of the target vehicle and the arrival time of the position points. Since the principle of this step is the same as that of step S102, it is not described herein.

Step S204, according to the card swiping time of each piece of card swiping data, dividing the card swiping data which is adjacent in sequence in the card swiping time and the card swiping time interval between two adjacent card swiping data is smaller than the preset time interval into a data set to be analyzed so as to obtain at least one data set to be analyzed.

In the embodiment of the present application, since, from the distribution of the card swiping data of the vehicle in the operation process of the whole line in the card swiping time, the card swiping time interval between two adjacent card swiping data belonging to the same station and being in the card swiping time is greatly different from the card swiping time interval between two adjacent stations, a preset time interval can be obtained by counting the card swiping times of a large amount of card swiping data, and the preset time interval can be 5 minutes, 6 minutes, and the like, which is not particularly limited in this exemplary embodiment, so as to divide the card swiping data according to the preset time interval, that is, divide the card swiping data of the same station together, specifically, if the card swiping time interval between two adjacent card swiping data in the card swiping time is smaller than the preset time interval, then the two adjacent card swiping data in the card swiping time belong to the same station, if not, the two adjacent card swiping data in the card swiping time do not belong to the same site.

Based on this, the purpose of step S204 is to divide the card swiping data of the same site into one data set to be analyzed. The specific process comprises the following steps: firstly, calculating the card swiping time interval of two adjacent card swiping data in the card swiping time according to the card swiping time of each piece of card swiping data, comparing the card swiping time interval of the two adjacent card swiping data in the card swiping time with a preset time interval, and dividing the card swiping time interval which is smaller than the preset time interval and is adjacent in sequence into a data set to be analyzed.

For example, if the number of the card swiping data is 10, the first card swiping data to the tenth card swiping data are sequentially arranged according to the sequence of the card swiping time. Calculating the card swiping time interval of two adjacent card swiping data in the card swiping time, and obtaining that the card swiping time interval of the first card swiping data and the second card swiping data is 10 seconds, the card swiping time interval of the second card swiping data and the third card swiping data is 15 seconds, the card swiping time interval of the third card swiping data and the fourth card swiping data is 8 seconds, the card swiping time interval of the fourth card swiping data and the fifth card swiping data is 6 minutes, the card swiping time interval of the fifth card swiping data and the sixth card swiping data is 10 seconds, the card swiping time interval of the sixth card swiping data and the seventh card swiping data is 2 minutes, the card swiping time interval of the seventh card swiping data and the eighth card swiping data is 7 minutes, the card swiping time interval of the eighth card swiping data and the ninth card swiping data is 20 seconds, and the card swiping time interval of the ninth card swiping data and the tenth card swiping data is 15 seconds. If the preset time interval is 5 minutes, the first card swiping data to the fourth card swiping data are sequentially adjacent in the card swiping time, and the card swiping time interval of the two adjacent card swiping data is smaller than the preset time interval, so that the first card swiping data to the fourth card swiping data are divided into a data set to be analyzed, which is named as a first data set to be analyzed. Similarly, the fifth card swiping data to the seventh card swiping data are sequentially adjacent in the card swiping time, and the card swiping time interval of the two adjacent card swiping data is smaller than the preset time interval, so that the fifth card swiping data to the seventh card swiping data are divided into a data set to be analyzed, which is named as a second data set to be analyzed. Similarly, the eighth card swiping data to the tenth card swiping data are sequentially adjacent in the card swiping time, and the card swiping time interval of the two adjacent card swiping data is smaller than the preset time interval, so that the eighth card swiping data to the tenth card swiping data are divided into a data set to be analyzed, which is named as a third data set to be analyzed.

And S206, determining the card swiping data with the earliest card swiping time in each data set to be analyzed as the card swiping data of each corresponding data set to be analyzed.

