CN113438605B - Method and device for identifying passenger flow distribution space distribution of railway station and electronic equipment - Google Patents

Method and device for identifying passenger flow distribution space distribution of railway station and electronic equipment Download PDF

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Publication number
CN113438605B
CN113438605B CN202110996888.9A CN202110996888A CN113438605B CN 113438605 B CN113438605 B CN 113438605B CN 202110996888 A CN202110996888 A CN 202110996888A CN 113438605 B CN113438605 B CN 113438605B
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track
travel
mobile phone
data
base station
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CN113438605A (en
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林涛
于紫娟
杨良
罗钧韶
李强
潘嘉杰
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Shenzhen Urban Transport Planning Center Co Ltd
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Shenzhen Urban Transport Planning Center Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q50/40
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination

Abstract

The invention provides a method and a device for identifying passenger flow distribution space of a track station and electronic equipment, wherein the method for identifying the passenger flow distribution space of the track station comprises the following steps: acquiring mobile phone signaling data of a mobile phone user; carrying out travel identification according to the mobile phone signaling data to determine a travel user from all mobile phone users, and generating a travel track of the travel user according to the mobile phone signaling data; acquiring special track base station information, and determining a track travel track from all travel tracks according to the travel track and the special track base station information, wherein the special track base station information is from base stations arranged along a track traffic line; and determining the passenger flow distribution space distribution of the rail station according to the rail travel track. According to the invention, the passenger flow distribution space of the track station is obtained by the passenger flow distribution space identification method of the track station based on the mobile phone signaling, and an important data basis is provided for track passenger flow analysis and optimized connection layout.

Description

Method and device for identifying passenger flow distribution space distribution of railway station and electronic equipment
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a method for identifying passenger flow distribution space distribution of a track station.
Background
With the continuous development of communication technology and big data technology, the number of mobile phone users is continuously increased, the coverage rate is higher and higher, and mobile phone data is also applied to certain travel analysis. However, in the prior art, travel analysis combined with mobile phone data mainly focuses on identification of a travel mode, and the urban rail travel identification and identification of destination space distribution of rail station passenger flow sources are insufficient, so that corresponding requirements of rail traffic planning and connection analysis cannot be met.
Disclosure of Invention
The invention solves the problems that: how to accurately obtain the passenger flow distribution space distribution of the rail station.
In order to solve the above problems, the present invention provides a method for identifying passenger flow distribution space of a track station, comprising:
acquiring mobile phone signaling data of a mobile phone user;
carrying out travel identification according to the mobile phone signaling data so as to determine a travel user from all the mobile phone users, and generating a travel track of the travel user according to the mobile phone signaling data;
acquiring special track base station information, and determining a track travel track from all the travel tracks according to the travel track and the special track base station information, wherein the special track base station information is from a base station arranged along a track traffic line;
and determining the passenger flow distribution space distribution of the rail station according to the rail travel track.
Optionally, the acquiring the mobile phone signaling data of the mobile phone user includes:
acquiring mobile phone signaling track data of the mobile phone user in a calibration time period, wherein the mobile phone signaling track data comprises a user code, a timestamp and a base station code;
and filtering repeated data and base station position missing data in the mobile phone signaling track data to determine effective track data.
Optionally, the performing, according to the mobile phone signaling data, travel identification includes:
according to the effective track data, determining recording time stamps of the mobile phone users with a preset time threshold value as an interval, and determining activity points of the mobile phone users corresponding to the recording time stamps;
and when the distance between the activity point positions corresponding to the two adjacent recording timestamps of the mobile phone user is greater than a preset distance threshold value, determining that the mobile phone user is the trip user.
