Cross-border passenger trip chain identification method and system

Abstract

The invention provides a cross-border passenger trip chain identification method and system, and the method comprises the steps: screening out a base station of a port / airport based on the position information of a base station, and carrying out the preliminary screening of potential cross-border passengers; the method comprises the following steps of: acquiring full-chain travel of potential cross-border travelers at home through a residence area pre-identification algorithm based on mobile phone signaling when the travelers reside at home; constructing a residence mathematical model, screening a residence point with the maximum credibility in the port / airport through the residence mathematical model as a cross-border access point, and determining the position of the cross-border access point; distinguishing entry and exit behaviors of the cross-border passengers according to the residence time of the cross-border passengers at the ports / airports and the mobile phone signaling disappearance characteristics; and merging full-chain travel, cross-border entry and exit point positions and entry and exit behaviors of the cross-border passengers in the home, and constructing a cross-border crowd travel chain. Through the scheme, the accuracy of the cross-border passenger travel survey data can be improved, and the coverage time and coverage range of the survey data are improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of data mining, and particularly relates to a cross-border passenger travel chain identification method and system. BACKGROUND

[0002] In recent years, the destination or departure place before customs of cross-border passengers (cross-border and air passengers) is an important research content for exploring cross-border tourists, which not only helps to provide an important basis for optimizing the deployment of traffic modes such as subways, buses, and taxis, but also helps to study the distribution of urban structure layout such as business and office facilities.

[0003] The traditional method for obtaining cross-border land and air passengers mainly relies on manual on-site investigation, and the investigation is carried out on typical working days, rest days, and holidays, and the travel-related information is obtained by randomly intercepting passengers on site and asking them. Although this method can obtain the travel demand and travel plan of passengers, it is limited by labor costs, and the time and space range covered by data sampling investigation is limited. SUMMARY

[0004] Therefore, the embodiments of the present application provide a cross-border passenger travel chain identification method and system to solve the problem of limited coverage of current cross-border passenger travel investigation data.

[0005] In a first aspect of the embodiments of the present application, a cross-border passenger travel chain identification method is provided, comprising: Screening the base station of the port of exit / airport based on the base station position information, and preliminarily screening the potential cross-border passengers according to the screened port of exit / airport base station; Based on the mobile phone signaling of the passengers staying in the country, the whole-chain travel of the potential cross-border passengers in the country is obtained through a stay area pre-identification algorithm, and the stay area pre-identification algorithm is used to identify the stay area of the cross-border passengers in the country for one day based on the mobile phone signaling of the base station; Constructing a stay mathematical model, screening the most credible stay point in the port of exit / airport as the cross-border entry and exit point through the stay mathematical model, and determining the position of the cross-border entry and exit point; According to the stay time and mobile phone signaling disappearance characteristics of the cross-border passengers at the port of exit / airport, the entry and exit behaviors of the cross-border passengers are distinguished; The whole-chain travel of the cross-border passengers in the country, the position of the cross-border entry and exit point, and the entry and exit behaviors are combined to construct a cross-border population travel chain.

[0006] In a second aspect of the embodiments of the present application, a cross-border passenger travel chain identification system is provided, comprising: A passenger screening module is configured to screen the base station of the port of exit / airport based on the base station position information, and preliminarily screen the potential cross-border passengers according to the screened port of exit / airport base station; A resident area identification module is configured to obtain the whole-chain travel of the potential cross-border passenger in the country by a resident area pre-identification algorithm based on the mobile phone signaling of the passenger when staying in the country, and the resident area pre-identification algorithm is configured to identify the resident area of the cross-border passenger in the country for one day based on the mobile phone signaling of the base station; A cross-border point screening module is configured to construct a resident mathematical model, screen the most reliable resident point in the port / airport as the cross-border entry and exit point by the resident mathematical model, and determine the location of the cross-border entry and exit point. A border crossing judgment module is configured to distinguish the entry and exit behavior of the cross-border passenger according to the stay time of the cross-border passenger in the port / airport and the mobile phone signaling disappearance feature. A travel chain construction module is configured to combine the whole-chain travel of the cross-border passenger in the country, the location of the cross-border entry and exit point and the entry and exit behavior to construct the travel chain of the cross-border passenger.

