A cross-border passenger travel chain identification method and system
By filtering base station locations and analyzing mobile phone signaling, the entire travel and entry/exit behavior of cross-border travelers can be identified, solving the problem of limited coverage of traditional survey data and achieving a more efficient and accurate survey of cross-border travel, which has important reference value for urban planning.
Patent Information
- Application Number
- CN202511417940.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-30
- Publication Date
- 2025-12-26
- Estimated Expiration
- 2045-09-30
AI Technical Summary
Traditional cross-border travel surveys have limited coverage, constrained by labor costs, time, and space limitations, resulting in incomplete and inaccurate data.
By screening potential cross-border travelers based on base station location information, and using mobile signaling-based stay area pre-identification algorithms and stay mathematical models, the entire travel chain of cross-border travelers can be identified, distinguishing between entry and exit behaviors and constructing cross-border travel chains.
It improves the accuracy and data coverage of cross-border travel surveys, reduces survey costs, increases survey efficiency, and enables better optimization of urban infrastructure layout.
Smart Images

Figure CN120916117B_ABST
Abstract
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 the departure place before customs clearance of cross-border passengers (cross-border and air passengers) is an important research content for exploring cross-border tourists. This 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 land and air cross-border is mainly based on on-site investigation by people. The investigation is carried out on a typical working day, a rest day, and a holiday, 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 the labor cost, and the time and space range covered by the data sampling survey 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 survey data.
[0005] In a first aspect of the embodiments of the present application, a cross-border passenger travel chain identification method is provided, comprising:
[0006] Filtering the base stations of the port of exit / airport based on the base station location information, and preliminarily screening potential cross-border passengers according to the filtered port of exit / airport base stations;
[0007] Based on the mobile phone signaling of the passengers when staying in the country, the full-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;
[0008] A stay mathematical model is constructed, the most credible stay point in the port of exit / airport is selected as the cross-border entry and exit point through the stay mathematical model, and the position of the cross-border entry and exit point is determined;
[0009] According to the stay time of the cross-border passengers at the port of exit / airport and the mobile phone signaling disappearance feature, the entry and exit behaviors of the cross-border passengers are distinguished;
[0010] The full-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 of the cross-border passengers are combined to construct a cross-border population travel chain.
[0011] In a second aspect of the embodiments of the present application, a cross-border passenger travel chain identification system is provided, comprising:
[0012] The passenger screening module is used for screening 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 screened port / airport base stations.
[0013] The residence area identification module is used for obtaining the whole-chain travel of the potential cross-border passengers in the country by a residence area pre-identification algorithm based on the mobile phone signaling of the passengers when staying in the country, and the residence area pre-identification algorithm is used for identifying the residence area of the cross-border passengers in the country in one day based on the mobile phone signaling of the base stations.
[0014] The cross-border point screening module is used for constructing a residence mathematical model, screening the residence point with the highest credibility in the port / airport as the cross-border entry and exit point by the residence mathematical model, and determining the position of the cross-border entry and exit point.
[0015] The entry and exit judgment module is used for distinguishing the entry and exit behavior of the cross-border passengers according to the staying time of the cross-border passengers in the port / airport and the mobile phone signaling disappearance feature.
[0016] The travel chain construction module is used for 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, and constructing the travel chain of the cross-border crowd.
[0017] In a third aspect, the embodiment of the present application provides an electronic device, including 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 embodiment of the present application when executing the computer program.
[0018] In a fourth aspect, the embodiment of the present application provides a computer readable storage medium, 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 embodiment of the present application.