Optionally, the determining an orbit travel trajectory from all the travel trajectories according to the travel trajectory and the orbit private base station information includes:
generating a track base station code of the track special base station information according to the track special base station information and the format of the base station code of the mobile phone signaling track data, and constructing a track special base station information table comprising the track base station code;
adding a travel code to the mobile phone signaling track data of the travel user according to the travel track;
and associating the track special base station information table with the mobile phone signaling track data with the trip code, and filtering data which does not contain the track special base station information in the mobile phone signaling track data to obtain the track trip track.
Optionally, the adding a travel code to the mobile phone signaling trajectory data of the travel user includes:
and adding the travel code to the mobile phone signaling track data between the recording time stamp corresponding to the travel starting activity point and the recording time stamp corresponding to the travel ending activity point of the travel user.
Optionally, the determining, according to the track travel trajectory, passenger flow distribution and distribution space distribution of the track station includes:
generating travel data of the track travel user according to the track travel track;
and determining the passenger flow distribution space distribution of the rail station according to the travel data.
Optionally, the generating of the travel data of the track travel user according to the track travel track includes:
screening out effective travel tracks in the track travel tracks;
and generating the travel data comprising travel origin-destination points, travel departure times, travel arrival times, track travel passing stations of the track travel users and the track station departure times and track station arrival times of the track travel users at the track travel passing stations according to the effective travel track.
Optionally, the screening out the effective travel track of the track travel tracks includes:
processing the track travel track by removing weight;
and filtering the track travel track only having a track travel starting station or only having a track travel terminal station to obtain the effective travel track.
In order to solve the above problem, the present invention further provides a device for identifying passenger flow distribution space at a track station, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring mobile phone signaling data of a mobile phone user and acquiring track private base station information;
the calculation and identification unit is used for carrying out travel identification according to the mobile phone signaling data so as to determine a travel user from all the mobile phone users and generating a travel track of the travel user according to the mobile phone signaling data; the system comprises a track special base station, a track travel track, a track selection module and a track selection module, wherein the track selection module is used for selecting a track to be traveled according to the travel track and the track special base station information; and the passenger flow distribution space distribution of the rail station is determined according to the rail travel track.
In order to solve the above problem, the present invention further provides an electronic device, which includes a processor and a memory, where the memory stores a computer program, and the computer program is executed by the processor to implement the method for identifying the passenger flow distribution space distribution of the track station.
Compared with the prior art, the invention has the following beneficial effects: the passenger flow distribution space identification method for the rail station based on the mobile phone signaling is used for obtaining the passenger flow distribution space of the rail station, provides important data basis for rail passenger flow analysis and optimized layout for connection, is beneficial to adjusting departure shift of rail vehicles, improving rail capacity and improving rail running efficiency, has important significance for route planning and capacity allocation of the connected buses and layout and allocation of shared buses, has the advantages of high precision and easiness in popularization, and can be quickly copied and applied in passenger flow distribution analysis of other urban rail stations. In addition, the rail station passenger flow distribution spatial identification method is based on mobile phone signaling, and by acquiring mobile phone signaling data which is large in sample size, high in precision, strong in real-time dynamic property and low in acquisition cost, the reliability and the accuracy of the acquired samples and the rail station passenger flow distribution spatial identification method are guaranteed; compared with manual travel investigation, the rail station passenger flow distribution space distribution identification method reduces implementation (execution) difficulty and cost. By sequentially determining the travel users and the track travel users, the orderly proceeding of the track station passenger flow distribution spatial identification method and the reliability of the final identification result (the passenger flow distribution spatial distribution of the track station) are ensured. By acquiring the special track base station information and screening the track travel track according to the special track base station information and the travel track of the travel user, the accuracy of track travel track identification is guaranteed, and the reliability of a final identification result is improved.
Drawings
FIG. 1 is a flow chart of a method for identifying the distribution of passenger flow distribution in a railway station according to an embodiment of the present invention;
FIG. 2 is a sub-flow diagram of FIG. 1;
FIG. 3 is another sub-flow diagram of FIG. 1;
FIG. 4 is yet another sub-flow diagram of FIG. 1;
FIG. 5 is yet another sub-flow diagram of FIG. 1;
FIG. 6 is a sub-flowchart of FIG. 5;
FIG. 7 is a sub-flowchart of FIG. 6;
fig. 8 is a block diagram of a device for identifying passenger flow distribution in a distributed space of a track station according to an embodiment of the present invention.