[0007] In a third aspect of the embodiments of the present application, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable by the processor, and the processor implements the steps of the method according to the first aspect of the embodiments of the present application when executing the computer program.

[0008] In a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program is executable by a processor to implement the steps of the method according to the first aspect of the embodiments of the present application.

[0009] In the embodiments of the present application, based on the mobile phone signaling of the cross-border passenger, the whole-chain travel of the cross-border passenger in the country is analyzed and identified by a resident area pre-identification algorithm, the most reliable cross-border entry and exit point location is screened by a resident mathematical model, and the entry and exit behavior of the cross-border passenger is distinguished. Compared with the traditional sampling survey, the accuracy of the cross-border passenger travel survey can be improved, the coverage range of the survey data can be increased, the time and space coverage requirements can be met, the survey and analysis method is simple and easy to implement, the analysis and survey efficiency of the cross-border passenger can be effectively improved, and the survey cost can be reduced. BRIEF DESCRIPTION OF DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating any inventive labor.

[0011] Figure 1 A flowchart of a cross-border passenger travel chain identification method provided by an embodiment of the present application; Figure 2Residency point credibility diagram provided for an embodiment of the present application; Figure 3 Base station drift point diagram provided for an embodiment of the present application; Figure 4 Structure diagram of a cross-border passenger travel chain identification system provided for an embodiment of the present application; Figure 5 Structure diagram of an electronic device provided for an embodiment of the present application. DETAILED DESCRIPTION

[0012] To make the purposes, features, and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the embodiments described below are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0013] It should be understood that the terms "comprise", "comprising", and other similar expressions in the specification or claims of the present application and the above-described drawings mean covering non-exclusive inclusion, such as a process, method, or system, device comprising a series of steps or units, without being limited to the listed steps or units. In addition, "first" and "second" are used to distinguish different objects, and are not used to describe a specific order.

[0014] Please refer to Figure 1 The flow diagram of a cross-border passenger travel chain identification method provided by the embodiments of the present application comprises: S101, filtering the base stations of the port / airport based on the base station position information, and preliminarily screening the potential cross-border passengers according to the filtered port / airport base stations; The base station position information at least includes base station longitude and latitude information, and the base station device generally includes longitude and latitude, base station type, and building name where the base station is located, etc. The base stations belonging to the port / airport can be filtered according to the base station position or the building where the base station is located.

[0015] It should be noted that there is a certain difference between the airport and the port. The airport has a wide range and contains multiple terminals, while the port area is relatively small, for example, the Shenzhen Bay Port covers only less than 0.03 km 2 of the port security building. Therefore, when filtering the base stations, all airport-related base stations can be used for the airport base stations, and the port building is taken as the center, and the surrounding cross-border vehicle parking lots are used as the basis for preliminary screening.

[0016] According to the screened port / airport base station pair, possible cross-border passengers are preliminarily screened, and whether each user has a connection with the screened port / airport base station in a day is identified. The user with a port / airport base station record can be marked as a possible cross-border passenger. For mobile users who live or work nearby or passengers who travel in the surrounding area and connect to the corresponding base station, they can also be marked. Here, only after the possible passengers are preliminarily screened, the operation amount of subsequent residence area identification can be reduced.

[0017] In S102, based on the mobile phone signaling of the passenger in the territory, the whole-chain travel of the potential cross-border passenger in the territory is obtained through a residence area pre-identification algorithm. The residence area pre-identification algorithm is used to identify the residence area of the cross-border passenger in the territory in a day based on the base station mobile phone signaling. Mobile phone signaling, that is, mobile communication signaling, is a general term for all control signals in a mobile communication system except voice signals. User signals are transmitted directly from the sender to the receiver through a mobile communication network, while signaling needs to be transmitted between the mobile station, base station, base station control center and mobile switching center of the mobile communication network. Therefore, based on mobile phone signaling, user identity, mobile phone base station location, mobile trajectory, mobile speed, residence time, base station distance and other information can be obtained.

