CN116579667A - Analysis method, device, storage medium and equipment for radiation crowd of bus station - Google Patents
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Abstract
The application discloses a method, a device, a storage medium and equipment for analyzing radiation crowd of a bus station, and belongs to the technical field of data processing. The method comprises the following steps: acquiring signaling data and bus data of a plurality of users; when the user swipes the card to take the bus, determining a bus stop of the user for getting off according to the signaling data and the bus data, or when the user does not swipe the card to take the bus, determining the bus stop of the user for getting off according to the signaling data, and determining a destination finally reached after the user gets off according to the signaling data; for each bus stop, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users; and analyzing the radiation crowd of the bus stops according to the electronic fence of each bus stop. The application can analyze the crowd taking buses and the crowd flow direction, thereby defining the radiation range of bus stops, determining the radiation crowd according to the radiation range, improving the accuracy of analysis results and improving the analysis efficiency.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method, a device, a storage medium and equipment for analyzing radiation crowd of a bus stop.
Background
The vigorous development of the economy in China greatly improves the living standard of residents, and simultaneously brings increasing pressure to public transportation in cities. Especially in the case of peak hours or special holidays, etc., the public transport can be crowded, delayed, etc., and these problems may affect the use will of people for public transport. Therefore, it is important to scientifically evaluate the public transportation radiation crowd.
In the prior art, a large-scale questionnaire is developed in a bus travel mode of residents, and then the questionnaire is analyzed to generate an analysis result of the public transportation radiation crowd, so that the public transportation radiation crowd is tracked and managed.
However, the sampling rate of the questionnaire is low, and the degradation of data quality caused by subjective cognition cannot be avoided, so that an analysis result is inaccurate; and, the questionnaire is time-consuming, resulting in lower analysis efficiency.
Disclosure of Invention
The application provides a method, a device, a storage medium and equipment for analyzing radiation crowd of a bus station, which are used for solving the problems of inaccurate analysis result and lower analysis efficiency when the radiation crowd of the bus station is analyzed by adopting a questionnaire investigation mode. The technical scheme is as follows:
in one aspect, a method for analyzing a radiation crowd at a bus stop is provided, the method comprising:
acquiring signaling data and bus data of a plurality of users, wherein the bus data are recorded on-board data when the users take buses;
for each user, determining a bus stop of the user for getting off according to the signaling data and the bus data when the user swipes a card to take a bus, or determining a bus stop of the user for getting off according to the signaling data when the user does not swipe a card to take a bus, and determining a destination finally reached after the user gets off according to the signaling data;
for each bus stop, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users;
and analyzing the radiation crowd of the bus stops according to the electronic fence of each bus stop.
In a possible implementation manner, the determining, according to the signaling data and the bus data, a bus stop at which the user gets off, includes:
when the bus data comprise bus stops for the users to get on, generating travel tracks of the users according to the signaling data;
and determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
In a possible implementation manner, the determining, according to the signaling data, a bus stop at which the user gets off, includes:
generating a travel track of the user according to the signaling data;
judging whether the user takes a bus or not according to the travel track;
if the user takes the bus, determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
In one possible implementation manner, the determining, according to the travel track, whether the user takes a bus includes:
detecting whether a public transportation route coincident with the travel track exists or not;
when the public transportation route exists, determining that the public transportation route is a subway route or a public transportation route according to the public transportation route or the travel speed of the user;
and when the public transportation route is a public transportation route, detecting whether the user has a private car, and if the user does not have the private car, determining that the user takes the public transportation.
In one possible implementation manner, the generating the electronic fence of the bus stop according to the bus stop and the destinations of the plurality of users includes:
for each user, determining the residence and workplace of the user according to the signaling data of the user;
adding the bus stop and the destination as a set of data to a preset data set when the destination is a residence or a workplace;
when the destination is not a residence place or a working place, counting the number of times that a user finally reaches the destination after getting off the bus stop, and if the number of times is larger than a number threshold, adding the bus stop and the destination as a group of data into a preset data set;
and for each bus stop, acquiring a plurality of destinations corresponding to the bus stop from the data set, and generating an electronic fence according to the plurality of destinations.