[0019] In the embodiment of the present application, based on the mobile phone signaling of the cross-border passengers, the whole-chain travel of the cross-border passengers in the country is analyzed and identified by a residence area pre-identification algorithm, the cross-border entry and exit point position with the highest credibility is screened by a residence mathematical model, and the entry and exit behavior of the cross-border passengers is distinguished, so that compared with the traditional sampling investigation, the accuracy of the cross-border passenger travel investigation can be improved, the coverage range of the investigation data can be increased, the time and space coverage requirements can be met, the investigation and analysis method is simple and easy to implement, the analysis and investigation efficiency of the cross-border passengers can be effectively improved, and the investigation cost can be reduced. BRIEF DESCRIPTION OF DRAWINGS
[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings described below only represent some of the embodiments of the present application, and other drawings can be obtained by those of ordinary skill in the art without any creative effort based on these drawings.
[0021] Figure 1 A flowchart of a cross-border passenger travel chain identification method provided by an embodiment of the present application is shown in the figure.
[0022] Figure 2 A residence point credibility diagram provided by an embodiment of the present application is shown in the figure.
[0023] Figure 3 A base station drift point diagram provided by an embodiment of the present application is shown in the figure.
[0024] Figure 4 A structural diagram of a cross-border passenger travel chain identification system provided by an embodiment of the present application is shown in the figure.
[0025] Figure 5 A structural diagram of an electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION
[0026] In order 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 in combination with the drawings of the embodiments of the present application. Obviously, the embodiments described below only represent some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without any creative effort fall within the scope of the present application.
[0027] It should be understood that the terms "include" and other similar terms in the specification or claims of the present application and the above-mentioned drawings mean covering non-exclusive inclusion, such as a process, method or system, device including a series of steps or units, which is not limited to the listed steps or units. In addition, "first", "second" are used to distinguish different objects, and are not used to describe a specific order.
[0028] Please refer to Figure 1 A flowchart of a cross-border passenger travel chain identification method provided by an embodiment of the present application is shown in the figure.
[0029] S101, 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.
[0030] 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, building name where the base station is located, and the like. According to the base station position or the building where the base station is located, the base station belonging to the port / airport can be screened out.
[0031] 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 occupies only less than 0.03 km2 of the port security building. Therefore, when screening the base station, all the airport-related base stations can be used for the airport base station, and the port building is taken as the center, and the surrounding cross-border vehicle parking lot is used as the basis for preliminary screening by using the name.
[0032] According to the screened port / airport base station, the possible cross-border passengers are preliminarily screened, and it is identified whether each user has a connection with the screened port / airport base station in a day. If there is a record of the port / airport base station, it can be marked as a possible cross-border passenger. For the mobile terminal user who lives or works nearby or the passenger who travels in the surrounding area and connects the corresponding base station, it can also be marked. Here, only after the possible passengers are preliminarily screened, the calculation amount of the subsequent residence area identification can be reduced.
[0033] S102, based on the mobile phone signaling of the passengers in the territory, the whole-chain travel of the potential cross-border passengers in the territory is obtained by a residence area pre-identification algorithm, and the residence area pre-identification algorithm is used for identifying the residence area of the cross-border passengers in the territory in a day based on the mobile phone signaling of the base station;
[0034] The mobile phone signaling is the total of all control signals in the mobile communication system except the voice signal. The user signal is directly transmitted from the sender to the receiver through the mobile communication network, while the signaling needs to be transmitted between the mobile station, the base station, the base station control center and the mobile switching center of the mobile communication network. Therefore, based on the mobile phone signaling, the user identity, the mobile phone base station position, the mobile trajectory, the mobile speed, the residence time, the base station distance and the like can be obtained.
[0035] The residence area of the potential cross-border passengers in a day is identified by the residence area pre-identification algorithm, and the whole-chain travel trajectory of the passengers is obtained. The residence area pre-identification algorithm can identify the slow-moving behavior and the pendulum behavior in the residence area of the passengers based on the mobile phone signaling.
[0036] The residence area pre-identification algorithm includes pendulum behavior identification and slow-moving area identification.
[0037] The pendulum behavior identification is used for identifying that the same coordinate record exists in a predetermined time range or in a predetermined number of continuous signaling records.
[0038] 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.