[0018] The residence area pre-identification algorithm is used to identify the residence area of the potential cross-border passenger in a day, and the whole-chain travel trajectory of the passenger is obtained. The residence area pre-identification algorithm can identify the slow-moving behavior and pendulum behavior of the passenger in the residence area based on mobile phone signaling.

[0019] The residence area pre-identification algorithm includes pendulum behavior identification and slow-moving area identification. The pendulum behavior identification is used to identify whether the same coordinate record exists in the potential cross-border passenger in a predetermined time range or in a predetermined number of continuous signaling records. The slow-moving area identification is used to determine whether it is a slow-moving / stationary residence area according to the spatial distance of the signaling record and the moving speed of the signaling record after removing the base station drift point.

[0020] The residence area pre-identification is based on the signaling data of the potential passenger in the territory. The residence area identification includes pendulum behavior identification and slow-moving area identification. The pendulum behavior identification is generally the form of signaling record when the user stays in a small range (such as a cell, a residential building, an office building, etc.). The slow-moving area identification is generally the form of signaling record when the user moves in a large range (such as an industrial park, an exhibition center, a large commercial area, etc.).

[0021] The pendulum behavior recognition needs to traverse all signaling records of a user in a day, find a certain number of signaling records (such as more than 3), and obtain whether there is a record with the same coordinates within a certain time threshold (for example, 1 hour) or a certain number of records (for example, 6 records) after each record. If yes, record the coordinate position and mark the residence area.

[0022] The slow-moving area recognition needs to clear the drift points in the base station, recalculate the spatial distance and speed of the passenger before and after the removal of the drift points, and judge whether the spatial distance of the passenger in the current signaling record is less than 1.5km (considering that the base station coverage diameter is about 500-1500m) and the moving speed is less than 3m / s (considering that the walking speed of a person is about 0.7-1.5m / s, when the base station switches, it produces instantaneous switching), which can be determined as a slow-moving / stagnant residence area.

[0023] In this embodiment, it is considered that the residence area recognition may exist two kinds of residence behaviors at the same time, for example, the combination of shopping and eating in a large commercial center. The residence results calculated by the pendulum behavior recognition and the slow-moving area recognition are combined in the widest time range to determine the final residence time range, that is, the time when the user enters the residence behavior , the time when the user leaves the residence behavior , the time set of the residence records for the slow-moving area recognition, , the time set of the residence records for the pendulum recognition, .

[0024] S103, constructing a residence mathematical model, filtering the most reliable residence point in the port / airport as the cross-border entry and exit point through the residence mathematical model, and determining the cross-border entry and exit point position; The residence mathematical model is used to represent the reliability of the residence point as the cross-border entry and exit point through a mathematical formula, which can calculate the reliability of the residence area as the cross-border entry and exit point based on time and space dimensions.

[0025] The determination of the cross-border starting point (entry and exit point) depends on the space-time position of the passenger not in the terminal, and a mathematical model related to time and space between non-air residence area records and aviation area records can be constructed to determine the cross-border entry and exit point position.

[0026] Among them, the residence mathematical model representing time and space is constructed respectively, and the time reliability and space reliability are calculated according to the residence mathematical model respectively; The total reliability index is calculated based on the time reliability and the space reliability; Set a reliability threshold, and filter the largest point in the total reliability index value as the cross-border entry and exit point according to the reliability threshold.

[0027] Optionally, the constructing the resident mathematical model representing time and space respectively comprises: The resident mathematical model representing time is expressed as:

[0028] In the formula, represents the time credibility, and t represents the proportion of the resident time to the set value; The resident mathematical model representing space is expressed as:

[0029] In the formula, represents the space credibility, and d represents the proportion of the base station distance to the set value.