Description of reference numerals:
10-an acquisition unit, 20-a calculation identification unit.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Referring to fig. 1, an embodiment of the present invention provides a method for identifying passenger flow distribution space distribution at a track station, including the following steps:
s100, acquiring mobile phone signaling data of a mobile phone user;
step S200, travel identification is carried out according to the mobile phone signaling data so as to determine a travel user from all mobile phone users, and a travel track of the travel user is generated according to the mobile phone signaling data;
step S300, acquiring special track base station information, and determining a track travel track from all travel tracks according to the travel track and the special track base station information, wherein the special track base station information is from base stations arranged along a track traffic line;
and S400, determining passenger flow distribution space distribution of the rail station according to the rail travel track.
Specifically, the method for identifying the passenger flow distribution space of the track station firstly acquires (collects) the mobile phone signaling data of the mobile phone user through step S100, wherein the mobile phone signaling data includes the information of the position information and the corresponding time information when the mobile phone user makes a calling or a called party, receives and sends a short message, turns on or off the mobile phone, switches the cell, and updates the position, and thus, the information of the relatively comprehensive movement track of the mobile phone user is obtained by acquiring the mobile phone signaling data. The obtained mobile phone signaling data is encrypted by an operator, and the method does not relate to the personal privacy of individual mobile phone users. Then, through step S200, travel recognition is performed on the mobile phone users to determine travel users of all the mobile phone users, non-travel users of all the mobile phone users are filtered, and a travel track of the travel users is generated according to mobile phone signaling data of the travel users. Then, in step S300, according to the obtained track private base station information, track trip identification is performed on the trip users and the trip tracks thereof obtained in step S200, so as to determine track trip users among the trip users and determine the track trip tracks of the track trip users, wherein the track private base station information is from base stations arranged along a track traffic route, and the track trip tracks of the track trip users can be obtained by selecting the trip tracks of the trip users with the track private base station information. Finally, through step S400, according to the track travel track and the corresponding travel track of the track travel user, the travel OD (i.e., travel origin-destination) and the track travel passing station of the track travel user can be determined, so as to determine the passenger flow volume and the spatial distribution of the passenger flow source and destination of each track station, obtain the spatial distribution of the passenger flow distribution of the track station, and provide important data basis for the analysis and optimized distribution (transfer) of the track passenger flow; and the corresponding time information is combined, so that the passenger flow distribution space distribution of the railway station at a specific time period can be obtained. The track trip is a trip for taking a rail train such as a subway, a train, an air rail and the like.
Therefore, the passenger flow distribution space identification method for the rail station based on the mobile phone signaling is used for obtaining the passenger flow distribution space of the rail station, provides important data basis for rail passenger flow analysis and optimized layout for connection, is beneficial to adjusting the departure shift of rail vehicles, improving rail capacity and improving rail running efficiency, has important significance for route planning and capacity allocation of the bus to be connected and layout and allocation of shared buses, has the advantages of high precision and easiness in popularization, and can be quickly copied and applied in passenger flow distribution analysis of other urban rail stations. In addition, the rail station passenger flow distribution spatial identification method is based on mobile phone signaling, and by acquiring mobile phone signaling data which is large in sample size, high in precision, strong in real-time dynamic property and low in acquisition cost, the reliability and the accuracy of the acquired samples and the rail station passenger flow distribution spatial identification method are guaranteed; compared with manual travel investigation, the rail station passenger flow distribution space distribution identification method reduces implementation (execution) difficulty and cost. By sequentially determining the travel users and the track travel users, the orderly proceeding of the track station passenger flow distribution spatial identification method and the reliability of the final identification result (the passenger flow distribution spatial distribution of the track station) are ensured. By acquiring the special track base station information and screening the track travel track according to the special track base station information and the travel track of the travel user, the accuracy of track travel track identification is guaranteed, and the reliability of a final identification result is improved.