In the embodiment of the present application, taking the example in step S204 as an example, since the card swiping time of the first card swiping data is the earliest in the first set of data to be analyzed, the first card swiping data is determined as the card swiping data of the first set of data to be analyzed. Since the card swiping time of the fifth card swiping data is the earliest in the second data set to be analyzed, the fifth card swiping data is determined as the card swiping data of the second data set to be analyzed. Since the card swiping time of the eighth card swiping data is the earliest in the third data set to be analyzed, the eighth card swiping data is determined as the card swiping data of the third data set to be analyzed.

And S208, respectively determining position points corresponding to the data sets to be analyzed, wherein the position points corresponding to the data sets to be analyzed are the position points with the arrival time closest to the card swiping time of the card swiping data of the data sets to be analyzed in the track data.

In this embodiment of the present application, the process of determining a location point corresponding to a data set to be analyzed may include: and respectively calculating the time difference between the card swiping time of the card swiping data of the data set to be analyzed and the arrival time of each position point in the track data, and determining the position point with the shortest time difference between the arrival time and the card swiping time of the card swiping data of the data set to be analyzed as the position point with the shortest arrival time closest to the card swiping time of the card swiping data of the data set to be analyzed, namely the position point with the shortest time difference between the arrival time and the card swiping time of the card swiping data of the data set to be analyzed is the position point corresponding to the data set to be analyzed. It should be noted that, because the determination principle of the location point corresponding to each data set to be analyzed is the same, the process of determining the location point corresponding to each other data set to be analyzed is not described herein again.

And S210, respectively determining the traffic stations corresponding to the data sets to be analyzed according to the position points corresponding to the data sets to be analyzed and the positions of the stations of the target vehicle.

In an embodiment of the present application, the process of determining a transportation station corresponding to a data set to be analyzed may include: calculating the distance between the position point corresponding to the data set to be analyzed and each station of the target vehicle, specifically, calculating the distance between the position point corresponding to the data set to be analyzed and each station according to the longitude and latitude of the position point corresponding to the data set to be analyzed and the longitude and latitude of the position of each station; and determining the station closest to the position point corresponding to the data set to be analyzed as the traffic station corresponding to the data set to be analyzed according to the distance between the position point corresponding to the data set to be analyzed and each station. It should be noted that the principle of determining the traffic stop corresponding to each data set to be analyzed is the same, and therefore, the process of determining the traffic stop corresponding to each other data set to be analyzed is not described herein again.

And S212, determining the traffic station corresponding to each data set to be analyzed as the traffic station corresponding to the card swiping data in each corresponding data set to be analyzed.

In the embodiment of the application, the traffic stop corresponding to each card swiping data can be determined according to the traffic stop corresponding to each data set to be analyzed and the data set to be analyzed to which each card swiping data belongs. For example, if the transportation station corresponding to the first data set to be analyzed is a third transportation station and the third card swiping data belongs to the first data set to be analyzed, the station corresponding to the third card swiping data is a third transportation station.

It can be known from the above that, the card swiping data is divided by the preset time interval, that is, the card swiping data belonging to the same station is classified into a data set to be analyzed, the card swiping data with the earliest card swiping time in the data set to be analyzed is determined as the card swiping data of the data set to be analyzed, the traffic station corresponding to the data set to be analyzed is determined according to the card swiping data of the data set to be analyzed, the traffic station corresponding to the card swiping data is determined according to the traffic station corresponding to the data set to be analyzed, that is, the traffic station corresponding to all the card swiping data in the station is determined according to the card swiping data with the earliest card swiping time in the same station, so that the accuracy of determining the traffic station corresponding to the card swiping data is improved, and meanwhile, the traffic station corresponding to all the card swiping data belonging to the data set to be analyzed can be determined only by determining the traffic station corresponding to the card swiping data with the earliest card swiping time in each data set to be analyzed, the calculation amount and the calculation complexity are greatly reduced, and the efficiency of determining the traffic station corresponding to the card swiping data is improved.

Mode two and fig. 3 are a schematic flow chart diagram three of the traffic station determining method provided in the embodiment of the present application, and as shown in fig. 3, the method may include the following steps:

step S302, at least one piece of card swiping data and track data of the target vehicle are obtained, wherein the track data comprise position points recorded in the track collection process of the target vehicle and the arrival time of the position points. Since this step is the same as the implementation principle of step S102 above, it is not described here in detail.

