CN112085268A - Method, device and equipment for measuring and calculating resident travel information and readable storage medium - Google Patents
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Abstract
The embodiment of the application discloses a method, a device, equipment and a readable storage medium for measuring and calculating resident travel information, and relates to the big data technology, in particular to the technical field of intelligent transportation and electronic maps. The specific implementation scheme is as follows: acquiring a plurality of positioning data generated by the trip accompanying equipment; determining a staying area of a resident to which the travel accompanying equipment belongs in a traveling process according to the space-time information of the positioning data and whether the positioning data meet the staying requirement; and calculating the travel information of the residents based on the staying area. The method and the device for measuring the travel information of the residents can improve the measuring and calculating precision of the travel information of the residents.
Description
Technical Field
The application relates to the technical field of intelligent transportation and electronic maps, in particular to a method, a device, equipment and a readable storage medium for measuring and calculating travel information of residents.
Background
In recent years, quantitative exploration of the activity rules of residents by utilizing big data becomes a research hotspot, and especially in the case of major events (such as the outbreak of a novel coronavirus epidemic situation in 2020), the significance and the effect of mastering the activity rules of residents on emergency situations are very important.
At present, the travel data of residents are generally obtained by means of traffic investigation such as bus subway card swiping, highway entrance and exit and the like. However, the traffic survey mode has the defects of small sample coverage, uneven distribution and no continuity, so that the measuring and calculating precision of the travel condition of residents is low.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a readable storage medium for measuring and calculating travel information of residents.
In a first aspect, an embodiment of the present application provides a method for measuring and calculating travel information of a resident, including:
acquiring a plurality of positioning data generated by the trip accompanying equipment;
determining a staying area of a resident to which the travel accompanying equipment belongs in a traveling process according to the space-time information of the positioning data and whether the positioning data meet the staying requirement;
and calculating the travel information of the residents based on the staying area.
In a second aspect, an embodiment of the present application further provides a device for measuring and calculating travel information of a resident, including:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring a plurality of positioning data generated by the trip accompanying equipment;
the determining module is used for determining a staying area of a resident to which the travel accompanying equipment belongs in a traveling process according to the space-time information of the plurality of positioning data and whether the plurality of positioning data meet staying requirements;
and the measuring and calculating module is used for measuring and calculating the travel information of the residents based on the staying area.
In a third aspect, an embodiment of the present application provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute a method for measuring and calculating resident travel information provided by any one of the embodiments.
In a fourth aspect, the present application provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a method for measuring and calculating travel information of residents according to any one of the embodiments.
The method and the device for measuring the travel information of the residents can improve the measuring and calculating precision of the travel information of the residents.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 is a flowchart of a first method for measuring and calculating travel information of a resident in an embodiment of the present application;
FIG. 2a is a flow chart of a second method for measuring and calculating travel information of residents in the embodiment of the present application;
fig. 2b is a schematic diagram of a plurality of areas obtained by clustering track points in a plurality of positioning data in the embodiment of the present application;
fig. 3 is a flowchart of a third resident travel information estimation method in the embodiment of the present application;
fig. 4a is a flowchart of a fourth resident travel information calculation method in the embodiment of the present application;
FIG. 4b is a schematic diagram of an area formed by a plurality of track points and a travel segment between stop areas in the embodiment of the present application;
fig. 5 is a structural diagram of a resident travel information measuring and calculating device in the embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
According to an embodiment of the present application, fig. 1 is a flowchart of a first method for measuring and calculating travel information of a resident in the embodiment of the present application, and the embodiment of the present application is suitable for measuring and calculating travel information of a resident based on positioning data of a device. The method is executed by a resident trip information measuring and calculating device, which is realized by software and/or hardware and is specifically configured in electronic equipment with certain data computing capacity.
The method for measuring and calculating the travel information of the residents as shown in fig. 1 comprises the following steps:
s110, acquiring a plurality of positioning data generated by the trip accompanying equipment.