In one possible implementation manner, the analyzing the radiation crowd of the bus station according to the electronic fence of each bus station includes:
for each bus stop, determining the radiation range of the bus stop according to the electronic fence of the bus stop;
and calculating the radiation crowd of the bus station according to the radiation range.
In one aspect, there is provided an analysis device for a radiation population of a bus stop, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring signaling data and bus data of a plurality of users, and the bus data are recorded on-board data when the users take buses;
the determining module is used for determining a bus stop of the user for getting off according to the signaling data and the bus data when the user swipes a card to take a bus or determining a bus stop of the user for getting off according to the signaling data when the user does not swipe a card to take a bus, and determining a destination finally reached after the user gets off according to the signaling data for each user;
the generating module is used for generating an electronic fence of each bus stop according to the bus stop and destinations of a plurality of users;
and the analysis module is used for analyzing the radiation crowd of the bus stops according to the electronic fence of each bus stop.
In one possible implementation manner, the determining module is further configured to:
generating a travel track of the user according to the signaling data;
judging whether the user takes a bus or not according to the travel track;
if the user takes the bus, determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
In one aspect, a computer readable storage medium having stored therein at least one instruction loaded and executed by a processor to implement a method of analyzing a population of radiation for a bus stop as described above is provided.
In one aspect, a computer device is provided, the computer device comprising a processor and a memory, the memory having stored therein at least one instruction, the instruction being loaded and executed by the processor to implement a method of analysing a population of radiation for a bus stop as described above.
The technical scheme provided by the application has the beneficial effects that at least:
signaling data and bus data are obtained; when the user swipes the card to take the bus, determining a bus stop of the user for getting off according to the signaling data and the bus data, when the user does not swipe the card to take the bus, determining the bus stop of the user for getting off according to the signaling data, and determining a destination finally reached after the user gets off according to the signaling data; then, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users; finally, the radiation crowd at the bus stop is analyzed according to the electronic fence of each bus stop, so that the crowd taking the bus and the crowd flow direction can be analyzed, the radiation range of the bus stop is defined, the radiation crowd is determined according to the radiation range, the accuracy of the analysis result can be improved, and the analysis efficiency can be improved. In addition, the radiation crowd can be analyzed only by signaling data and bus data, no additional equipment is required to be installed, and the analysis cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for analyzing a radiation crowd at a bus stop according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for analyzing radiation population at a bus stop according to another embodiment of the present application;
fig. 3 is a block diagram of an analysis device for radiation crowd of a bus stop according to another embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a method for analyzing a radiation crowd at a bus stop according to an embodiment of the present application is shown, where the method for analyzing a radiation crowd at a bus stop may be applied to a computer device. The method for analyzing the radiation crowd of the bus station comprises the following steps:
step 101, obtaining signaling data and bus data of a plurality of users, wherein the bus data is recorded on-board data when the users take buses.
The computer device may obtain signaling data for a plurality of users from the base station. The signaling data may include, among other things, a user number, a signaling location (i.e., a base station location), a signaling time, and user real name information, which may include a user's identification card number, a passport number, and so on.
The computer device can acquire public transportation data of a plurality of users from a server corresponding to public transportation. For example, the public transportation data may include a public transportation station at which the user gets on a bus, a time of getting on the bus, an identification card number of the user, and the like.
When the camera is carried in the bus, the face shot by the camera can be identified, and the identity card number of the user is acquired after the identity of the user is identified; or when the user takes the bus by using the bus application and the user has performed real-name authentication in the bus application, the identity card number of the user can be obtained from real-name information of the user through the bus application.
Step 102, for each user, determining a bus stop of the user for getting off according to the signaling data and the bus data when the user swipes the card for taking the bus, or determining a bus stop of the user for getting off according to the signaling data when the user does not swipe the card for taking the bus, and determining a destination finally reached after the user gets off according to the signaling data.