And S304, sequencing at least one piece of card swiping data according to the sequence of the card swiping time of each piece of card swiping data to obtain a card swiping data sequence.

In the embodiment of the application, the card swiping data is sequenced according to the card swiping time of each piece of card swiping data, namely at least one piece of card swiping data is sequenced from front to back according to the card swiping time to obtain a card swiping data sequence, and the serial number of each piece of card swiping data on the card swiping data sequence is recorded.

And S306, dividing the card swiping data sequence by taking the card swiping time interval in the card swiping data sequence not less than the preset time interval and two adjacent card swiping data as boundaries to obtain at least one time slice.

In the embodiment of the application, the card swiping time interval of two adjacent card swiping data in the card swiping data sequence is calculated according to the card swiping time of each piece of card swiping data, and the two pieces of card swiping data, of which the card swiping time interval is not less than the preset time interval, are used as boundaries to divide the card swiping data sequence so as to obtain at least one time slice. It should be noted that, since the preset time interval has already been described above, it is not described herein again.

For example, fig. 4 is a schematic diagram of dividing a card swiping data sequence provided in the embodiment of the present application, as shown in fig. 4, the number of the card swiping data is 8, and a card swiping data sequence obtained by sorting the card swiping data according to a sequence of the card swiping time is as shown in fig. 4, where the card swiping data is first to eighth card swiping data (M1-M8) in sequence from first to last in the card swiping time. The swipe time interval of the first swipe data M1 and the second swipe data M2 is Δ T1, the swipe time interval of the second swipe data M2 and the third swipe data M3 is Δ T2, the swipe time interval of the third swipe data M3 and the fourth swipe data M4 is Δ T3, the swipe time interval of the fourth swipe data M4 and the fifth swipe data M5 is Δ T4, the swipe time interval of the fifth swipe data M5 and the sixth swipe data M6 is Δ T5, the swipe time interval of the sixth swipe data M6 and the seventh swipe data M7 is Δ T6, the swipe time interval of the seventh swipe data M7 and the eighth swipe data M7 is Δ T7, wherein Δ T7 and Δ T7 are greater than a preset time interval, and therefore the third swipe data M7 and the fifth swipe data M7 are divided into a set of the third swipe data M7 and a set of boundary data M7 and a set of third swipe data M7 and a third swipe data 7 and a set of boundary data 7 and a third swipe data 7, three time slices are obtained and are respectively a first time slice Block1, a second time slice Block2 and a third time slice Block3, wherein the first card swiping data M1 is card swiping data corresponding to a front boundary of the first time slice Block1, the third card swiping data M3 is card swiping data corresponding to a rear boundary of the first time slice Block1, the fourth card swiping data M4 is card swiping data corresponding to a front boundary of the second time slice Block2, the fifth card swiping data M5 is card swiping data corresponding to a rear boundary of the second time slice Block2, the sixth card swiping data M6 is card swiping data corresponding to a front boundary of the third time slice Block3, and the eighth card swiping data M8 is card swiping data corresponding to a rear boundary of the third time slice Block 3.

And step S308, determining the card swiping data corresponding to the front boundary of each time slice as the card swiping data of each corresponding time slice.

In the embodiment of the present application, taking the example in step S306 as an example, it is known that the first card swiping data M1 is the card swiping data of the first time slice Block 1. The fourth swipe data M4 is swipe data of the second time slice Block 2. The sixth swipe data M6 is swipe data of the third time slice Block 3.

And step S310, respectively determining the position points corresponding to the time slices, wherein the position points corresponding to the time slices are the position points with the arrival time closest to the card swiping time of the card swiping data of the time slices in the track data.

In an embodiment of the present application, the process of determining a location point corresponding to a time slice may include: and respectively calculating the time difference between the card swiping time of the time slice card swiping data and the arrival time of each position point in the track data, and determining the position point with the shortest time difference between the arrival time and the card swiping time of the time slice card swiping data as the position point with the shortest arrival time closest to the card swiping time of the time slice card swiping data, namely the position point with the shortest time difference between the arrival time and the card swiping time of the time slice card swiping data as the position point corresponding to the time slice. It should be noted that, since the determination principle of the position point corresponding to each time slice is the same, the process of determining the position points corresponding to other time slices is not described herein again.