In this embodiment, the travel accompanying device is a device, such as a mobile phone, a smart band, a vehicle, and the like, which is accompanied by a resident when the resident travels. The trip accompanying equipment is provided with an electronic map and has a positioning function, and a plurality of positioning data generated by the equipment can be acquired according to a set frequency when the positioning function is started. Illustratively, the positioning data includes time information of the track points, spatial information (e.g., position latitude and longitude), and other positioning attributes. Further, the positioning data further includes a unique identification of the resident to which the travel accompanying device belongs, such as a nickname of the resident.
Optionally, the number of the travel accompanying devices is multiple, and each travel accompanying device generates multiple positioning data.
S120, determining a staying area of a resident to which the travel accompanying equipment belongs in the traveling process according to the space-time information of the plurality of positioning data and whether the plurality of positioning data meet the staying requirement.
The space-time information comprises time information and space information, the travel track and time of residents are represented by the space-time information of the positioning data, if the time interval between certain track points is long and the distance is short, residence of the residents between the track points is reflected, and the region where the track points are located can be used as a residence region in the travel process.
Because the acquisition of the positioning data depends on whether the energy determining function is started or not, and sometimes, the acquisition of the positioning data does not have continuity and confidentiality in time, so that the difficulty in capturing the staying behavior of the user is increased, the embodiment can make up for the defect by using the positioning data meeting the staying requirement,
the positioning data satisfies the demand of stopping means that the track point in the positioning data can satisfy the demand that the resident stops here, for example, the positioning data of gathering in the room. Therefore, the positioning data meeting the stay requirement can reflect that residents stay at the track points, and the area where the track points are located can be used as the area staying in the traveling process, namely the stay area.
And S130, calculating the travel information of the residents based on the staying area.
Optionally, the number of the staying areas is at least one, the staying areas indicate that the residents go out of the areas instead of just passing through the areas, and based on the situation, the staying areas reflect the traveling conditions of the residents, so that the information related to the traveling of the residents, namely the traveling information of the residents, is calculated. Optionally, the resident travel information includes, but is not limited to, a travel path and resident travel intensity.
In this embodiment, carry trip accompanying equipment based on most resident, then the sample coverage of a plurality of location data that equipment produced is great, and the distribution is even, and because the location data is produced when trip accompanying equipment locate function opens, has the continuity of time and space. Based on this, when and where the resident is able to be accurately reflected by the plurality of pieces of positioning data. This embodiment is through the space-time information according to a plurality of location data and whether a plurality of location data satisfy the demand of stopping, and these two factors are each other supplementary, and the trip is synthesized and is confirmed to accompany the resident that equipment belongs to and stop the region at the trip in-process, has further improved the precision of trip information.
According to the embodiment of the present application, fig. 2a is a flowchart of a second method for measuring and calculating travel information of a resident in the embodiment of the present application, and the embodiment of the present application optimizes a method for determining a staying area based on the technical solutions of the above embodiments.
The method for measuring and calculating the travel information of the residents shown in fig. 2a specifically comprises the following operations:
s210, acquiring a plurality of positioning data generated by the trip accompanying equipment.
S220, according to the space-time information of the plurality of positioning data, a staying area and a moving area of the resident in the traveling process are preliminarily determined.
The moving area is an area where the residents only pass by without staying in the traveling process, relative to the staying area.
Optionally, the first step: clustering the plurality of positioning data according to the spatial information of the plurality of positioning data to obtain a plurality of areas.
The plurality of positioning data which need to be clustered are generated by one trip accompanying device in a set time period, namely the plurality of positioning data reflect the trip track of one resident in the set time period. The set time period can be one day or one week and is a measuring and calculating period of the travel information of the residents. Firstly, sequencing a plurality of positioning data according to a time sequence to obtain a time sequence of the positioning data. Clustering is carried out on the plurality of positioning data by adopting a clustering algorithm based on space density to obtain a plurality of clusters, and the positioning data (specifically, track points in the positioning data) included in each cluster form an area through which residents go out. Fig. 2b is a schematic diagram of a plurality of regions obtained by clustering track points in a plurality of positioning data in the embodiment of the present application, and fig. 2b shows track points in 14 positioning data, which are denoted by numbers 1 to 14 and are clustered into 6 regions, where at least one track point is included in each region. These areas are, in some cases, stay areas and, in some cases, moving areas.
The second step is that: and calculating the stay time and the activity range between the positioning data in each area, and determining the area with the stay time exceeding a time threshold and the activity range not exceeding a range threshold as the stay area, or determining the area with the stay time not exceeding the time threshold or the activity range exceeding the range threshold as the activity area. The method comprises the steps of obtaining at least one group of positioning data with adjacent time in each area, calculating the difference between the time information of each group of positioning data, overlapping the stay time of at least one group of positioning data to obtain the stay time between the positioning data in the areas, wherein the difference serves as the stay time of each group of positioning data. And calculating the maximum value of the difference between the space information of any two positioning data in each area as the activity range. The time length threshold value and the range threshold value may be set according to the characteristics of resident stay and movement.
And S230, screening target positioning data meeting the stopping requirement from the plurality of positioning data, and re-determining the primarily determined moving area as the stopping area.
Since the positioning data sometimes does not have continuity and consistency in time, some areas are actually areas where residents stay although primarily identified as moving areas. Based on this, the positioning data meeting the stay requirement is screened from the plurality of positioning data, called target positioning data. And screening a moving area where the target positioning data is located, and determining the moving area as a stopping area again. It can be seen that if the target location data in an area meets the stay requirement, even if the stay time between the location data in the area does not exceed the time threshold, or the activity range exceeds the range threshold, the stay area can be used as the stay area for the user to stay in the activity.
Optionally, S230 includes at least one of the following optional embodiments when screening the object location data.
A first alternative embodiment: and screening target positioning data positioned in a set resident activity scene from the plurality of positioning data.
Wherein, the resident activity scene is set to be a scene capable of providing resident activity. Specifically, from a plurality of positioning data, screening target positioning data corresponding to a private network accessed or detected by a trip accompanying device; and/or screening target positioning data corresponding to the area covered with the private network from the plurality of positioning data. The target positioning data meeting the staying requirement can be accurately identified by screening the target positioning data in the set resident activity scene.
The private network can be accessed or detected as a private mobile hotspot (wifi), and an area covered by the private hotspot is generally indoor, so that a resident activity scene can be provided, and then the corresponding target positioning data of the private network accessed or detected by the trip accompanying equipment is screened. Under some circumstances, the network detection or connection function of the trip accompanying device is not started, it is difficult to determine that the trip accompanying device accesses or detects the private network, and then the corresponding relationship between the area covered with the private network and the positioning data is obtained in advance, so that the target positioning data corresponding to the area covered with the private network is screened from the plurality of positioning data.
Second alternative embodiment: from the plurality of positioning data, object positioning data at resident's stationary points is filtered.
In daily life, the departure place or the destination of most of the residents are places which are frequently visited, namely resident places. If the stationary points of the residents can be obtained, the identification of the staying area is also facilitated.
Specifically, positioning data of residents in a historical period is used as input, and the regions visited by the residents in the historical period are obtained through a clustering algorithm based on space density. And calculating the sum of the access times or the access frequency of each positioning data in each area. And selecting an area with the access times or the access frequency exceeding a set threshold value as a stationing point of the user. And if the resident is positioned at the resident location, the resident is explained to stay at the location, and the object positioning data at the resident location is screened. The present embodiment can also alleviate the effect of temporal sparsity and discontinuities by using the resident dots.
And S240, calculating the travel information of the residents based on the staying area.
In this embodiment, if the target location data in an area meets the stay requirement, even if the area is identified as a moving area, the area can be used as a stay area for resident stay activities, and the coverage and accuracy of stay area identification are improved.
According to the embodiment of the present application, fig. 3 is a flowchart of a third method for measuring and calculating travel information of a resident in the embodiment of the present application, and the embodiment of the present application optimizes a method for determining a staying area based on the technical solutions of the above embodiments.
The method for measuring and calculating the travel information of the residents as shown in fig. 3 comprises the following steps:
s310, acquiring a plurality of positioning data generated by the trip accompanying equipment.
S320, clustering the plurality of positioning data according to the spatial information of the plurality of positioning data to obtain a plurality of areas.
The operation is described in detail in the above embodiments, and is not described herein again.
S330, screening the target positioning data meeting the stopping requirement from the plurality of positioning data, shortening a time length threshold value corresponding to an area where the target positioning data is located, and/or expanding a range threshold value corresponding to the area where the target positioning data is located.
When the target positioning data meeting the staying requirement is screened, the target positioning data in a set resident activity scene can be screened from a plurality of positioning data; and/or screening target positioning data located at the resident standing point from the plurality of positioning data. For details, reference is made to the above embodiments, which are not described herein again.
In the above embodiment, the area where the stay time exceeds the time threshold and the activity range does not exceed the range threshold is determined as the stay area, whereas the area where the stay time does not exceed the time threshold or the activity range exceeds the range threshold is determined as the activity area. In this embodiment, the plurality of areas may be identified as the stay areas or the moving areas, but the time threshold corresponding to the area where the object location data is located may be shortened, and/or the range threshold corresponding to the area where the object location data is located may be expanded.
Specifically, the degree of shortening the duration threshold and the degree of expanding the range threshold may be set autonomously. For example, the duration threshold is shortened to half and the range threshold is expanded to 1.5 times.
S340, calculating the stay time and the activity range between the positioning data in each area, and determining the area with the stay time exceeding a time threshold and the activity range not exceeding a range threshold as a stay area.
In this embodiment, a shortened duration threshold and an enlarged range threshold are used to identify an area as a stay area or a moving area.
And S350, calculating the travel information of the residents based on the staying area.
In this embodiment, the time threshold corresponding to the area where the object location data is located is shortened, and/or the range threshold corresponding to the area where the object location data is located is enlarged, so that even if the stay time is short or the activity range is large, the stay area of resident stay activity can be identified, and the coverage and the accuracy of stay area identification are improved
According to the embodiment of the present application, fig. 4a is a flowchart of a fourth method for calculating travel information of a resident in the embodiment of the present application, and the present embodiment optimizes a calculation process of the travel information of the resident on the basis of the above embodiment.
The method for measuring and calculating the travel information of the residents as shown in fig. 4a comprises the following steps:
s410, acquiring a plurality of positioning data generated by the trip accompanying equipment.
In this embodiment, the number of the travel accompanying devices is plural, and correspondingly, the number of residents to which the travel accompanying devices belong is plural.
And S420, determining a staying area of a resident to which the travel accompanying equipment belongs in the traveling process according to the space-time information of the plurality of positioning data and whether the plurality of positioning data meet the staying requirement. S430 and/or S440 are performed. Fig. 4a is a schematic diagram of performing S430 and S440.
And S430, calculating the travel path of the residents according to the staying area.
For a plurality of positioning data generated by the travel accompanying equipment of each resident, the staying area is respectively determined, and the travel path of each resident is calculated.
And forming a travel path by using a travel section between the two stopping areas and representing one travel. Optionally, sequencing the positioning data in all the staying areas according to a time sequence to obtain a time sequence of the positioning data; constructing a time sequence of the staying area according to the time sequence of the positioning data and the staying area where the positioning data is located; and determining the travel route of the resident according to the time sequence of the residence area.
Fig. 4b is a schematic diagram of an area formed by a plurality of track points and a travel segment between stop areas in the embodiment of the present application. The track point numbers in fig. 4b represent the chronological order, and the dashed arrows between the track points represent the paths between the track points. As shown in fig. 4b, the positioning data in all the stay areas are sorted according to the time sequence to obtain a time sequence (indicated by track point numbers): 1. 2, 6, 7, 8, 9, 10, 11, 13, 14. According to the time sequence, the staying area where each positioning data is located forms the time sequence of the staying area: 1 st dwell zone, 2 nd dwell zone, 3 rd dwell zone, 2 nd dwell zone and 1 st dwell zone. The line segments 1-4 are formed between two adjacent time sequences in the time sequence of the dwell area, which is indicated by solid arrows in fig. 4 b. The travel sections 1-4 constitute a travel path.
Further, in real life, the resident will not stay in two areas close to each other, so that the traveling sections exceeding a set length (for example, 500 m) can be removed from each traveling section, and the remaining traveling sections are used to form a traveling route.
The travel path calculation method provided by the embodiment sufficiently considers the time sequence of the positioning data, and then guides the sequencing of the staying areas, so that the real travel path of residents is restored, and the travel path calculation accuracy is improved.
And S440, counting the target number of residents corresponding to the travel path covered by the specified area, and calculating the resident travel information based on the target number of residents.
Optionally, the travel information of the residents in this embodiment is travel intensity of the residents, and is used for representing the strength of travel activities of the residents.
In this embodiment, after the travel route of each resident is measured, the number of target residents corresponding to the travel route covered by the specified area is counted. The designated area is an area where the travel intensity of residents needs to be measured and calculated, such as a certain city. If the stopping areas at the two ends of the travel section are covered by the designated area, the travel path of the travel section is considered to be covered by the designated area, and the condition that the residents travel in the designated area is indicated, and one resident number is contributed. It should be noted that, if a plurality of travel paths of the same resident are covered in the designated area, the number of travel paths is calculated according to the number of the resident.
Optionally, directly regard as resident's intensity of going out with the target resident number to take place the target resident number of going out through the target specified area, quantitative description resident intensity of going out.
Preferably, the ratio of the target number of residents to the active number of residents is used as the resident trip information. The active population is the population to which the trip accompanying equipment belongs and from which the positioning data in the specified area is produced, namely the population in which the positioning occurs in the specified area. Optionally, the number of active residents may be the number of residents belonging to the trip accompanying equipment from which the positioning data is produced in a specified area at a set time period; correspondingly, the target number of residents is determined according to the positioning data acquired in the set time period, so that the travel information of residents in any area in any time period can be measured.
Taking the named travel intensity as an example, the resident travel intensity reflects the ratio of the number of residents who take out in the number of active residents in the designated area, and the greater the travel intensity is, the more residents take out in the designated area; and conversely, less residents in the specified area are shown to go out, so that the resident trip intensity is accurately and quantitatively described.
The embodiment describes the travel information of the residents quantitatively from two angles of travel path and travel intensity, and enriches the expression form of the travel information of the residents.
Fig. 5 is a structural diagram of a device for measuring and calculating travel information of residents in an embodiment of the present application, where the embodiment of the present application is suitable for measuring and calculating travel information of residents based on positioning data of a device, and the device is implemented by software and/or hardware and is specifically configured in an electronic device with certain data calculation capability.
A resident travel information calculation apparatus 500 shown in fig. 5 includes: the system comprises an acquisition module 501, a determination module 502 and a calculation module 503; wherein,
an obtaining module 501, configured to obtain a plurality of positioning data generated by a trip accompanying device;
a determining module 502, configured to determine a staying area of a resident belonging to the travel accompanying device in a travel process according to the time-space information of the plurality of positioning data and whether the plurality of positioning data meet a staying requirement;
the calculation module 503 is configured to calculate the travel information of the residents based on the staying area.
In this embodiment, carry trip accompanying equipment based on most resident, then the sample coverage of a plurality of location data that equipment produced is great, and the distribution is even, and because the location data is produced when trip accompanying equipment locate function opens, has the continuity of time and space. Based on this, when and where the resident is able to be accurately reflected by the plurality of pieces of positioning data. This embodiment is through the space-time information according to a plurality of location data and whether a plurality of location data satisfy the demand of stopping, and these two factors are each other supplementary, and the trip is synthesized and is confirmed to accompany the resident that equipment belongs to and stop the region at the trip in-process, has further improved the precision of trip information.
Optionally, the determining module 502 includes: the first determining unit is used for preliminarily determining a staying area and a moving area of a resident in the traveling process according to the space-time information of the plurality of positioning data; and the second determining unit is used for screening target positioning data meeting the stopping requirement from the plurality of positioning data and re-determining the primarily determined moving area as the stopping area.
Optionally, the determining module 502 includes: the clustering unit is used for clustering the plurality of positioning data according to the spatial information of the plurality of positioning data to obtain a plurality of areas; the shortening and expanding unit is used for screening target positioning data meeting the staying requirement from the plurality of positioning data, shortening a time length threshold value corresponding to an area where the target positioning data is located, and/or expanding a range threshold value corresponding to the area where the target positioning data is located; and the calculating unit is used for calculating the stay time and the activity range between the positioning data in each area, and determining the area with the stay time exceeding the time threshold and the activity range not exceeding the range threshold as the stay area.
Optionally, when the second determining unit is used for screening the object location data meeting the staying requirement from the plurality of location data, the second determining unit is specifically used for screening the object location data in the set residential activity scene from the plurality of location data; and/or screening target positioning data positioned at resident stationary points from a plurality of positioning data; the shortening and expanding unit is specifically used for screening the target positioning data in a set resident activity scene from the plurality of positioning data when screening the target positioning data meeting the staying requirement from the plurality of positioning data; and/or screening target positioning data located at the resident standing point from the plurality of positioning data.
Optionally, when the second determining unit filters the object location data located in the set residential activity scene from the plurality of location data, the second determining unit is specifically configured to filter the corresponding object location data where the trip accompanying device accesses or detects the private network from the plurality of location data; and/or screening target positioning data corresponding to an area covered with a private network from the plurality of positioning data; the shortening and expanding unit is specifically used for screening out corresponding object positioning data at a place where the trip accompanying equipment is accessed to or detects a private network from the plurality of positioning data when screening out the object positioning data located in a set resident activity scene from the plurality of positioning data; and/or screening target positioning data corresponding to the area covered with the private network from the plurality of positioning data.
Optionally, the calculating module 503 includes: the path measuring and calculating module is used for measuring and calculating the travel path of the residents according to the staying area; and/or the information measuring and calculating module is used for counting the target number of residents corresponding to the travel path covered by the specified area and measuring and calculating the travel information of the residents based on the target number of residents.
Optionally, the information calculating module is specifically configured to, when calculating the travel information of the residents based on the target number of the residents: taking the ratio of the target number of residents to the active number of residents as resident travel information; the number of active residents is the number of residents belonging to the trip accompanying equipment from which positioning data is produced in a specified area.
Optionally, the path calculating module is specifically configured to: sequencing the positioning data in all the staying areas according to a time sequence to obtain a time sequence of the positioning data; constructing a time sequence of the staying area according to the time sequence of the positioning data and the staying area where the positioning data is located; and determining the travel route of the resident according to the time sequence of the residence area.
The resident travel information measuring and calculating device can execute the resident travel information measuring and calculating method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the resident travel information measuring and calculating method.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 6, the block diagram of the electronic device implementing the method for measuring and calculating the travel information of the residents according to the embodiment of the present application is shown. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 6, the electronic apparatus includes: one or more processors 601, memory 602, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each terminal providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 6, one processor 601 is taken as an example.
The memory 602 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by the at least one processor, so that the at least one processor executes the resident travel information calculation method provided by the application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute the resident travel information estimation method provided by the present application.
The memory 602 is a non-transitory computer readable storage medium, and can be used for storing a non-transitory software program, a non-transitory computer executable program, and modules, such as program instructions/modules corresponding to the resident travel information calculation method in the embodiment of the present application (for example, the system shown in fig. 5 includes the obtaining module 501, the determining module 502, and the calculating module 503). The processor 601 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 602, namely, implements the resident travel information estimation method in the above method embodiment.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of an electronic device that implements the resident travel information measuring and calculating method, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 602 may optionally include a memory remotely disposed with respect to the processor 601, and these remote memories may be connected to an electronic device performing a resident travel information estimation method through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device performing the method for measuring and calculating the travel information of the resident may further include: an input device 603 and an output device 604. The processor 601, the memory 602, the input device 603 and the output device 604 may be connected by a bus or other means, and fig. 6 illustrates the connection by a bus as an example.
The input device 603 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device performing the estimation method of resident travel information, such as an input device of a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, etc. The output devices 604 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (18)
1. A method for measuring and calculating travel information of residents comprises the following steps:
acquiring a plurality of positioning data generated by the trip accompanying equipment;
determining a staying area of a resident to which the travel accompanying equipment belongs in a traveling process according to the space-time information of the positioning data and whether the positioning data meet the staying requirement;
and calculating the travel information of the residents based on the staying area.
2. The method of claim 1, wherein the determining the staying area of the resident belonging to the travel accompanying equipment in the travel process according to the space-time information of the plurality of positioning data and whether the plurality of positioning data meet the staying requirement comprises:
preliminarily determining a staying area and a moving area of the resident in the traveling process according to the space-time information of the plurality of positioning data;
and screening target positioning data meeting the stopping requirement from the plurality of positioning data, and re-determining the primarily determined moving area as the stopping area.
3. The method of claim 1, wherein the determining the staying area of the resident belonging to the travel accompanying equipment in the travel process according to the space-time information of the plurality of positioning data and whether the plurality of positioning data meet the staying requirement comprises:
clustering the plurality of positioning data according to the spatial information of the plurality of positioning data to obtain a plurality of areas;
screening target positioning data meeting the staying requirement from the plurality of positioning data, and shortening a time threshold corresponding to an area where the target positioning data is located, and/or expanding a range threshold corresponding to the area where the target positioning data is located;
and calculating the stay time and the activity range between the positioning data in each area, and determining the area of which the stay time exceeds the time threshold and the activity range does not exceed the range threshold as a stay area.
4. The method of claim 2 or 3, wherein the screening of the plurality of positioning data for the object positioning data meeting the need for a stay comprises:
screening target positioning data positioned in a set resident activity scene from the plurality of positioning data; and/or the presence of a gas in the gas,
and screening the object positioning data located at the resident frequent parking place from the plurality of positioning data.
5. The method according to claim 4, wherein said filtering object location data located in a set residential activity scene from said plurality of location data comprises:
screening target positioning data corresponding to the trip accompanying equipment accessed or detected private network from the plurality of positioning data; and/or the presence of a gas in the gas,
and screening target positioning data corresponding to the area covered with the private network from the plurality of positioning data.
6. The method as claimed in claim 1, wherein said estimating said resident trip information based on said stay area comprises:
measuring and calculating a travel path of the resident according to the staying area; and/or the presence of a gas in the gas,
and counting the target number of residents corresponding to the travel path covered by the specified area, and calculating resident travel information based on the target number of residents.
7. The method of claim 6, wherein said estimating resident travel information based on said target number of residents comprises:
taking the ratio of the target number of residents to the number of active residents as resident travel information;
the active population is the population to which the trip accompanying equipment belongs and from which the positioning data in the specified area is produced.
8. The method as claimed in claim 6, wherein said estimating the resident's travel path according to the stay area comprises:
sequencing the positioning data in all the staying areas according to a time sequence to obtain a time sequence of the positioning data;
constructing a time sequence of the staying area according to the time sequence of the positioning data and the staying area where the positioning data is located;
and determining the travel route of the resident according to the time sequence of the staying area.
9. A resident travel information measuring and calculating device comprises:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring a plurality of positioning data generated by the trip accompanying equipment;
the determining module is used for determining a staying area of a resident to which the travel accompanying equipment belongs in a traveling process according to the space-time information of the plurality of positioning data and whether the plurality of positioning data meet staying requirements;
and the measuring and calculating module is used for measuring and calculating the travel information of the residents based on the staying area.
10. The apparatus of claim 9, wherein the means for determining comprises:
the first determining unit is used for preliminarily determining a staying area and a moving area of the resident in the traveling process according to the space-time information of the plurality of positioning data;
and the second determining unit is used for screening target positioning data meeting the stopping requirement from the plurality of positioning data and re-determining the primarily determined moving area as the stopping area.
11. The apparatus of claim 9, wherein the means for determining comprises:
the clustering unit is used for clustering the plurality of positioning data according to the spatial information of the plurality of positioning data to obtain a plurality of areas;
the shortening and expanding unit is used for screening target positioning data meeting the staying requirement from the plurality of positioning data, shortening a time threshold corresponding to an area where the target positioning data is located, and/or expanding a range threshold corresponding to the area where the target positioning data is located;
and the calculation unit is used for calculating the stay time and the activity range between the positioning data in each area, and determining the area of which the stay time exceeds the time threshold and the activity range does not exceed the range threshold as the stay area.
12. The apparatus of claim 10 or 11,
the second determining unit is specifically configured to, when screening the target positioning data meeting the staying demand from the plurality of positioning data, screen the target positioning data located in a set residential activity scene from the plurality of positioning data; and/or screening target positioning data located at the resident stationary point from the plurality of positioning data;
the shortening and expanding unit is specifically used for screening the target positioning data in a set resident activity scene from the plurality of positioning data when screening the target positioning data meeting the staying requirement from the plurality of positioning data; and/or screening target positioning data located at the resident stationary point from the plurality of positioning data.
13. The apparatus of claim 12, wherein,
the second determining unit is specifically configured to, when screening target location data located in a set residential activity scene from the plurality of location data, screen corresponding target location data where the trip accompanying device accesses or detects a private network from the plurality of location data; and/or screening target positioning data corresponding to an area covered with a private network from the plurality of positioning data;
the shortening and expanding unit is specifically configured to, when screening the object location data located in a set residential activity scene from the plurality of location data, screen the corresponding object location data where the trip accompanying device accesses or detects a private network from the plurality of location data; and/or screening target positioning data corresponding to the area covered with the private network from the plurality of positioning data.
14. The apparatus of claim 9, wherein the gauging module comprises:
the path measuring and calculating module is used for measuring and calculating the travel path of the resident according to the staying area; and/or the presence of a gas in the gas,
and the intensity measuring and calculating module is used for counting the target number of residents corresponding to the travel path covered by the specified area and measuring and calculating the travel information of the residents based on the target number of residents.
15. The apparatus of claim 14, wherein the intensity estimation module, when estimating resident travel information based on the target population, is specifically configured to:
taking the ratio of the target number of residents to the number of active residents as resident travel information;
the active population is the population to which the trip accompanying equipment belongs and from which the positioning data in the specified area is produced.
16. The apparatus of claim 14, wherein the path estimation module is specifically configured to:
sequencing the positioning data in all the staying areas according to a time sequence to obtain a time sequence of the positioning data;
constructing a time sequence of the staying area according to the time sequence of the positioning data and the staying area where the positioning data is located;
and determining the travel route of the resident according to the time sequence of the staying area.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of estimating resident travel information according to any one of claims 1 to 8.
18. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a resident travel information estimation method according to any one of claims 1 to 8.
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