The computer equipment analyzes and mines the signaling data and the bus data based on algorithms such as artificial intelligence, machine learning and the like. Specifically, when the user does not swipe a card to take a bus, the computer equipment cannot acquire the bus data of the user, and the bus stop of the user for getting off can be determined according to the signaling data; when the user swipes the card to take the bus, the computer device can acquire the bus data, and determine the bus stop of the user for getting off according to the signaling data and the bus data, as described in detail below.
The computer device can generate a travel track of the user according to the signaling location and the signaling time in the signaling data, and determine a destination finally reached after the user gets off the vehicle according to the travel track.
Step 103, for each bus stop, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users.
The users getting off at the same bus stop may have different destinations, and the computer device may count a plurality of destinations corresponding to each bus stop, and form all the destinations corresponding to each bus stop into an outermost edge electronic fence.
And 104, analyzing the radiation crowd of the bus stops according to the electronic fence of each bus stop.
After obtaining the electronic fence, the computer device may predict the radiation population based on population density and the area of the electronic fence, or the computer device may predict the radiation population based on signaling data within the area of the electronic fence.
In summary, according to the method for analyzing the radiation crowd of the bus stop provided by the embodiment of the application, the signaling data and the bus data are obtained; when the user swipes the card to take the bus, determining a bus stop of the user for getting off according to the signaling data and the bus data, when the user does not swipe the card to take the bus, determining the bus stop of the user for getting off according to the signaling data, and determining a destination finally reached after the user gets off according to the signaling data; then, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users; finally, the radiation crowd at the bus stop is analyzed according to the electronic fence of each bus stop, so that the crowd taking the bus and the crowd flow direction can be analyzed, the radiation range of the bus stop is defined, the radiation crowd is determined according to the radiation range, the accuracy of the analysis result can be improved, and the analysis efficiency can be improved. In addition, the radiation crowd can be analyzed only by signaling data and bus data, no additional equipment is required to be installed, and the analysis cost is reduced.
Referring to fig. 2, a flowchart of a method for analyzing a radiation crowd at a bus stop according to an embodiment of the application is shown, and the method for analyzing a radiation crowd at a bus stop can be applied to a computer device. The method for analyzing the radiation crowd of the bus station comprises the following steps:
step 201, obtaining signaling data and bus data of a plurality of users, wherein the bus data is recorded on-off data when the users take buses.
The computer device may obtain signaling data for a plurality of users from the base station. The signaling data may include, among other things, a user number, a signaling location (i.e., a base station location), a signaling time, and user real name information, which may include a user's identification card number, a passport number, and so on.
The computer device can acquire public transportation data of a plurality of users from a server corresponding to public transportation. For example, the public transportation data may include a public transportation station at which the user gets on a bus, a time of getting on the bus, an identification card number of the user, and the like.
When the camera is carried in the bus, the face shot by the camera can be identified, and the identity card number of the user is acquired after the identity of the user is identified; or when the user takes the bus by using the bus application and the user has performed real-name authentication in the bus application, the identity card number of the user can be obtained from real-name information of the user through the bus application.
Step 202, for each user, determining a bus stop of the user for getting off according to the signaling data and the bus data when the user swipes the card to take the bus, or determining a bus stop of the user for getting off according to the signaling data when the user does not swipe the card to take the bus, and determining a destination finally reached after the user gets off according to the signaling data.
The computer equipment analyzes and mines the signaling data and the bus data based on algorithms such as artificial intelligence, machine learning and the like. Specifically, when the user does not swipe a card to take a bus, the computer equipment cannot acquire the bus data of the user, and the bus stop of the user for getting off can be determined according to the signaling data; when the user swipes the card and takes the bus, the computer equipment can acquire the bus data, determine the bus stop of the user for getting off according to the signaling data and the bus data, and the two determination modes are respectively described below.