And step S312, determining the traffic station corresponding to each time slice according to the position point corresponding to each time slice and the position of each station of the target vehicle.

In an embodiment of the present application, the process of determining a traffic station corresponding to a time slice may include: calculating the distance between the position point corresponding to the time slice and each station of the target vehicle, specifically, calculating the distance between the position point corresponding to the time slice and each station according to the longitude and latitude of the position point corresponding to the time slice and the longitude and latitude of the position of each station; and determining the station closest to the position point corresponding to the time slice as the traffic station corresponding to the time slice according to the distance between the position point corresponding to the time slice and each station. It should be noted that the principle of determining the traffic station corresponding to each time slice is the same, and therefore, the process of determining the traffic station corresponding to each other time slice is not described herein again.

And step S314, determining the time slice to which each card swiping data belongs according to the card swiping data, the card swiping data corresponding to the front boundary and the card swiping data corresponding to the rear boundary of each time slice in the card swiping data sequence.

In this embodiment of the application, after the card swiping data is sequenced to obtain the card swiping data sequence, the serial number of each card swiping data in the card swiping data sequence, and the serial numbers of the card swiping data corresponding to the front boundary and the card swiping data corresponding to the rear boundary of each time slice in the card swiping data sequence can be determined in the card swiping data sequence. And then, determining the time slice to which each card swiping data belongs according to the serial number of each card swiping data, the card swiping data corresponding to the front boundary and the card swiping data corresponding to the rear boundary of each time slice. For example, as shown in fig. 4, for the first time slice Block1, since the serial number of the card swiping data corresponding to the front boundary of the first time slice Block1 is M1 (i.e., the first card swiping data M1), and the serial number of the card swiping data corresponding to the rear boundary of the first time slice Block1 is M3 (i.e., the third card swiping data M3), since the serial numbers of the first to third card swiping data (M1 to M3) all belong to the range of the serial numbers corresponding to the front boundary and the rear boundary of the first time slice Block1, the first to third card swiping data (M1 to M3) belong to the first time slice Block 1.

And S316, determining the traffic station corresponding to each card swiping data according to the time slice to which each card swiping data belongs and the traffic station corresponding to each time slice.

In this embodiment of the application, for example, if the transportation station corresponding to the first time slice is a third transportation station, and the third card swiping data belongs to the first time slice, the transportation station corresponding to the third card swiping data is the third transportation station.

It can be known from the above that, the card swiping data sequence is divided by the preset time interval, that is, the card swiping data belonging to the same station is divided into the same time slice, the card swiping data corresponding to the front boundary of the time slice is determined as the time slice card swiping data, the traffic station corresponding to the time slice is determined according to the time slice card swiping data, and the traffic station corresponding to the card swiping data is determined according to the time slice traffic station, that is, the traffic station corresponding to all the card swiping data in the station is determined according to the card swiping data with the earliest card swiping time in the same station, so that the accuracy of determining the traffic station corresponding to the card swiping data is improved, meanwhile, the traffic station corresponding to all the card swiping data belonging to the time slice can be determined only by determining the traffic station corresponding to the card swiping data corresponding to the front boundary of the time slice, thereby greatly reducing the calculation amount and the complexity of calculation, the efficiency of determining the traffic station corresponding to the card swiping data is improved.

If the acquired card swiping data is the card swiping data of the passenger getting on the bus, the traffic station corresponding to the card swiping data is the traffic station corresponding to the card swiping data for the passenger getting on the bus; and if the acquired card swiping data is the card swiping data of the passengers when the passengers get off the bus, the traffic station corresponding to the card swiping data is the traffic station corresponding to the card swiping data for the passengers to get off the bus. Specifically, the passenger corresponding to the card swiping data can be determined according to the card number in the card swiping data.