[0030] The resident mathematical model representing time is less credible as the time interval is longer, and the mathematical expression is In the formula, t is the proportion to the preset time, such as the proportion to 1200 seconds; the resident mathematical model representing space is less credible as the distance is longer, and the mathematical expression is In the formula, is the proportion to the preset distance, such as the proportion to 1.5 km. The value range of the resident mathematical model constructed above is , and when the variable is 0, the index value is 1, and they are all decreasing functions. The value range of the total credibility index is also , and it is a decreasing function. In some embodiments, such as Figure 2 , when and , it is about 0.35. This value can be set as the credibility threshold of the interval record and the record outside the front and rear intervals, and the point with the maximum credible index value is screened out as the cross-border entry and exit point.

[0031] S104, distinguishing the entry and exit behavior of the cross-border passenger according to the resident time of the cross-border passenger at the port / airport and the signal disappearance feature of the mobile phone; According to the resident time of the cross-border passenger at the port / airport and the signal disappearance time of the mobile phone, it is judged whether the passenger is outbound or inbound.

[0032] Among them, the resident time of the passenger at the port / airport and the signal disappearance time interval are obtained based on the mobile phone signal; When the resident time is within the preset threshold range and there is a signal disappearance behavior after the resident time for a preset time interval, it is determined that the behavior is inbound; When the resident time is within the preset threshold range and there is a signal disappearance behavior before the resident time for a preset time interval, it is determined that the behavior is outbound.

[0033] Because the scope of the port and the airport is different, and according to the field investigation, in recent years, due to the optimization of the management mode of the port, the port passenger clearance efficiency is greatly improved, and the clearance time during the flat peak can be within 10 minutes from entering the port building to the other side, so the residence threshold of the port can be set to 10 minutes, and the residence threshold of the airport can be set to 40 minutes according to the airport check-in regulations. At the same time, the judgment of the disappearance characteristics of mobile phone signaling is increased to distinguish the cross-border crowd, and two cases are distinguished: when the port / airport is the destination of OD, there is a signal disappearance behavior of at least 3 hours / 8 hours after the port / airport record; when the port / airport is the departure place of OD, there is a signal disappearance behavior of at least 3 hours / 8 hours before the port / airport record.

[0034] S105, the cross-border passenger's whole-chain travel in the territory, the cross-border entry and exit point position and the entry and exit behavior are combined to construct a cross-border crowd travel chain.

[0035] According to the cross-border entry and exit point position, the whole-chain travel in the territory and the entry and exit behavior of the cross-border passenger, the travel chain before the passenger's departure and the travel chain after the passenger's entry can be obtained.

[0036] In this embodiment, the passenger travel chain is analyzed based on the cross-border passenger mobile phone signaling, and the passenger entry and exit behavior is distinguished. Compared with the traditional artificial sampling investigation, the implementation method is simple, the investigation efficiency is high, and the coverage range of the investigation time and space can be effectively improved, and the accuracy and reliability of the investigation are guaranteed. At the same time, it has important reference value for optimizing the structure and layout of urban facilities.

[0037] In one embodiment, as shown in Figure 3 , the slow-moving area identification drift point identification algorithm can be divided into a triangular relationship method and a cosine algorithm.

[0038] In the triangular relationship method, the drift point in the base station is identified according to the triangular relationship between the positions of the three base stations in the signaling record. As shown in Figure 3 , the speed of base station B and the two base stations A and C before and after (i.e. the moving speed of the passenger relative to the base station) is calculated, the speed between base station B and base station A and C is AB and BC, and the speed of base station A and C is AC; when AB / AC>=1.4 and BC / AC>=1.4, it is judged that B is a far-flying base station, the position record of base station B is removed, and the lingering time of base station A and base station B is combined as the lingering time of the first base station A.