[0039] The residence area pre-identification is based on the signaling data of potential passengers in the country, and the residence area identification is divided into pendulum behavior identification and slow-moving area identification. The pendulum behavior identification is generally the form of signaling record when the user resides in a small range (such as a cell, a residential building, an office building, etc.), and 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.).
[0040] The pendulum behavior identification 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.
[0041] The slow-moving area identification needs to remove the drift point in the base station, recalculate the spatial distance and speed of the passenger before and after removing the drift point, and determine whether the spatial distance of the passenger in the current signaling record is less than 1.5 km (considering that the base station coverage diameter is about 500-1500 m) and the moving speed is less than 3 m / s (considering that the walking speed of a person is about 0.7-1.5 m / s, and when the base station switches, it produces instantaneous switching), which can be determined as a slow-moving / stationary residence area.
[0042] In this embodiment, it is considered that the residence area identification may exist two kinds of residence behaviors at the same time, for example, shopping and eating in a large commercial center are combined, the residence results calculated by the pendulum behavior identification and the slow-moving area identification 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 , and the time when the user leaves the residence behavior , is the time set of the residence record of the slow-moving area identification, , is the time set of the residence record of the pendulum identification, .
[0043] S103, construct a residence mathematical model, filter the most reliable residence point in the port / airport as the cross-border entry and exit point through the residence mathematical model, and determine the position of the cross-border entry and exit point;
[0044] 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.
[0045] The determination of the cross-border starting point (entry and exit point) depends on the spatiotemporal position of the passenger not in the terminal, and a mathematical model related to time and space can be constructed between the non-airport stay area record and the airport area record to determine the cross-border entry and exit point position.
[0046] The stay mathematical model representing time and space is respectively constructed, and the time credibility and the space credibility are respectively calculated according to the stay mathematical model;
[0047] The total credibility index is calculated based on the time credibility and the space credibility;
[0048] A credibility threshold is set, and the point with the maximum value of the total credibility index is selected as the cross-border entry and exit point according to the credibility threshold.
[0049] Optionally, the stay mathematical model representing time and space is respectively constructed, and the time credibility and the space credibility are respectively calculated according to the stay mathematical model;
[0050] The stay mathematical model representing time is expressed as:
[0051]
[0052] In the formula, The time credibility is represented by t, and t represents the proportion of the stay time to the set value;
[0053] The stay mathematical model representing space is expressed as:
[0054]
[0055] In the formula, The space credibility is represented by d, and d represents the proportion of the base station distance to the set value.
[0056] In the stay mathematical model representing time, the longer the time interval is, the less credible it is, and the mathematical expression is In the formula, t is the proportion of the preset time, such as the proportion of 1200 seconds; in the stay mathematical model representing space, the farther the distance is, the less credible it is, and the mathematical expression is In the formula, is the proportion of the distance to the preset distance, such as the proportion of 1.5 km. The value range of the stay 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 value of the credibility index is selected as the cross-border entry and exit point.
[0057] S104, distinguishing the entry and exit behaviors 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;
[0058] According to the stay 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 out of the country or enters the country.
[0059] Among them, the stay time of the passenger at the port / airport and the signal disappearance time interval are obtained based on the mobile phone signal;
[0060] When the stay time is within the preset threshold range and there is a signal disappearance behavior with a preset time interval after staying, it is determined that the behavior is entry;
[0061] When the stay time is within the preset threshold range and there is a signal disappearance behavior with a preset time interval before staying, it is determined that the behavior is exit.
[0062] 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 customs clearance efficiency of the port passenger has been greatly improved, and the customs clearance time during the flat peak can be within 10 minutes from entering the port building to the other side, so the stay threshold of the port can be set to 10 minutes, and the stay threshold of the airport can be set to 40 minutes according to the airport check-in regulations. At the same time, the discrimination of the mobile phone signal disappearance feature is added to distinguish the cross-border population, which is divided into two cases: when the port / airport is the destination of OD, there is a signal disappearance behavior with a minimum of 3 hours / 8 hours after the record at the port / airport; When the port / airport is the departure place of OD, there is a signal disappearance behavior with a minimum of 3 hours / 8 hours before the record at the port / airport.