In summary, compared with the prior art, due to the fact that hardware equipment does not need to be deployed, the cost for determining the traffic station corresponding to the card swiping data is reduced, and the cost for determining the traffic station where passengers take the bus is further reduced; in addition, the position point corresponding to the card swiping data is determined according to the card swiping time of the card swiping data and the arrival time of the position point in the track data, and the traffic station corresponding to the card swiping data can be determined according to the position point corresponding to the card swiping data and the positions of all stations of the target vehicle, so that the traffic station corresponding to the card swiping data for the passenger to take the bus is determined according to the traffic station corresponding to the card swiping data.

Corresponding to the traffic stop determining method, based on the same technical concept, an embodiment of the present application further provides a traffic stop determining apparatus, and fig. 5 is a schematic composition diagram of the traffic stop determining apparatus provided in the embodiment of the present application, where the apparatus is configured to execute the traffic stop determining method, and as shown in fig. 5, the apparatus 500 may include: an obtaining module 501, a position determining module 502, and a station determining module 503, wherein:

the obtaining module 501 may be configured to obtain at least one piece of card swiping data and trajectory data of a target vehicle, where the trajectory data includes a position point recorded in a trajectory acquisition process of the target vehicle and an arrival time of the position point;

a position determining module 502, configured to determine a position point corresponding to each piece of card swiping data, where the position point corresponding to the card swiping data is a position point in the trajectory data, where an arrival time of the position point is closest to a card swiping time of the card swiping data;

the station determining module 503 may be configured to determine a transportation station corresponding to each piece of card swiping data according to a position point corresponding to each piece of card swiping data and positions of stations of the target vehicle.

Optionally, before the position determining module 502, the method may further include:

Optionally, the position determining module 502 may be specifically configured to determine the position point corresponding to each data set to be analyzed, where the position point corresponding to the data set to be analyzed is a position point in the trajectory data, where the arrival time of the position point is closest to the card swiping time of the card swiping data of the data set to be analyzed.

Optionally, the station determining module 503 may include:

the first determining unit may be configured to determine, according to a location point corresponding to each data set to be analyzed and a location of each station of the target vehicle, a traffic station corresponding to each data set to be analyzed;

the second determining unit may be configured to determine a traffic station corresponding to each data set to be analyzed as a traffic station corresponding to the card swiping data in each corresponding data set to be analyzed.

the sorting module can be used for sorting the at least one piece of card swiping data according to the sequence of the card swiping time of each piece of card swiping data so as to obtain a card swiping data sequence;

Optionally, the position determining module 502 may be specifically configured to determine the position point corresponding to each time slice, where the position point corresponding to the time slice is a position point in the trajectory data whose arrival time is closest to the card swiping time of the card swiping data of the time slice.

Optionally, the station determining module 503 may include:

the second determining unit may be configured to determine, according to each piece of card swiping data, serial numbers of the card swiping data corresponding to a front boundary and the card swiping data corresponding to a rear boundary of each time slice in the card swiping data sequence, a time slice to which each piece of card swiping data belongs;

Compared with the prior art, the traffic stop determining device in the embodiment of the application has the advantages that hardware equipment does not need to be deployed, so that the cost for determining the traffic stop corresponding to the card swiping data is reduced, and the cost for determining the traffic stop taken by a passenger is further reduced; in addition, the position point corresponding to the card swiping data is determined according to the card swiping time of the card swiping data and the arrival time of the position point in the track data, and the traffic station corresponding to the card swiping data can be determined according to the position point corresponding to the card swiping data and the positions of all stations of the target vehicle, so that the traffic station corresponding to the card swiping data for the passenger to take the bus is determined according to the traffic station corresponding to the card swiping data.

Corresponding to the traffic stop determining method, based on the same technical concept, an embodiment of the present application further provides a traffic stop determining device, and fig. 6 is a schematic structural diagram of the traffic stop determining device provided in the embodiment of the present application, where the device is configured to execute the traffic stop determining method.