(1) When the public transport means taken by the user is public transport, determining the bus stop of the user for getting off according to the signaling data and the public transport together:
when the user swipes a card to take a bus and the bus data comprise a bus stop for the user to get on, generating a travel track of the user according to the signaling data; and determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
When a user takes a bus, the user needs to swipe a card when getting on the bus and does not need to swipe a card when getting off the bus, so that the corresponding bus data only comprises the bus stop of the user when getting on the bus, and the computer equipment cannot directly acquire the bus stop of the user when getting off the bus from the bus data. At this time, the computer device may generate a travel track of the user according to the signaling location and the signaling time in the signaling data, then search a bus route overlapping with the travel track from the plurality of bus routes, determine a bus stop overlapping with the travel track and the last bus stop of the bus route, and determine the bus stop as a bus stop at which the user gets off.
(2) When the public transport means taken by the user cannot be determined, determining the bus stop of the user for getting off according to the signaling data:
generating a travel track of the user according to the signaling data; judging whether the user takes a bus or not according to the travel track; if the user takes the bus, determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
When a user takes bus with a card-swiping-free credential such as a month card, a year card and the like (namely, a face is not recognized and public transportation application is not used), no boarding and alighting data of the user are recorded in bus data, at this time, the computer equipment can generate a travel track of the user according to a signaling place and signaling time in signaling data, and then judge whether the user takes bus according to the travel track; if the user is determined to take the bus, determining a bus stop for the user to get off; if the user is determined not to take the bus, the bus stop of the user for getting off is not required to be determined.
Specifically, judging whether the user takes the bus according to the travel track may include:
(a) And detecting whether a public transportation route which coincides with the travel track exists. The public transportation route can be a subway route or a public transportation route.
(b) When a public transportation route exists, the public transportation route is determined to be a subway route or a public transportation route according to the public transportation route or the travel speed of the user.
When a public transportation route which coincides with the travel track exists, if the public transportation route can be directly determined according to the route to be the running route of the subway, the public transportation route is determined to be the subway route; if the public transportation route can be determined to be the running route of the public transportation directly according to the route, the public transportation route is determined to be the public transportation route.
If the public transportation route cannot be determined to be the subway route or the public transportation route according to the route, the computer equipment needs to acquire the travel speed of the user, and if the travel speed accords with the running speed of the subway, the public transportation route is determined to be the subway route; if the speed accords with the running speed of the bus, the public transportation route is determined to be a subway route. The running speed of the bus is smaller than that of the subway.
(c) And when the public transportation route is a public transportation route, detecting whether the user owns the private car, and if the user does not own the private car, determining that the user takes the public transportation.
When the public transportation route is a public transportation route, the computer equipment can also acquire private car registration information from a transportation hall mechanism, judge whether a user owns a private car according to the private car registration information, and if the user does not own the private car, determine that the user takes a bus; if the user has a private car, determining that the user does not take the bus.
The computer device can determine the destination finally reached after the user gets off the vehicle according to the travel track.
Step 203, for each bus stop, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users.
The users getting off at the same bus stop may have different destinations, and the computer device may count a plurality of destinations corresponding to each bus stop, and form all the destinations corresponding to each bus stop into an outermost edge electronic fence.
Specifically, generating the electronic fence of the bus stop according to the bus stop and the destinations of the plurality of users may include:
(a) For each user, the residence and workplace of the user are determined from the user's signaling data.
The computer device may determine the residence and workplace of the user based on the signaling time and signaling location in the signaling data.
For example, a day is 20 days, a place where 9 in the daytime to 18 in the afternoon stay for 6 hours or more is a working place, and a place where 22 in the night to 8 in the next day stay for 6 hours or more is a living place.
(b) When the destination is a residence or a workplace, the bus stop and the destination are added as a set of data to a preset data set.
For example, if a bus station from which a user gets off is an industrial park and a job site is an xx building, then "industrial park-xx building" is added as a set of data to the data set.
(c) And when the destination is not a residence place or a working place, counting the number of times that the user finally reaches the destination after getting off the bus stop, and if the number of times is larger than a number threshold value, adding the bus stop and the destination as a group of data into a preset data set.