[0063] S105, combining the 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 population travel chain.
[0064] According to the cross-border entry and exit point position of the cross-border passenger, the full-chain travel in the country, and the entry and exit behavior, the travel chain before the passenger exits and the travel chain after the passenger enters can be obtained.
[0065] In this embodiment, the travel chain of the passenger is analyzed based on the mobile phone signal of the cross-border passenger, and the entry and exit behaviors of the passenger are distinguished. Compared with the traditional manual 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.
[0066] In one embodiment, as shown in FIG. 1, the coasting zone identification algorithm can be divided into a triangular relationship method and a cosine algorithm. Figure 3
[0067] In the triangle relationship method, drift points in the base stations are identified according to the triangle relationship between the positions of three base stations in the signaling records. Figure 3 According to the speeds of the base station B and the two base stations A and C before and after the base station B (i.e. the moving speed of the passenger relative to the base station), the speeds between the base station B and the base stations A and C are AB and BC, and the speed between the base stations A and C is AC. When AB / AC>=1.4 and BC / AC>=1.4, it is determined that B is a drift base station, the position record of the base station B is removed, and the stay duration of the base station A and the base station B is combined as the stay duration of the first base station A.
[0068] In the cosine algorithm, drift points in the base stations are identified according to the cosine angle formed between the positions of three base stations in the signaling records. Figure 3 For the base station switching sequence of base station E>base station F>base station G on the graph, if the angle EFG is less than 30 degrees, it is determined that F is a drift 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.
[0069] The embodiment based on the identification and removal of the drift points of the base stations can effectively improve the accuracy of the identification of the slow-moving stay area, and further improve the accuracy of the identification of the cross-border travel chain.
[0070] It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of the processes should be determined according to the functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0071] Figure 4 A structure schematic 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:
[0072] 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.
[0073] A stay area identification module 420 is configured to obtain the full-chain travel of the potential cross-border passengers in the country based on the mobile phone signaling of the passengers in the country, by using a stay area pre-identification algorithm.
[0074] The stay area pre-identification algorithm comprises pendulum behavior identification and slow-moving area identification.
[0075] 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.
[0076] The buffer area identification is used to determine whether it is a buffer area or a parking 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.
[0077] In one embodiment, the removing the base station drift point comprises:
[0078] The drift point in the base station is identified according to the triangular relationship among the positions of three continuous base stations in the signaling record.
[0079] In one embodiment, the removing the base station drift point further comprises:
[0080] The drift point in the base station is identified according to the cosine angle formed among the positions of three continuous base stations in the signaling record.
[0081] The cross-border point screening module 430 is configured to construct a parking mathematical model, screen a cross-border entry and exit point with the highest credibility in the port / airport as the cross-border entry and exit point through the parking mathematical model, and determine the position of the cross-border entry and exit point.
[0082] The parking mathematical model representing time and space is constructed respectively, the time credibility and the space credibility are calculated according to the parking mathematical model respectively, the total credibility index is calculated based on the time credibility and the space credibility, the cross-border entry and exit point is screened as the point with the maximum value in the total credibility index value according to the credibility threshold.
[0083] Optionally, the parking mathematical model representing time is expressed as:
[0084]
[0085] In the formula, The time credibility is represented, and t represents the proportion of the parking time to the set value.
[0086] The parking mathematical model representing space is expressed as:
[0087]
[0088] In the formula, The space credibility is represented, and d represents the proportion of the base station distance to the set value.
[0089] The entry and exit judgment module 440 is configured to distinguish the entry and exit behavior of the cross-border passenger according to the parking time of the cross-border passenger in the port / airport and the signal disappearance feature of the mobile phone signaling.
[0090] Optionally, the entry and exit judgment module 440 comprises:
[0091] The data extraction unit is configured to obtain the parking time of the passenger in the port / airport and the signal disappearance time interval based on the mobile phone signaling.