Optionally, as shown in fig. 1 and fig. 2, step S100 specifically includes the following steps:
step S110, acquiring mobile phone signaling track data of a mobile phone user in a calibration time period, wherein the mobile phone signaling track data comprises a user code, a timestamp and a base station code;
and S120, filtering repeated data and base station position missing data in the mobile phone signaling track data, and determining effective track data.
Specifically, in step S100, firstly, in step S110, mobile phone signaling trajectory data including user codes, timestamps, base station codes, and the like, which are located within a calibration time period (for example, one day) by a mobile phone user, is obtained, so as to obtain main information capable of relatively comprehensively reflecting the mobile phone user activity trajectory, and reduce subsequent computation. Moreover, the mobile phone signaling track data acquired in step S110 is encrypted by the operator, and does not relate to the personal privacy of the individual mobile phone user. Then, in step S120, the duplicate data and the missing data of the base station position in the mobile phone signaling trajectory data are removed, and the effective trajectory data is determined and retained, so as to ensure the accuracy and reliability of travel identification in the subsequent steps.
Optionally, as shown in fig. 1 and fig. 3, in step S200, performing travel identification according to the mobile phone signaling data includes the following steps:
step S210, according to the effective track data, determining recording time stamps of the mobile phone users with a preset time threshold as an interval, and determining activity points of the mobile phone users corresponding to the recording time stamps;
step S220, when the distance between the active point positions corresponding to the two adjacent recording timestamps of the mobile phone user is greater than a preset distance threshold value, determining that the mobile phone user is a trip user.
Specifically, in step S210, a plurality of continuous recording timestamps are selected at intervals of a preset time threshold within a calibration time period, and a position of the mobile phone user corresponding to the recording timestamp is an activity point of the mobile phone user. The activity point can be determined by base station positioning, satellite positioning and the like. In step S220, according to the recording timestamps and the corresponding activity points determined in step S210, determining whether the mobile phone user is going out by determining whether the mobile phone user has a distance between the positions of the activity points corresponding to the two adjacent recording timestamps which is greater than a preset distance threshold, specifically, when the mobile phone user has a distance between the positions of the activity points corresponding to the two adjacent recording timestamps which is greater than the preset distance threshold within a calibration time period, the mobile phone user is considered as a going-out user; and when the distance between the positions of the activity points corresponding to the two adjacent recording timestamps does not exist in the calibration time period of the mobile phone user is greater than the preset distance threshold value, the mobile phone user is considered not to go out. Therefore, the travel user can be accurately determined from all mobile phone users. In some embodiments, the preset time threshold is 15min and the preset distance threshold is 500 m.
Optionally, to avoid interference caused by ping-pong switching on confirmation of the user traveling in step S220, when a distance between positions of the active points corresponding to two adjacent recording timestamps within the calibration time period of the mobile phone user is not greater than a preset distance threshold, the two active points are merged.
Optionally, as shown in fig. 1 and fig. 4, step S300 specifically includes the following steps:
step S310, acquiring information of the special track base station;
specifically, the acquisition of the track private base station information may be extraction from a track system; or manually acquiring and extracting the information through the drive test base station software, for example, manually acquiring the information of the track special base station along the track through the mobile phone drive test base station software.
Step S320, generating a track base station code of the track special base station information according to the track special base station information and a base station code format of the mobile phone signaling track data, and constructing a track special base station information table comprising the track base station code;
specifically, according to the information of the track private base station acquired in step S310, the information of the track private base station is encoded according to the format of the base station code of the mobile phone signaling track data, a track base station code of the information of the track private base station is generated, and a track private base station information table including the track base station code is constructed. In some embodiments, the track-specific base station information table further includes corresponding track site names, base station latitudes and longitudes, and the like.