As shown in fig. 6, the transportation site determining apparatus may have a relatively large difference due to different configurations or performances, and may include one or more processors 601 and a memory 602, and one or more stored applications or data may be stored in the memory 602. Wherein the memory 602 may be transient or persistent storage. The application stored in memory 602 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for a transit station determination device. Still further, the processor 601 may be disposed in communication with the memory 602 to execute a series of computer-executable instructions in the memory 602 on the transit station determination device. The transit station determination apparatus may also include one or more power supplies 603, one or more wired or wireless network interfaces 604, one or more input-output interfaces 605, one or more keyboards 606, and the like.

In one particular embodiment, the traffic stop determination device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the traffic stop determination device, and the one or more programs configured to be executed by the one or more processors include computer-executable instructions for:

Optionally, before the step of determining the location point corresponding to each piece of the card swiping data respectively, the computer executable instructions further include:

Optionally, when executed, the computer-executable instructions respectively determine a location point corresponding to each piece of card swiping data, where the location point corresponding to the card swiping data is a location point in the trajectory data whose arrival time is closest to the card swiping time of the card swiping data, and the location point includes:

Optionally, when the computer executable instruction is executed, the determining, according to the position point corresponding to each piece of card swiping data and the positions of the stations of the target vehicle, the transportation station corresponding to each piece of card swiping data respectively includes:

Compared with the prior art, the traffic station determining equipment in the embodiment of the application has the advantages that hardware equipment does not need to be deployed, so that the cost for determining the traffic station corresponding to the card swiping data is reduced, and the cost for determining the traffic station where passengers take the bus is reduced; in addition, the position point corresponding to the card swiping data is determined according to the card swiping time of the card swiping data and the arrival time of the position point in the track data, and the traffic station corresponding to the card swiping data can be determined according to the position point corresponding to the card swiping data and the positions of all stations of the target vehicle, so that the traffic station corresponding to the card swiping data for the passenger to take the bus is determined according to the traffic station corresponding to the card swiping data.

Corresponding to the above traffic station determining method, based on the same technical concept, an embodiment of the present application further provides a storage medium for storing computer executable instructions, where in a specific embodiment, the storage medium may be a usb disk, an optical disk, a hard disk, and the like, and when the computer executable instructions stored in the storage medium are executed by a processor, the following process can be implemented:

Optionally, the storage medium stores computer-executable instructions, which when executed by the processor, further include, before the respectively determining a location point corresponding to each piece of the card swiping data:

Optionally, when executed by a processor, the computer-executable instructions stored in the storage medium respectively determine a position point corresponding to each piece of card swiping data, where the position point corresponding to the card swiping data is a position point in the trajectory data, where an arrival time of the position point is closest to a card swiping time of the card swiping data, and the position point includes:

Optionally, when the computer executable instructions stored in the storage medium are executed by the processor, the determining the transportation station corresponding to each piece of card swiping data according to the position point corresponding to each piece of card swiping data and the positions of the stations of the target vehicle respectively includes:

Compared with the prior art, when the computer executable instructions stored in the storage medium are executed by the processor, the cost for determining the traffic station corresponding to the card swiping data is reduced due to the fact that hardware equipment does not need to be deployed, and the cost for determining the traffic station where passengers take the bus is further reduced; in addition, the position point corresponding to the card swiping data is determined according to the card swiping time of the card swiping data and the arrival time of the position point in the track data, and the traffic station corresponding to the card swiping data can be determined according to the position point corresponding to the card swiping data and the positions of all stations of the target vehicle, so that the traffic station corresponding to the card swiping data for the passenger to take the bus is determined according to the traffic station corresponding to the card swiping data.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A traffic stop determination method, comprising:

respectively determining position points corresponding to the card swiping data groups based on target card swiping data with the earliest card swiping time in the card swiping data groups, wherein the position points corresponding to the card swiping data groups are position points with the shortest arrival time in the track data and the closest card swiping time of the target card swiping data, and each card swiping data group comprises a plurality of pieces of card swiping data corresponding to the same station;

and respectively determining a traffic station corresponding to each piece of card swiping data according to the position point corresponding to each card swiping data packet and the position of each station of the target vehicle, wherein the traffic station corresponding to each piece of card swiping data is the station closest to the position point corresponding to the card swiping data packet to which the card swiping data belongs.