[0092] The entry discrimination unit is used for judging the entry behavior when the staying time is within the preset threshold range and the signal disappearance behavior exists in the preset time interval after the staying.
[0093] The exit discrimination unit is used for judging the exit behavior when the staying time is within the preset threshold range and the signal disappearance behavior exists in the preset time interval before the staying.
[0094] 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, and constructing the cross-border crowd travel chain.
[0095] 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, which will not be repeated here.
[0096] 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. As shown in the figure, Figure 5 The electronic device 5 of this embodiment includes a memory 510, a processor 520 and a system bus 530, the memory 510 includes a runnable program 5101 stored thereon, and those skilled in the art can understand that, Figure 5 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.
[0097] The following will be specifically introduced in combination with Figure 5 the various constituent components of the electronic device:
[0098] The memory 510 can be used for storing software programs and modules, and the processor 520 performs various functional 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.) and the like; the data storage area can store data (such as cache data) created according to the use of the electronic device and the like. In addition, the memory 510 can include a high-speed random access memory, and can also include a non-volatile memory, for example, at least one magnetic disk storage device, a flash memory device or other volatile solid-state storage device.
[0099] The executable program 5101 containing the network request method is stored in the memory 510, and the executable program 5101 can be divided into one or more modules / units stored in the memory 510 and executed by the processor 520 to realize cross-border passenger travel chain identification and the like. 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, a travel chain construction module and the like.
[0100] The processor 520 is the control center of the electronic device, connects all parts of the electronic device through various interfaces and lines, executes various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory 510 and calling data stored in the memory 510, and thus 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 operating systems, application programs and the like, 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.
[0101] 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 its types can be, for example, PCI bus, ISA bus, 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.
[0102] In the embodiment of the application, the executable program executed by the processor 520 included in the electronic device comprises:
[0103] Screening the base station of the port / airport based on the base station position information, and preliminarily screening the potential cross-border passenger according to the screened port / airport base station;
[0104] 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, and the residence area pre-identification algorithm is used to identify the residence area of the cross-border passenger in the territory for one day based on the mobile phone signaling of the base station.
[0105] A resident mathematical model is constructed, the most reliable resident point in the port / airport is screened as the cross-border entry and exit point through the resident mathematical model, and the cross-border entry and exit point position is determined;
[0106] The entry and exit behavior of the cross-border passenger is distinguished according to the residence time of the cross-border passenger in the port / airport and the mobile phone signaling disappearance feature;
[0107] 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 population travel chain.
[0108] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and module described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.
[0109] In the foregoing 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 relevant description of other embodiments.
[0110] The foregoing embodiments are only used to illustrate the technical solutions of the present application, rather than limit the same. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent features. Such modifications or replacements do not make 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; 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, which is used to identify the stay area of the cross-border passengers in the country in one day based on the mobile phone signaling of the base station; The stay area pre-identification algorithm comprises pendulum behavior identification and slow-moving area identification; The pendulum behavior identification is used to identify the same coordinate record of the cross-border passengers within 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 / 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; A stay mathematical model is constructed to screen the most reliable stay point in the port / airport as the cross-border entry and exit point, and determine the position of the cross-border entry and exit point; The stay mathematical model representing time and space is constructed respectively, and the time reliability and the space reliability are calculated according to the stay mathematical model; The total reliability index is calculated based on the time reliability and the space reliability; A reliability threshold is set, and the largest point in the total reliability index value is screened as the cross-border entry and exit point according to the reliability threshold; The stay mathematical model representing time and space is constructed respectively, and the time reliability and the space reliability are calculated according to the stay mathematical model; The stay mathematical model representing time is expressed as: In the formula, wherein t represents the time credibility, and t represents the ratio of the residence time to the set value. The stay mathematical model representing space is expressed as: In the formula, represents the spatial credibility, d represents the ratio of the base station distance to the set value; The entry and exit behavior of the cross-border passengers is distinguished according to the stay time of the cross-border passengers in the port / airport and the mobile phone signaling disappearance characteristics; 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 are combined to construct the cross-border population travel chain.
2. The method of claim 1, wherein, The removal of the base station drift point comprises: The drift point in the base station is identified according to the triangular relationship between the positions of the three continuous base stations in the signaling record.
3. The method of claim 1, wherein, The removal of the base station drift point comprises: The drift point in the base station is identified according to the cosine angle formed by the positions of the three continuous base stations in the signaling record.
4. The method of claim 1, wherein, The entry and exit behavior of the cross-border passengers is distinguished according to the stay time of the cross-border passengers in the port / airport and the mobile phone signaling disappearance characteristics; The stay time of the passengers in the port / airport and the signal disappearance time interval are obtained based on the mobile phone signaling; When the stay time is within the preset threshold range and there is a signal disappearance behavior with a preset time interval after the stay, it is determined as an entry behavior; When the stay time is within the preset threshold range and there is a signal disappearance behavior with a preset time interval before the stay, it is determined as an exit behavior. 5.A cross-border passenger travel chain identification system, characterized in that, The method comprises the following steps: A passenger screening module is used to screen the base stations of the port / airport based on the base station location information, and preliminarily screen the potential cross-border passengers according to the screened port / airport base stations; A stay area identification module is used to obtain the whole chain travel of the potential cross-border passengers in the country based on the mobile phone signaling of the passengers staying in the country through the stay area pre-identification algorithm, which is used to identify the stay area of the cross-border passengers in the country in one day based on the mobile phone signaling of the base station; The stay area pre-identification algorithm comprises pendulum behavior identification and slow-moving area identification; The pendulum behavior identification is used to identify that the same coordinate record exists in a predetermined time range or in an interval of a predetermined number of continuous signaling records of the cross-border passenger; The slow-moving area identification is used to determine whether it is a slow-moving / stagnant area according to the spatial distance of the signaling record and the moving speed of the signaling record after the base station drift point is cleared; The cross-border point screening module is used to construct a residence mathematical model, screen the most reliable residence point in the port / airport as the cross-border entry and exit point through the residence mathematical model, and determine the position of the cross-border entry and exit point; The residence mathematical model representing time and space is constructed respectively, the time reliability and the space reliability are calculated according to the residence mathematical model representing time and space respectively, the total reliability index is calculated based on the time reliability and the space reliability, the threshold value is set, and the point with the largest value in the total reliability index value is screened as the cross-border entry and exit point according to the threshold value; The residence mathematical model representing time and space is constructed respectively, the time reliability and the space reliability are calculated according to the residence mathematical model representing time and space respectively, the total reliability index is calculated based on the time reliability and the space reliability, the threshold value is set, and the point with the largest value in the total reliability index value is screened as the cross-border entry and exit point according to the threshold value; The residence mathematical model representing time is expressed as: In the formula, wherein t represents the time credibility, and t represents the ratio of the residence time to the set value. The residence mathematical model representing space is expressed as: In the formula, represents the spatial credibility, d represents the ratio of the base station distance to the set value; The entry and exit judgment module is used to distinguish the entry and exit behavior of the cross-border passenger according to the residence time of the cross-border passenger in the port / airport and the mobile phone signaling disappearance feature. The travel chain construction module is used to combine the full-chain travel of the cross-border passenger in the territory, the cross-border entry and exit point position and the entry and exit behavior, and construct the cross-border crowd travel chain.
6. 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 executes the computer program to realize the steps of the cross-border passenger travel chain identification method according to any one of claims 1 to 4.
7. A computer-readable storage medium storing a computer program, wherein the computer program comprises the following steps of: receiving a request for a resource from a client; determining whether the client is authorized to access the resource; and if the client is authorized to access the resource, providing the resource to the client. The computer program is executed to realize the steps of the cross-border passenger travel chain identification method according to any one of claims 1 to 4.
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