Step S330, adding a travel code for the mobile phone signaling track data of the travel user according to the travel track;
step S340, associating the track private base station information table with the mobile phone signaling track data with the trip code, and filtering out data that does not include the track private base station information in the mobile phone signaling track data to obtain a track trip track.
Specifically, the track private base station information table constructed in step S320 and the mobile phone signaling track data with the exit code obtained in step S330 are associated, and compared to filter out data that does not include the track private base station information in the mobile phone signaling track data, so as to obtain the track exit track of the track exit user.
Optionally, adding a travel code to the mobile phone signaling trajectory data of the travel user includes:
and adding a travel code for the mobile phone signaling track data of the travel user between the recording time stamp corresponding to the travel starting activity point and the recording time stamp corresponding to the travel ending activity point.
In this way, the travel codes are added to the mobile phone signaling track data during the travel of each travel user, so that the data of different travel users can be distinguished conveniently, and the data comparison for screening the track travel track in the subsequent steps is facilitated.
Optionally, as shown in fig. 1 and fig. 5, step S400 specifically includes the following steps:
step S410, generating travel data of the track travel user according to the track travel track;
and step S420, determining passenger flow distribution space distribution of the rail station according to the travel data.
Thus, the travel data (described later) of the track traveling user is obtained through step S410; then, through step S420, according to the travel data of the track travel user, determining information such as a travel OD (i.e., a travel origin-destination) and a track travel passing station of the track travel user, so as to determine a passenger flow volume and a spatial distribution of a passenger flow source and a passenger flow destination of each track station, and obtain a passenger flow distribution spatial distribution of the track stations; and the corresponding time information is combined, so that the passenger flow distribution space distribution of the railway station at a specific time period can be obtained.
Optionally, as shown in fig. 1, fig. 5, and fig. 6, step S410 specifically includes the following steps:
s411, screening out effective travel tracks in the track travel tracks;
step S412, generating travel data including travel origin-destination, travel departure time, travel arrival time, track travel past stations, and track station departure time and track station arrival time of the track travel user at each track travel past station according to the effective travel track.
Specifically, step S410 first obtains the effective travel track of the orbital travel user through step S411; then, through step S412, according to the effective travel track of the track travel user, generating travel data of the track travel user, where the travel data of the track travel user includes a travel origin and destination, a travel departure time, a travel arrival time, a track travel destination, a track departure time of the track travel user at each track travel destination, a track destination arrival time, and the like, where the track travel destination includes a track travel origin, a track travel approach, and a track travel destination, and the track travel origin and the track travel destination are identified in the following manners: and sequencing the corresponding data of the track trip track of the users on the same track according to the time of the recording time stamps according to trip codes, wherein the first track base station is the track trip starting station of the users on the track trip, and the last track base station is the track trip terminal station of the users on the track trip. Thus, the passenger flow distribution space distribution of each track station is determined conveniently in the subsequent step S420.
Optionally, as shown in fig. 1, fig. 5 to fig. 7, step S411 specifically includes the following steps:
step S411a, processing the track travel track by duplication elimination;
step S411a is configured to process repeated data in the track trip track of the track trip users, that is, perform deduplication on the active points of each track trip user located at the same track station within a continuous time period (continuous recording timestamps), specifically, sort the recording timestamps corresponding to the active points of the same track trip user located at the same track station within the continuous recording timestamps in time order, retain the first recording timestamp and the corresponding active point (or track station) data in the sorted recording timestamps, and finally obtain the track trip track after deduplication processing.
And step S411b, filtering the track traveling track only having the track traveling starting station or only having the track traveling terminal station to obtain an effective traveling track.
Since the user on the track trip at least passes through two track stations (the starting point station and the terminal station), and there may be a track station missing due to the problem of the sampling frequency of the mobile phone signaling data, the track trip track of only the starting point station or only the terminal station is rejected through step S411b to obtain the effective trip track of the user on the track trip, thereby ensuring the reliability and accuracy of the final recognition result of the method for recognizing the passenger flow distribution and distribution of the track stations.
Referring to fig. 8, another embodiment of the present invention provides a device for identifying passenger flow distribution space of a track station, which is used for executing the above method for identifying passenger flow distribution space of a track station, and includes:
an obtaining unit 10, configured to obtain mobile phone signaling data of a mobile phone user and obtain information of a track private base station;
the calculation and identification unit 20 is configured to perform travel identification according to the mobile phone signaling data to determine a travel user from all mobile phone users, and generate a travel track of the travel user according to the mobile phone signaling data; the system comprises a track traveling track determination module, a track special base station information module and a track control module, wherein the track traveling track determination module is used for determining a track traveling track from all traveling tracks according to the traveling track and the track special base station information; and the passenger flow distribution space distribution of the rail station is determined according to the rail travel track.
In this way, the rail station passenger flow distribution spatial identification device ensures that the rail station passenger flow distribution spatial identification method can be smoothly and stably executed through the matching of the structures of the acquisition unit 10, the calculation identification unit 20 and the like. The rail station passenger flow distribution space identification device obtains the passenger flow distribution space of the rail station by executing the rail station passenger flow distribution space identification method, provides important data basis for rail passenger flow analysis and connection optimization layout, is beneficial to adjusting the departure shift of rail vehicles, improving rail transport capacity and improving rail running efficiency, has important significance for line planning and transport capacity allocation of connection buses and layout and allocation of shared single vehicles, and the rail station passenger flow distribution space identification method has the advantages of high precision and easiness in popularization, and can be quickly copied and applied in passenger flow distribution analysis of other urban rail stations.
The invention further provides an electronic device, which includes a processor and a memory, where the memory stores a computer program, and when the computer program is executed by the processor, the method for identifying the passenger flow distribution space distribution of a track station is implemented.
Thus, an electronic device, such as a computer, comprises a processor and a memory, the memory storing a suitable computer program, and the memory storing the computer program when executed by the processor may implement the above-described method of track site passenger traffic distribution spatial identification. The passenger flow distribution space identification method for the rail station is executed through the matching of structures such as a processor, a memory and the like of electronic equipment, so that the passenger flow distribution space of the rail station is obtained, important data basis is provided for rail passenger flow analysis and connection optimization layout, the adjustment of the departure shift of rail vehicles is facilitated, the rail transport capacity is improved, and the rail running efficiency is improved.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the spirit and scope of the present disclosure, and these changes and modifications are intended to be within the scope of the present disclosure.

Claims (8)

1. A rail station passenger flow distribution spatial distribution identification method is characterized by comprising the following steps:
acquiring mobile phone signaling data of a mobile phone user;
carrying out travel identification according to the mobile phone signaling data so as to determine a travel user from all the mobile phone users, and generating a travel track of the travel user according to the mobile phone signaling data;
acquiring special track base station information, and determining a track travel track from all the travel tracks according to the travel track and the special track base station information, wherein the special track base station information is from a base station arranged along a track traffic line;
screening out an effective travel track of the track travel users in the track travel track;
generating travel data comprising travel origin-destination points, travel departure times, travel arrival times, track travel transit stations of the track travel users and the track station departure times and track station arrival times of the track travel users at the respective track travel transit stations according to the effective travel track;
and determining passenger flow distribution space distribution of the rail station according to the travel data.
2. The method for identifying the passenger flow distribution space of the railway station as claimed in claim 1, wherein the acquiring the mobile phone signaling data of the mobile phone user comprises:
acquiring mobile phone signaling track data of the mobile phone user in a calibration time period, wherein the mobile phone signaling track data comprises a user code, a timestamp and a base station code;
and filtering repeated data and base station position missing data in the mobile phone signaling track data to determine effective track data.
3. The method for identifying the passenger flow distribution space of the railway station as claimed in claim 2, wherein the identifying the trip according to the mobile phone signaling data comprises:
according to the effective track data, determining recording time stamps of the mobile phone users with a preset time threshold value as an interval, and determining activity points of the mobile phone users corresponding to the recording time stamps;
and when the distance between the activity point positions corresponding to the two adjacent recording timestamps of the mobile phone user is greater than a preset distance threshold value, determining that the mobile phone user is the trip user.
4. The method for identifying the distribution of the passenger flow distribution space of the railway station as claimed in claim 3, wherein the determining the railway travel track from all the travel tracks according to the travel track and the information of the railway private base station comprises:
generating a track base station code of the track special base station information according to the track special base station information and the format of the base station code of the mobile phone signaling track data, and constructing a track special base station information table comprising the track base station code;
adding a travel code to the mobile phone signaling track data of the travel user according to the travel track;
and associating the track special base station information table with the mobile phone signaling track data with the trip code, and filtering data which does not contain the track special base station information in the mobile phone signaling track data to obtain the track trip track.
5. The method for identifying the passenger flow distribution space of the railway station as claimed in claim 4, wherein the adding of the travel code to the mobile phone signaling trajectory data of the travel user comprises:
and adding the travel code to the mobile phone signaling track data between the recording time stamp corresponding to the travel starting activity point and the recording time stamp corresponding to the travel ending activity point of the travel user.
6. The method for identifying the passenger flow distribution space of the rail station as claimed in claim 5, wherein said screening out the effective travel trajectory from the rail travel trajectories comprises:
processing the track travel track by removing weight;
and filtering the track travel track only having a track travel starting station or only having a track travel terminal station to obtain the effective travel track.
7. The utility model provides a track station passenger flow distribution spatial distribution recognition device that gathers which characterized in that includes:
the system comprises an acquisition unit (10) for acquiring mobile phone signaling data of a mobile phone user and acquiring information of a track private base station;
the calculation and identification unit (20) is used for carrying out travel identification according to the mobile phone signaling data so as to determine a travel user from all the mobile phone users and generating a travel track of the travel user according to the mobile phone signaling data; the system comprises a track special base station, a track travel track, a track selection module and a track selection module, wherein the track selection module is used for selecting a track to be traveled according to the travel track and the track special base station information; the effective travel track of the track travel users in the track travel track is screened out; the system comprises a track travel user, a track travel transit station, a track station departure time and a track station arrival time, wherein the track travel user is provided with a track origin-destination point, a travel departure time and a travel arrival time; and the system is used for determining the passenger flow distribution space distribution of the rail station according to the travel data.
8. An electronic device comprising a processor and a memory, wherein the memory stores a computer program which, when executed by the processor, implements a rail station passenger flow distribution spatial identification method according to any of claims 1-6.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108055645A (en) * 2018-01-19 2018-05-18 深圳技术大学(筹) A kind of path identification method and system based on mobile phone signaling data
CN109905845A (en) * 2018-12-10 2019-06-18 华南理工大学 A kind of bus passenger flow OD acquisition methods based on mobile phone signaling

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5914249B2 (en) * 2012-08-10 2016-05-11 クラリオン株式会社 Route calculation system, navigation device, and route calculation method
CN107958031B (en) * 2017-11-20 2021-07-06 上海市城市建设设计研究总院(集团)有限公司 Resident travel OD distribution extraction method based on fusion data
CN113282575A (en) * 2021-03-29 2021-08-20 中铁第一勘察设计院集团有限公司 Railway station passenger flow characteristic extraction method based on mobile phone signaling

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108055645A (en) * 2018-01-19 2018-05-18 深圳技术大学(筹) A kind of path identification method and system based on mobile phone signaling data
CN109905845A (en) * 2018-12-10 2019-06-18 华南理工大学 A kind of bus passenger flow OD acquisition methods based on mobile phone signaling

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