2. The transportation site determining method according to claim 1, further comprising, before the determining the respective location points corresponding to the respective card swiping data packets:

and determining the card swiping data with the earliest card swiping time in each data set to be analyzed as the corresponding target card swiping data of each data set to be analyzed.

3. The transportation station determining method according to claim 2, wherein the determining the position point corresponding to each card swiping data group respectively based on the target card swiping data with the earliest card swiping time in each card swiping data group comprises:

and respectively determining position points corresponding to the data sets to be analyzed based on the target card swiping data in the data sets to be analyzed, wherein the position points corresponding to the data sets to be analyzed are the position points with the arrival time in the track data closest to the card swiping time of the target card swiping data of the data sets to be analyzed.

4. The transportation station determining method according to claim 3, wherein the determining the transportation station corresponding to each piece of card swiping data according to the position point corresponding to each card swiping data packet and the position of each station of the target vehicle respectively comprises:

5. The transportation site determining method according to claim 1, further comprising, before the determining the respective location points corresponding to the respective card swiping data packets:

and determining the card swiping data corresponding to the front boundary of each time slice as the target card swiping data of each corresponding time slice.

6. The transportation station determining method according to claim 5, wherein the determining the corresponding position point of each card swiping data group respectively based on the target card swiping data with the earliest card swiping time in each card swiping data group comprises:

and respectively determining the position point corresponding to each time slice based on the target card swiping data in each time slice, wherein the position point corresponding to the time slice is the position point of the arrival time in the track data closest to the card swiping time of the target card swiping data of the time slice.

7. The transportation station determining method according to claim 6, wherein the determining the transportation station corresponding to each piece of card swiping data according to the position point corresponding to each card swiping data packet and the position of each station of the target vehicle respectively comprises:

8. A traffic stop determination apparatus, characterized by comprising:

the position determining module is used for respectively determining position points corresponding to the card swiping data groups based on target card swiping data with the earliest card swiping time in the card swiping data groups, wherein the position points corresponding to the card swiping data groups are position points with the shortest arrival time in the track data and the closest card swiping time of the target card swiping data, and each card swiping data group comprises a plurality of card swiping data corresponding to the same station;

and the station determining module is used for respectively determining a traffic station corresponding to each piece of card swiping data according to the position point corresponding to each card swiping data group and the position of each station of the target vehicle, wherein the traffic station corresponding to each piece of card swiping data is the station closest to the position point corresponding to the card swiping data group to which the card swiping data belongs.

9. The transit station determination device of claim 8, further comprising, prior to the position determination module:

and the data determining module is used for determining the card swiping data with the earliest card swiping time in each data set to be analyzed as the corresponding target card swiping data of each data set to be analyzed.

10. The transportation station determining apparatus according to claim 9, wherein the position determining module is specifically configured to determine, based on the target card swiping data in each data set to be analyzed, a position point corresponding to each data set to be analyzed, respectively, where the position point corresponding to the data set to be analyzed is a position point in the trajectory data whose arrival time is closest to a card swiping time of the target card swiping data of the data set to be analyzed.

11. The traffic-stop determining apparatus according to claim 10, wherein the stop determining module comprises:

12. The transit station determination device of claim 8, further comprising, prior to the position determination module:

and the data determining module is used for determining the card swiping data corresponding to the front boundary of each time slice as the corresponding target card swiping data of each time slice.

13. The transportation station determining apparatus according to claim 12, wherein the position determining module is specifically configured to determine, based on the target card swiping data in each time slice, a position point corresponding to each time slice, where the position point corresponding to the time slice is a position point in the trajectory data whose arrival time is closest to the target card swiping time of the card swiping data of the time slice.

14. The traffic-stop determining apparatus according to claim 13, wherein the stop determining module comprises:

15. A traffic stop determination device, characterized by comprising:

a processor; and

16. A storage medium storing computer-executable instructions, wherein the computer-executable instructions, when executed, implement the following: