CN113191223A - Passenger density evaluation method and device, computer equipment and storage medium - Google Patents
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Abstract
The invention is suitable for the technical field of intelligent traffic, and provides a passenger density assessment method, which comprises the following steps: acquiring a carriage scene image in a preset period, and identifying the carriage scene image to obtain face coverage data; acquiring the number data of passengers in a carriage in a preset period; integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data; and evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information. According to the passenger density evaluation method provided by the embodiment of the invention, data are acquired through the plurality of sensing devices, and the acquired data are integrated, so that the acquired passenger density evaluation data are more accurate; in addition, the passenger density evaluation data is evaluated according to the preset evaluation rule, so that the evaluation result is more objective, and the problems that the passenger density data is inaccurate and not objective enough in the conventional passenger density evaluation method are solved.
Description
Technical Field
The invention belongs to the technical field of intelligent traffic, and particularly relates to a passenger density evaluation method, a passenger density evaluation device, computer equipment and a storage medium.
Background
The intelligent traffic is based on intelligent traffic, high and new technologies such as internet of things, cloud computing, big data, mobile internet and the like are integrated, and traffic information is collected through the high and new technologies to provide traffic information service under real-time traffic data. The intelligent traffic enables people, vehicles and roads to be closely matched to achieve harmony and unity, the synergistic effect is exerted, the traffic and transportation efficiency is greatly improved, the traffic safety is guaranteed, the traffic and transportation environment is improved, and the energy utilization efficiency is improved.
The density of the passengers in the vehicle can directly influence the driving safety of the vehicle and the riding comfort of the passengers, and simultaneously, the congestion degree and the transport capacity balance degree of urban traffic are directly reflected, so that the density evaluation data of the passengers in the vehicle can be obtained in time, and the method has extremely important significance for the reasonable operation of the vehicle. Most of the existing vehicle passenger density evaluation methods collect data through single sensing equipment such as an infrared sensor or an induction pedal, the collected data is poor in accuracy, the finally obtained passenger density data is inaccurate, and the data is not compared with a standard value during evaluation, so that the evaluation result is not objective.
Therefore, the existing passenger density evaluation method also has the technical problems of inaccurate passenger density data and insufficient objectivity.
Disclosure of Invention
The embodiment of the invention aims to provide a passenger density evaluation method, and aims to solve the technical problems that the existing passenger density evaluation method is inaccurate in passenger density data and not objective enough.
The embodiment of the invention is realized in such a way that a passenger density assessment method comprises the following steps:
acquiring a carriage scene image in a preset period, and identifying the carriage scene image to obtain face coverage data;
acquiring the number data of passengers in a carriage in a preset period;
integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data;
and evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
It is another object of an embodiment of the present invention to provide a passenger density evaluating apparatus, including:
the system comprises a face covering surface data acquisition unit, a face covering surface data acquisition unit and a processing unit, wherein the face covering surface data acquisition unit is used for acquiring a carriage scene image in a preset period and identifying and processing the carriage scene image to obtain face covering surface data;
the passenger quantity data acquisition unit is used for acquiring the passenger quantity data of the carriage in a preset period;
the passenger density evaluation data acquisition unit is used for integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data;
and the passenger density evaluation data evaluation unit is used for evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
It is a further object of embodiments of the invention to provide a computer arrangement comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the passenger density assessment method of any one of claims 1 to 7.
It is a further object of embodiments of the invention to provide a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the passenger density assessment method according to any one of claims 1 to 7.
According to the passenger density evaluation method provided by the embodiment of the invention, the car scene image in the preset period is obtained, the car scene image is identified to obtain the face coverage data, the car passenger number data in the preset period is obtained at the same time, then the face coverage data and the passenger number data are integrated to obtain the passenger density evaluation data, and the passenger density evaluation data is evaluated according to the preset evaluation rule to obtain the passenger density information. Data are collected through a plurality of sensing devices, and the collected data are integrated, so that the obtained passenger density evaluation data are more accurate; in addition, the passenger density evaluation data is evaluated according to the preset evaluation rule, so that the evaluation result is more objective, and the technical problems that the passenger density data is inaccurate and not objective enough in the conventional passenger density evaluation method are solved.
Drawings
FIG. 1 is a flowchart illustrating steps of a passenger density assessment method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of another passenger density assessment method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of a method for evaluating passenger density according to another embodiment of the present invention;
FIG. 4 is a flowchart illustrating steps of a method for evaluating passenger density according to another embodiment of the present invention;
FIG. 5 is a flowchart illustrating steps of a method for estimating passenger density according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating steps in a further passenger density assessment method according to an embodiment of the present invention;
FIG. 7 is a flowchart illustrating a further method for estimating passenger density according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a passenger density evaluation device according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a computer device for performing a passenger density assessment method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
As shown in fig. 1, a flowchart of steps of a passenger density evaluation method according to an embodiment of the present invention specifically includes the following steps:
step S102, obtaining a carriage scene image in a preset period, and identifying the carriage scene image to obtain face coverage data.
In the embodiment of the invention, the preset period refers to a time period when the vehicle is running, the compartment scene image can be acquired through the vehicle-mounted monitoring camera system, and then the face coverage numerical value in the compartment scene image is obtained by utilizing an image recognition technology.
And step S104, obtaining the number data of the passengers in the compartment in a preset period.
In the embodiment of the invention, the number data of the passengers in the carriage can be obtained by identifying and processing the scene image of the carriage; the number data of passengers in the carriage can also be obtained by acquiring the number data of passengers getting on the bus and the number data of passengers getting off the bus in a preset period and carrying out operation processing on the number data of passengers getting on the bus and the number data of passengers getting off the bus.
And S106, integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data.
And S108, evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
According to the passenger density evaluation method provided by the embodiment of the invention, the car scene image in the preset period is obtained, the car scene image is identified to obtain the face coverage data, the car passenger number data in the preset period is obtained at the same time, then the face coverage data and the passenger number data are integrated to obtain the passenger density evaluation data, and the passenger density evaluation data is evaluated according to the preset evaluation rule to obtain the passenger density information. Data are collected through a plurality of sensing devices, and the collected data are integrated, so that the obtained passenger density evaluation data are more accurate; in addition, the passenger density evaluation data is evaluated according to the preset evaluation rule, so that the evaluation result is more objective, and the technical problems that the passenger density data is inaccurate and not objective enough in the conventional passenger density evaluation method are solved.
As shown in fig. 2, a flowchart of steps of another passenger density assessment method provided in the embodiment of the present invention is different from the method shown in fig. 1 in that the step of obtaining data of the number of passengers in the car within a preset period specifically includes the following steps:
and step S202, identifying the carriage scene image to obtain the data of the number of the passengers in the carriage.
In the embodiment of the invention, the number of passengers in the carriage is acquired from the scene image of the carriage and is matched with the number of passengers in the carriage acquired by other ways for evaluation, so that the accuracy of passenger density data is improved.
As shown in fig. 3, a flowchart of steps of another passenger density evaluation method provided in the embodiment of the present invention is different from the method shown in fig. 1 in that the step of obtaining data of the number of passengers in the car within a preset period specifically includes the following steps:
and step S302, acquiring the number data of the passengers getting on the vehicle in a preset period.
And step S304, acquiring the number data of the passengers getting off the vehicle in a preset period.
And step S306, carrying out operation processing on the number data of the passengers getting on the train and the number data of the passengers getting off the train to obtain the number data of the passengers in the carriage.
In the embodiment of the invention, the data of the number of the passengers getting on the train can be counted by arranging an infrared sensor outside the getting-on area, the data of the number of the passengers getting off the train can be counted by arranging an infrared sensor outside the getting-off area, and the number of the passengers getting on the train in the last preset period is added with the number of the passengers getting on the train, and then the number of the passengers getting off the train is subtracted, so that the number of the passengers in the actual train is obtained.
As shown in fig. 4, a flowchart of steps of another passenger density evaluation method provided in an embodiment of the present invention is different from the method shown in fig. 3 in that the step of obtaining the data of the number of passengers getting on the vehicle within a preset period specifically includes the following steps:
in step S402, vehicle positioning data is acquired.
Step S404, judging whether the vehicle has arrived at the station according to the vehicle positioning data, and executing step S406 and step S408 when the vehicle is judged to have arrived at the station; when it is judged that the vehicle has not arrived at the station, it indicates that the process of acquiring the data of the number of passengers getting on the vehicle and the data of the number of passengers getting off the vehicle has been completed.
In step S406, the number data of the passengers getting on the vehicle is acquired.
In step S408, the data of the number of alighting passengers is acquired.
In the embodiment of the invention, whether the vehicle enters the station is judged through the acquired vehicle positioning data, and when the vehicle is judged to enter the station, the data of the number of passengers getting on the vehicle and the data of the number of passengers getting off the vehicle are acquired, so that the calculation amount of the system can be reduced.
As shown in fig. 5, a flowchart of steps of a passenger density evaluation method provided in an embodiment of the present invention is different from the method shown in fig. 3 in that the step of obtaining the number data of passengers getting on the vehicle within a preset period specifically includes the following steps:
step S502, obtaining transaction data of the vehicle-mounted payment terminal in a preset period, and carrying out statistical processing on the transaction data to obtain the number data of passengers getting on the vehicle.
In the embodiment of the invention, the card swiping times and the code scanning times in the preset period can be counted through the transaction data of the vehicle-mounted card swiping payment terminal and the vehicle-mounted code scanning payment terminal; counting the number of face recognition in a preset period through face recognition real-time data of the vehicle-mounted face recognition payment terminal, wherein the number of passengers in the carriage is the sum of card swiping times, code scanning times and the number of face recognition
As shown in fig. 6, a flowchart of steps of a further passenger density evaluation method provided in an embodiment of the present invention is different from the method shown in fig. 1 in that the step of obtaining a car scene image in a preset period and performing recognition processing on the car scene image to obtain face coverage data specifically includes the following steps:
step S602, obtaining scene images of each region of the carriage in a preset period, and identifying the scene images of each region to obtain face coverage data of each region.
Step S604, passenger quantity data of each area of the compartment in a preset period is obtained.
Step S606, integrating the face coverage data of each region and the passenger number data of each region to obtain passenger density evaluation data of each region.
Step S608, evaluating the passenger density evaluation data of each area according to a preset evaluation rule to obtain passenger density information of each area.
In the embodiment of the invention, because the number of passengers in the carriages is often unbalanced, some carriages are crowded and some carriages are relatively loose, not only the space of the carriages is wasted, but also the actual riding experience of the passengers is influenced, the passenger density degree of each area is judged through the acquired passenger density information of each area, and the passengers are reminded to disperse to the area with smaller passenger density degree through the vehicle-mounted voice reminding device, so that the carriage space is prevented from being wasted, and the actual riding experience of the passengers is optimized.
As shown in fig. 7, a flowchart of the steps of a further passenger density evaluation method provided in the embodiment of the present invention is different from the method shown in fig. 1 in that the step of evaluating the passenger density evaluation data according to the preset evaluation rule specifically includes the following steps:
step S702, comparing the preset standard reference value with the passenger density estimation data.
In the embodiment of the present invention, the preset standard reference value is divided into five levels, i.e., a low density level, a medium density level, a high density level and a high density level, and the passenger density evaluation data is compared with the preset standard reference value to obtain the passenger density level corresponding to the passenger density evaluation data.
As a preferred embodiment of the present invention, the preset standard reference value may be determined based on the car volume information, and may also be determined according to the vehicle interior layout or the actual passenger riding experience, that is, by setting different standard values or adjusting the corresponding levels of the standard values, the car space utilization rate can be sufficiently improved, and the actual passenger riding experience is optimized.
Fig. 8 is a schematic structural diagram of a passenger density evaluation device according to an embodiment of the present invention, which is described in detail below.
In an embodiment of the present invention, the passenger density evaluation device includes:
the face coverage data obtaining unit 810 is configured to obtain a compartment scene image in a preset period, and perform recognition processing on the compartment scene image to obtain face coverage data.
In the embodiment of the invention, the preset period refers to a time period when the vehicle is running, the compartment scene image can be acquired through the vehicle-mounted monitoring camera system, and then the face coverage numerical value in the compartment scene image is obtained by utilizing an image recognition technology.
A passenger number data acquiring unit 820 for acquiring the number data of the passengers in the vehicle compartment within a preset period.
In the embodiment of the invention, the number data of the passengers in the carriage can be obtained by identifying and processing the scene image of the carriage; the number data of passengers in the carriage can also be obtained by acquiring the number data of passengers getting on the bus and the number data of passengers getting off the bus in a preset period and carrying out operation processing on the number data of passengers getting on the bus and the number data of passengers getting off the bus.
And a passenger density evaluation data acquisition unit 830, configured to perform integration processing on the face coverage data and the passenger quantity data to obtain passenger density evaluation data.
The passenger density evaluation data evaluation unit 840 is configured to evaluate the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
According to the passenger density evaluation device provided by the embodiment of the invention, the car scene image in the preset period is obtained, the car scene image is identified to obtain the face coverage data, the car passenger number data in the preset period is obtained at the same time, then the face coverage data and the passenger number data are integrated to obtain the passenger density evaluation data, and the passenger density evaluation data is evaluated according to the preset evaluation rule to obtain the passenger density information. Data are collected through a plurality of sensing devices, and the collected data are integrated, so that the obtained passenger density evaluation data are more accurate; in addition, the passenger density evaluation data is evaluated according to the preset evaluation rule, so that the evaluation result is more objective, and the technical problems that the passenger density data is inaccurate and not objective enough in the conventional passenger density evaluation method are solved.
FIG. 9 is a diagram illustrating an internal structure of a computer device in one embodiment. As shown in fig. 9, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program that, when executed by the processor, causes the processor to implement the passenger density assessment method. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform a passenger density assessment method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the passenger density evaluation apparatus provided in the present application may be implemented in the form of a computer program that is executable on a computer device such as the one shown in fig. 9. The memory of the computer device may store therein the respective program modules constituting the passenger density evaluation means, such as the face coverage data acquisition unit 810, the passenger number data acquisition unit 820, the passenger density evaluation data acquisition unit 830, and the passenger density evaluation data evaluation unit 840 shown in fig. 8. The respective program modules constitute computer programs that cause a processor to execute the steps in the passenger density evaluation method of the respective embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 9 may execute step S102 by the face-covering-surface-data obtaining unit 810 in the passenger-density estimating apparatus shown in fig. 8. The computer device may perform step S104 through the passenger number data acquisition unit 820. The computer device may perform step S106 through the passenger density evaluation data acquisition unit 830. The computer device may perform step S108 by the passenger density evaluation data evaluation unit 840.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring a carriage scene image in a preset period, and identifying the carriage scene image to obtain face coverage data;
acquiring the number data of passengers in a carriage in a preset period;
integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data;
and evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
acquiring a carriage scene image in a preset period, and identifying the carriage scene image to obtain face coverage data;
acquiring the number data of passengers in a carriage in a preset period;
integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data;
and evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A passenger density assessment method, characterized in that the method comprises:
acquiring a carriage scene image in a preset period, and identifying the carriage scene image to obtain face coverage data;
acquiring the number data of passengers in a carriage in a preset period;
integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data;
and evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
2. The passenger density assessment method according to claim 1, wherein the step of obtaining data of the number of passengers in the car within a preset period specifically comprises:
and identifying the carriage scene image to obtain the data of the number of the passengers in the carriage.
3. The passenger density assessment method according to claim 1, wherein the step of obtaining data of the number of passengers in the car within a preset period specifically comprises:
acquiring the number data of passengers getting on the bus in a preset period;
acquiring the number data of passengers getting off in a preset period;
and carrying out operation processing on the number data of the passengers getting on the train and the number data of the passengers getting off the train to obtain the number data of the passengers in the carriage.
4. The passenger density evaluation method according to claim 3, wherein the step of obtaining the data of the number of passengers getting on the vehicle in the preset period specifically comprises:
acquiring vehicle positioning data;
judging whether the vehicle enters the station or not according to the vehicle positioning data, and acquiring the number data of passengers getting on the vehicle when the vehicle is judged to enter the station;
the step of obtaining the data of the number of the passengers getting off in the preset period specifically comprises the following steps:
and acquiring the data of the number of passengers getting off the vehicle.
5. The passenger density evaluation method according to claim 3, wherein the step of obtaining the data of the number of passengers getting on the vehicle in the preset period specifically comprises:
the method comprises the steps of obtaining transaction data of the vehicle-mounted payment terminal in a preset period, and conducting statistical processing on the transaction data to obtain the number data of passengers getting on the vehicle.
6. The passenger density evaluation method according to claim 1, wherein the step of obtaining a car scene image in a preset period and performing recognition processing on the car scene image to obtain the face coverage data specifically comprises:
acquiring scene images of each area of a carriage in a preset period, and identifying the scene images of each area to obtain face coverage data of each area;
the step of obtaining the number data of the passengers in the carriage in the preset period specifically comprises the following steps:
acquiring passenger quantity data of each area of a carriage in a preset period;
the step of integrating the face coverage data and the passenger number data to obtain passenger density evaluation data specifically comprises the following steps:
integrating the face coverage data of each region and the passenger quantity data of each region to obtain passenger density evaluation data of each region;
the step of evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information specifically comprises:
and evaluating the passenger density evaluation data of each area according to a preset evaluation rule to obtain passenger density information of each area.
7. The passenger density evaluation method according to claim 1, wherein the step of evaluating the passenger density evaluation data according to a preset evaluation rule specifically comprises:
and comparing a preset standard reference value with the passenger density evaluation data.
8. A passenger density evaluation apparatus, characterized by comprising:
the system comprises a face covering surface data acquisition unit, a face covering surface data acquisition unit and a processing unit, wherein the face covering surface data acquisition unit is used for acquiring a carriage scene image in a preset period and identifying and processing the carriage scene image to obtain face covering surface data;
the passenger quantity data acquisition unit is used for acquiring the passenger quantity data of the carriage in a preset period;
the passenger density evaluation data acquisition unit is used for integrating the face coverage data and the passenger quantity data to obtain passenger density evaluation data;
and the passenger density evaluation data evaluation unit is used for evaluating the passenger density evaluation data according to a preset evaluation rule to obtain passenger density information.
9. A computer arrangement, characterized by comprising a memory and a processor, a computer program being stored in the memory, which computer program, when being executed by the processor, causes the processor to carry out the steps of the passenger density assessment method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, causes the processor to carry out the steps of the passenger density assessment method according to any one of claims 1 to 7.
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