The preset threshold may be set according to actual requirements, for example, set to 2, which is not limited in this embodiment.
(d) And for each bus stop, acquiring a plurality of destinations corresponding to the bus stop from the data set, and generating an electronic fence according to the plurality of destinations.
Step 204, for each bus stop, determining the radiation range of the bus stop according to the electronic fence of the bus stop.
After the electronic fence is obtained, the computer device may determine the area within the electronic fence as the radiation range of the bus stop.
Step 205, calculating the radiation crowd of the bus station according to the radiation range.
The computer device may estimate the radiation population based on population density and emission range, or the computer device may estimate the radiation population based on signaling data within the radiation range.
After the radiation range and the radiation crowd of the bus station are determined, corresponding management measures such as adjusting bus lines, increasing transport capacity and the like can be formulated, so that the service level and efficiency of the bus are better improved.
In summary, according to the method for analyzing the radiation crowd of the bus stop provided by the embodiment of the application, the signaling data and the bus data are obtained; when the user swipes the card to take the bus, determining a bus stop of the user for getting off according to the signaling data and the bus data, when the user does not swipe the card to take the bus, determining the bus stop of the user for getting off according to the signaling data, and determining a destination finally reached after the user gets off according to the signaling data; then, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users; finally, the radiation crowd at the bus stop is analyzed according to the electronic fence of each bus stop, so that the crowd taking the bus and the crowd flow direction can be analyzed, the radiation range of the bus stop is defined, the radiation crowd is determined according to the radiation range, the accuracy of the analysis result can be improved, and the analysis efficiency can be improved. In addition, the radiation crowd can be analyzed only by signaling data and bus data, no additional equipment is required to be installed, and the analysis cost is reduced.
Referring to fig. 3, a block diagram of an analysis device for a radiation crowd at a bus stop according to an embodiment of the application is shown, and the analysis device for a radiation crowd at a bus stop can be applied to a computer device. The analysis device for the radiation crowd of the bus station can comprise:
an acquisition module 310, configured to acquire signaling data and bus data of a plurality of users, where the bus data is boarding data recorded when the users take buses;
the determining module 320 is configured to determine, for each user, a bus stop at which the user gets off according to the signaling data and the bus data when the user swipes the card to take the bus, or determine, according to the signaling data, a bus stop at which the user gets off when the user does not swipe the card to take the bus, and determine, according to the signaling data, a destination that the user finally arrives after getting off;
a generating module 330, configured to generate, for each bus stop, an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users;
the analysis module 340 is configured to analyze the radiation population of the bus stop according to the electronic fence of each bus stop.
In an alternative embodiment, the determining module 320 is further configured to:
when the bus data comprise bus stops for the users to get on, generating travel tracks of the users according to the signaling data;
and determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
In an alternative embodiment, the determining module 320 is further configured to:
generating a travel track of the user according to the signaling data;
judging whether the user takes a bus or not according to the travel track;
if the user takes the bus, determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
In an alternative embodiment, the determining module 320 is further configured to:
detecting whether a public transportation route coincident with the travel track exists or not;
when the public transportation route exists, determining that the public transportation route is a subway route or a public transportation route according to the public transportation route or the travel speed of the user;
and when the public transportation route is a public transportation route, detecting whether the user owns the private car, and if the user does not own the private car, determining that the user takes the public transportation.
In an alternative embodiment, the generating module 330 is further configured to:
for each user, determining the residence and the workplace of the user according to the signaling data of the user;
when the destination is a residence or a workplace, adding the bus station and the destination as a group of data into a preset data set;
when the destination is not a residence place and a working place, counting the number of times that a user finally reaches the destination after getting off a bus stop, and if the number of times is larger than a number threshold value, adding the bus stop and the destination as a group of data into a preset data set;
and for each bus stop, acquiring a plurality of destinations corresponding to the bus stop from the data set, and generating an electronic fence according to the plurality of destinations.
In an alternative embodiment, the analysis module 340 is further configured to:
for each bus stop, determining the radiation range of the bus stop according to the electronic fence of the bus stop;
and calculating the radiation crowd of the bus station according to the radiation range.
In summary, the analysis device for the radiation crowd of the bus stop provided by the embodiment of the application obtains the signaling data and the bus data; when the user swipes the card to take the bus, determining a bus stop of the user for getting off according to the signaling data and the bus data, when the user does not swipe the card to take the bus, determining the bus stop of the user for getting off according to the signaling data, and determining a destination finally reached after the user gets off according to the signaling data; then, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users; finally, the radiation crowd at the bus stop is analyzed according to the electronic fence of each bus stop, so that the crowd taking the bus and the crowd flow direction can be analyzed, the radiation range of the bus stop is defined, the radiation crowd is determined according to the radiation range, the accuracy of the analysis result can be improved, and the analysis efficiency can be improved. In addition, the radiation crowd can be analyzed only by signaling data and bus data, no additional equipment is required to be installed, and the analysis cost is reduced.
One embodiment of the present application provides a computer readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement a method of analyzing a population of radiation at a bus stop as described above.
One embodiment of the application provides a computer device comprising a processor and a memory having at least one instruction stored therein, the instruction being loaded and executed by the processor to implement a method of analysing a population of radiation for a bus stop as described above.
It should be noted that: when the analysis device for the radiation crowd of the bus stop provided by the embodiment analyzes the radiation crowd of the bus stop, only the division of the functional modules is used for illustration, in practical application, the functional distribution can be completed by different functional modules according to the needs, namely, the internal structure of the analysis device for the radiation crowd of the bus stop is divided into different functional modules so as to complete all or part of the functions described above. In addition, the analysis device for the radiation crowd at the bus stop and the analysis method embodiment for the radiation crowd at the bus stop provided in the above embodiments belong to the same concept, and detailed implementation processes of the analysis device are shown in the method embodiment, and are not described herein.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description should not be taken as limiting the embodiments of the application, but rather should be construed to cover all modifications, equivalents, improvements, etc. that may fall within the spirit and principles of the embodiments of the application.
Claims (10)
1. A method for analyzing a radiation crowd at a bus stop, the method comprising:
acquiring signaling data and bus data of a plurality of users, wherein the bus data are recorded on-board data when the users take buses;
for each user, determining a bus stop of the user for getting off according to the signaling data and the bus data when the user swipes a card to take a bus, or determining a bus stop of the user for getting off according to the signaling data when the user does not swipe a card to take a bus, and determining a destination finally reached after the user gets off according to the signaling data;
for each bus stop, generating an electronic fence of the bus stop according to the bus stop and destinations of a plurality of users;
and analyzing the radiation crowd of the bus stops according to the electronic fence of each bus stop.
2. The method for analyzing the radiation crowd of the bus stop according to claim 1, wherein the determining the bus stop for the user to get off according to the signaling data and the bus data comprises:
when the bus data comprise bus stops for the users to get on, generating travel tracks of the users according to the signaling data;
and determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
3. The method for analyzing the radiation crowd of the bus stop according to claim 1, wherein the determining the bus stop at which the user gets off according to the signaling data comprises:
generating a travel track of the user according to the signaling data;
judging whether the user takes a bus or not according to the travel track;
if the user takes the bus, determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
4. The method for analyzing the radiation crowd at the bus stop according to claim 3, wherein the step of judging whether the user takes the bus according to the travel track comprises the steps of:
detecting whether a public transportation route coincident with the travel track exists or not;
when the public transportation route exists, determining that the public transportation route is a subway route or a public transportation route according to the public transportation route or the travel speed of the user;
and when the public transportation route is a public transportation route, detecting whether the user has a private car, and if the user does not have the private car, determining that the user takes the public transportation.
5. The method of claim 1, wherein the generating the electronic fence of the bus stop according to the bus stop and the destinations of the plurality of users comprises:
for each user, determining the residence and workplace of the user according to the signaling data of the user;
adding the bus stop and the destination as a set of data to a preset data set when the destination is a residence or a workplace;
when the destination is not a residence place or a working place, counting the number of times that a user finally reaches the destination after getting off the bus stop, and if the number of times is larger than a number threshold, adding the bus stop and the destination as a group of data into a preset data set;
and for each bus stop, acquiring a plurality of destinations corresponding to the bus stop from the data set, and generating an electronic fence according to the plurality of destinations.
6. The method for analyzing the radiation crowd at the bus stop according to claim 1, wherein the analyzing the radiation crowd at the bus stop according to the electronic fence at each bus stop comprises:
for each bus stop, determining the radiation range of the bus stop according to the electronic fence of the bus stop;
and calculating the radiation crowd of the bus station according to the radiation range.
7. An analysis device for a radiation crowd of a bus stop, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring signaling data and bus data of a plurality of users, and the bus data are recorded on-board data when the users take buses;
the determining module is used for determining a bus stop of the user for getting off according to the signaling data and the bus data when the user swipes a card to take a bus or determining a bus stop of the user for getting off according to the signaling data when the user does not swipe a card to take a bus, and determining a destination finally reached after the user gets off according to the signaling data for each user;
the generating module is used for generating an electronic fence of each bus stop according to the bus stop and destinations of a plurality of users;
and the analysis module is used for analyzing the radiation crowd of the bus stops according to the electronic fence of each bus stop.
8. The apparatus for analyzing a population of radiation at a bus stop of claim 7, wherein the determining module is further configured to:
generating a travel track of the user according to the signaling data;
judging whether the user takes a bus or not according to the travel track;
if the user takes the bus, determining the last coincident bus stop of the travel track and the bus route, and determining the bus stop as the bus stop of the user for getting off.
9. A computer readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement a method of analyzing a population of radiation at a bus stop according to any one of claims 1 to 6.
10. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction that is loaded and executed by the processor to implement a method of analyzing a population of radiation at a bus stop according to any one of claims 1 to 6.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104835323A (en) * | 2015-05-19 | 2015-08-12 | 银江股份有限公司 | Multi-target public transport passenger flow detection method combining with electronic fence |
CN111046937A (en) * | 2019-12-05 | 2020-04-21 | 南京智慧交通信息有限公司 | Two-segment passenger crowd trip purpose analysis method fusing public transportation data and POI data |
CN112288131A (en) * | 2020-09-24 | 2021-01-29 | 和智信(山东)大数据科技有限公司 | Bus stop optimization method, electronic device and computer-readable storage medium |
CN114363842A (en) * | 2021-12-31 | 2022-04-15 | 中山大学 | Method and device for predicting getting-off station of bus passenger based on mobile phone signaling data |
WO2022161144A1 (en) * | 2021-01-28 | 2022-08-04 | 深圳市城市交通规划设计研究中心股份有限公司 | Alternative route set generation method and apparatus and route planning method and apparatus for bus network |
-
2023
- 2023-07-11 CN CN202310842161.4A patent/CN116579667A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104835323A (en) * | 2015-05-19 | 2015-08-12 | 银江股份有限公司 | Multi-target public transport passenger flow detection method combining with electronic fence |
CN111046937A (en) * | 2019-12-05 | 2020-04-21 | 南京智慧交通信息有限公司 | Two-segment passenger crowd trip purpose analysis method fusing public transportation data and POI data |
CN112288131A (en) * | 2020-09-24 | 2021-01-29 | 和智信(山东)大数据科技有限公司 | Bus stop optimization method, electronic device and computer-readable storage medium |
WO2022161144A1 (en) * | 2021-01-28 | 2022-08-04 | 深圳市城市交通规划设计研究中心股份有限公司 | Alternative route set generation method and apparatus and route planning method and apparatus for bus network |
CN114363842A (en) * | 2021-12-31 | 2022-04-15 | 中山大学 | Method and device for predicting getting-off station of bus passenger based on mobile phone signaling data |
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