[0039] In the cosine algorithm, the drift point in the base station is identified according to the cosine angle formed between the positions of the three base stations in the signaling record. As shown in Figure 3For the base station switching sequence on the figure, base station E > base station F > base station G, if the angle EFG is less than 30 degrees, the F is judged as a far-off base station, and the position record of the base station F is removed. The stay duration of the base station E and the base station F is combined as the stay duration of the first base station E.

[0040] The embodiment can effectively improve the accuracy of the identification of the slow-moving stay area based on the identification and removal of the base station drift point, and further improve the accuracy of the identification of the cross-border travel chain.

[0041] It should be understood that the sequence numbers in the above embodiments do not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

[0042] Figure 4 A structure diagram of a cross-border passenger travel chain identification system provided by the embodiment of the present application is shown in the figure, and the system comprises: A passenger screening module 410 is configured to screen the base stations of the port / airport based on the base station position information, and to preliminarily screen the potential cross-border passengers according to the screened port / airport base stations; A stay area identification module 420 is configured to obtain the full-chain travel of the potential cross-border passengers in the territory based on the mobile phone signaling of the passengers in the territory, by using a stay area pre-identification algorithm, wherein the stay area pre-identification algorithm is configured to identify the stay area of the cross-border passengers in the territory for one day based on the mobile phone signaling of the base stations. The stay area pre-identification algorithm comprises pendulum behavior identification and slow-moving area identification. The pendulum behavior identification is configured to identify whether there are the same coordinate records in a predetermined time range or in a predetermined number of continuous signaling records. The slow-moving area identification is configured to determine whether it is a slow-moving / stay stay area according to the spatial distance of the signaling records and the moving speed of the signaling records after removing the base station drift point.

[0043] In one embodiment, the removing of the base station drift point comprises: The drift point in the base station is identified according to the triangular relationship among the positions of the three continuous base stations in the signaling records.

[0044] In one embodiment, the removing of the base station drift point further comprises: The drift point in the base station is identified according to the cosine angle formed among the positions of the three continuous base stations in the signaling records. A cross-border point screening module 430 is configured to construct a stay mathematical model, to screen the stay point with the highest credibility in the port / airport as the cross-border entry / exit point by using the stay mathematical model, and to determine the position of the cross-border entry / exit point. The time and space resident mathematical models are respectively constructed, the time credibility and the space credibility are respectively calculated according to the resident mathematical models, the total credibility index is calculated based on the time credibility and the space credibility, and the maximum point in the total credibility index value is screened as the cross-border entry and exit point according to the credibility threshold.

[0045] The time resident mathematical model is expressed as:

[0046] In the formula, The time credibility is represented by t, and t represents the ratio of the resident time to the set value. The space resident mathematical model is expressed as:

[0047] In the formula, The space credibility is represented by d, and d represents the ratio of the base station distance to the set value.

[0048] The entry and exit judgment module 440 is used for distinguishing the entry and exit behavior of the cross-border passenger according to the stay time of the cross-border passenger at the port / airport and the signal disappearance feature of the mobile phone signaling. Optionally, the entry and exit judgment module 440 comprises: The data extraction unit is used for acquiring the stay time of the passenger at the port / airport and the signal disappearance time interval based on the mobile phone signaling. The entry judgment unit is used for judging the entry behavior when the stay time is within the preset threshold range and the signal disappearance behavior exists in the preset time interval after the stay. The exit judgment unit is used for judging the exit behavior when the stay time is within the preset threshold range and the signal disappearance behavior exists in the preset time interval before the stay.

[0049] The travel chain construction module 450 is used for combining the whole-chain travel of the cross-border passenger in the territory, the cross-border entry and exit point position and the entry and exit behavior to construct the cross-border passenger travel chain.

[0050] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and the module described above can refer to the corresponding process in the foregoing method embodiments, and will not be described here.

[0051] Figure 5 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. The electronic device is used for cross-border passenger travel chain identification. Figure 5 As shown in the figure, the electronic device 5 of this embodiment comprises a memory 510, a processor 520 and a system bus 530, the memory 510 comprises a program 5101 stored thereon which can be run, and those skilled in the art can understand that,Figure 5 The electronic device structure shown in the figure is not a limitation on the electronic device, and can include more or fewer components than shown, or combine certain components, or different component arrangements.

[0052] The following will be described in detail Figure 5 The various components of the electronic device will be described in detail: The memory 510 can be used to store software programs and modules, and the processor 520 executes various function applications and data processing of the electronic device by running the software programs and modules stored in the memory 510. The memory 510 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playing function, an image playing function, etc.), etc.; the data storage area can store data (such as cache data) created according to the use of the electronic device, etc. In addition, the memory 510 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage device.

[0053] The executable program 5101 containing the network request method in the memory 510, the executable program 5101 can be divided into one or more modules / units, the one or more modules / units are stored in the memory 510 and executed by the processor 520 to realize cross-border passenger travel chain identification, etc., the one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 5101 in the electronic device 5. For example, the computer program 5101 can be divided into a passenger screening module, a residence area identification module, a cross-border point screening module, an entry and exit judgment module, and a travel chain construction module, etc.

[0054] The processor 520 is the control center of the electronic device, connects all parts of the electronic device through various interfaces and lines, executes the software programs and / or modules stored in the memory 510, and calls the data stored in the memory 510, executes various functions and processes data of the electronic device, and monitors the overall state of the electronic device. Optionally, the processor 520 can include one or more processing units; preferably, the processor 520 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 520.

[0055] The system bus 530 is used to connect the internal functional components of the computer, and can transmit data information, address information and control information, and can be, for example, a PCI bus, an ISA bus, a CAN bus and the like. The instructions of the processor 520 are transmitted to the memory 510 through the bus, and the memory 510 feeds back data to the processor 520, and the system bus 530 is responsible for the interaction of data and instructions between the processor 520 and the memory 510. Of course, the system bus 530 can also access other devices, such as network interfaces, display devices and the like.

[0056] In the embodiments of the present application, the executable programs executed by the processor 520 included in the electronic device include: Filtering the base stations of the port / airport based on the base station position information, and performing preliminary screening on the potential cross-border passengers according to the filtered port / airport base stations; Based on the mobile phone signaling of the passengers staying in the country, the whole-chain travel of the potential cross-border passengers in the country is obtained through the stay area pre-identification algorithm, and the stay area pre-identification algorithm is used to identify the stay area of the cross-border passengers in the country for one day based on the mobile phone signaling of the base station. Constructing a stay mathematical model, filtering the most credible stay point in the port / airport as the cross-border entry and exit point through the stay mathematical model, and determining the position of the cross-border entry and exit point; According to the stay time of the cross-border passengers in the port / airport and the mobile phone signaling disappearance feature, the entry and exit behavior of the cross-border passengers is distinguished; Combining the whole-chain travel of the cross-border passengers in the country, the position of the cross-border entry and exit point, and the entry and exit behavior to construct a cross-border population travel chain.

[0057] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device and module can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0058] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in a certain embodiment can be referred to the related description of other embodiments.

[0059] The above-described and the above-described embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for identifying a cross-border passenger travel chain, characterized in that, The method comprises the following steps: Screening the base stations of the port / airport based on the base station location information, and preliminarily screening the potential cross-border passengers according to the screened port / airport base stations; Obtaining the whole-chain travel of the potential cross-border passengers in the country by a stay area pre-identification algorithm based on the mobile phone signaling of the passengers staying in the country, the stay area pre-identification algorithm being used for identifying the stay area of the cross-border passengers in the country in one day based on the mobile phone signaling of the base stations; Constructing a stay mathematical model, and screening the stay point with the highest credibility in the port / airport as the cross-border entry and exit point by the stay mathematical model, and determining the location of the cross-border entry and exit point; Distinguishing the entry and exit behaviors of the cross-border passengers according to the stay time of the cross-border passengers in the port / airport and the signal disappearance characteristic; Combining the whole-chain travel of the cross-border passengers in the country, the location of the cross-border entry and exit point and the entry and exit behaviors to construct a cross-border population travel chain.

2. The method of claim 1, wherein, The stay area pre-identification algorithm comprises pendulum behavior identification and slow-moving area identification; The pendulum behavior identification is used for identifying the same coordinate record in a predetermined time range or in a predetermined number of continuous signaling records. The slow-moving area identification is used for judging whether it is a slow-moving / stagnant stay area according to the spatial distance of the signaling record and the moving speed of the signaling record after removing the base station drift point.

3. The method of claim 2, wherein, The removing of the base station drift point comprises: Identifying the drift point in the base station according to the triangular relationship between the positions of the three continuous base stations in the signaling record.

4. The method of claim 2, wherein, The removing of the base station drift point comprises: Identifying the drift point in the base station according to the cosine angle formed by the positions of the three continuous base stations in the signaling record.

5. The method of claim 1, wherein, The constructing of the stay mathematical model and the screening of the stay point with the highest credibility in the port / airport as the cross-border entry and exit point by the stay mathematical model comprise: Respectively constructing the stay mathematical models representing time and space, and respectively calculating the time credibility and the space credibility according to the stay mathematical models; Calculating the total credibility index based on the time credibility and the space credibility; Setting a credibility threshold, and screening the point with the maximum value in the total credibility index value as the cross-border entry and exit point according to the credibility threshold.

6. The method of claim 5, wherein, The respectively constructing of the stay mathematical models representing time and space comprises: Expressing the stay mathematical model representing time as: In the formula, wherein t represents the time credibility, and t represents the ratio of the residence time to the set value. Expressing the stay mathematical model representing space as: In the formula, represents the spatial trustworthiness, d represents the ratio of the base station distance to the set value.

7. The method of claim 1, wherein, The distinguishing of the entry and exit behaviors of the cross-border passengers according to the stay time of the cross-border passengers in the port / airport and the signal disappearance characteristic comprises: Obtaining the stay time of the passengers in the port / airport and the signal disappearance time interval based on the mobile phone signaling; When the stay time is within a predetermined threshold range and there is a signal disappearance behavior with a predetermined time interval after the stay, the entry behavior is determined; When the stay time is within a predetermined threshold range and there is a signal disappearance behavior with a predetermined time interval before the stay, the exit behavior is determined. 8.A cross-border passenger travel chain identification system, characterized in that, The method comprises the following steps: A passenger screening module is used for screening the base stations of the port / airport based on the base station location information, and preliminarily screening the potential cross-border passengers according to the screened port / airport base stations; A stay area identification module is used for obtaining the whole-chain travel of the potential cross-border passengers in the country by a stay area pre-identification algorithm based on the mobile phone signaling of the passengers staying in the country, the stay area pre-identification algorithm being used for identifying the stay area of the cross-border passengers in the country in one day based on the mobile phone signaling of the base stations; The cross-border point screening module is configured to construct a resident mathematical model, screen a most credible resident point in an exit port / airport as a cross-border entry and exit point through the resident mathematical model, and determine a cross-border entry and exit point position; The entry and exit judgment module is configured to distinguish entry and exit behaviors of the cross-border passenger according to a stay time of the cross-border passenger in the port / airport and a mobile phone signaling disappearance feature. The travel chain construction module is configured to combine full-chain travel of the cross-border passenger in the country, the cross-border entry and exit point position, and the entry and exit behavior to construct a cross-border passenger travel chain.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor implements the steps of the cross-border passenger travel chain identification method according to any one of claims 1 to 7 when the computer program is executed.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed to implement the steps of the cross-border passenger travel chain identification method according to any one of claims 1 to 7.

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