CN112133093A - Method and device for rapidly confirming riding path - Google Patents

Abstract

The embodiment of the application discloses a method and a device for quickly confirming a riding path. According to the technical scheme provided by the embodiment of the application, the actual riding path is confirmed by comparing the detected riding traffic information with the preset riding path, when the comparison is consistent, the preset riding path is directly used as the actual riding path, and when the comparison is inconsistent, the actual riding path is identified in a video image or time information matching mode; by adopting the scheme of the embodiment of the application, the recognition speed and the recognition accuracy are greatly improved, the speed of the detection scheme of the actual riding path can be effectively improved, and the popularization of the detection scheme of the actual riding path is facilitated.

Description

A method and device for quickly confirming a vehicle route

technical field

The embodiments of the present application relate to the technical field of rail transit, and in particular, to a method and device for quickly confirming a riding route.

Background technique

At present, the existing passenger travel routes mainly use the AFC system to determine the route of travel by car, which can only obtain the starting point and destination point of the travel by car, but cannot obtain the specific actual travel route, and cannot determine the travel route by car. accurate judgment. When the method of obtaining an accurate path is adopted, a large amount of resources and time need to be consumed for calculation, which cannot achieve the purpose of being fast and practical. Therefore, designing a solution that can quickly confirm the riding route has become an urgent technical problem to be solved in the art.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a method and device for quickly confirming a riding route, which can confirm the actual riding route by using a preset riding route. Confirm the speed, and then provide faster and more efficient ride data for ticket sorting and route planning.

In a first aspect, an embodiment of the present application provides a method for quickly confirming a riding route, including:

Obtain the passenger's boarding number information and the boarding pass information detected by the pass gate, where the boarding pass information includes the inbound station and the outbound station;

Determine whether the ride number information is associated with a preset ride path, and if so, retrieve the preset ride path and the ride pass information for matching to determine the actual ride path; if not, then execute the next step;

Through video image matching or time matching, accurate path recognition is performed for target passengers to obtain the actual ride path.

Further, the travel information further includes time information, the preset ride route includes a starting and ending site, a preset time period and a preset path, the preset time period corresponds to the starting and ending site, and the starting and ending site is Including a preset starting point and a preset ending point; the retrieving the preset travel route and the travel information to match to determine the actual travel route, including:

Determine whether the inbound site is consistent with the preset starting point, and if so, execute the next step;

Determine whether the outbound site is consistent with the preset end point, and if so, execute the next step;

It is judged whether the time information is within a preset time period, and if so, the preset route is used as the actual travel route of the passenger.

Further, the number of the preset riding routes includes four.

Further, the preset riding route is obtained through the following steps:

Record the historical access information detected by the access gate, the historical access information includes historical entry and exit sites;

Count the number of the same historical traffic information that appears to obtain the historical traffic frequency;

It is judged whether the historical traffic frequency exceeds a preset number of times, and if so, the corresponding historical traffic information is stored as a preset travel route.

Further, the historical traffic information also includes historical pit stop time;

The number of the same historical traffic information that appears to be counted to obtain the historical traffic frequency, including:

When the same historical inbound station and historical outbound station appear, obtain the time period to which the historical inbound time belongs;

When the time period, the historical entry station and the historical exit station are all the same, the corresponding historical traffic information is counted to obtain the historical traffic frequency.

Further, performing accurate path identification on the target passenger through time matching to obtain the actual ride path, including:

Acquiring the ticket data of the target passenger, and determining the od data of the target passenger according to the ticket data; the od data includes the starting station, the starting time, the ending station and the ending time;

Determine a plurality of travel routes according to the starting station and the end station, and determine the corresponding predicted exit time of each travel route according to the plurality of travel routes and the starting time;

The predicted exit time with the smallest difference from the termination time is determined, and the travel route corresponding to the obtained predicted exit time is used as the actual travel route.

Further, performing accurate path identification on the target passenger through video image matching to obtain the actual ride path, including:

Obtain the target feature information captured by the camera set at the entrance;

Obtain the target feature information captured by cameras set at the transfer station and the exit;

Determine and identify the station information corresponding to the target feature information;

Determine the actual travel route of the target passenger according to the station information;

The acquisition of the target feature information captured by the camera set at the entry port includes:

Obtain the card swiping image information captured by the camera set at the entrance;

Perform gesture recognition on the card swiping image information to determine whether there is a card swiping action and a gate opening action, and if so, execute the next step;

The face information of the card-swiping passenger is determined according to the card-swiping image information, and the face information is used as target feature information.

In a second aspect, an embodiment of the present application provides a device for quickly confirming a riding route, including:

Obtaining module: used to obtain the passenger's boarding number information and the boarding pass information detected by the access gate, and the boarding and passing information includes the inbound station and the outbound station;

Judging module: for judging whether the ride number information includes a preset ride path, and if so, matching the preset ride path with the ride information to determine the actual ride path; If not, execute the path confirmation module;

Path confirmation module: It is used to identify the exact path of the target passengers through video image matching or time matching to obtain the actual ride path.

In a third aspect, an embodiment of the present application provides an electronic device, including:

memory and one or more processors;

the memory for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors implement the method for quickly confirming the travel route according to the first aspect.

In a fourth aspect, an embodiment of the present application provides a storage medium containing computer-executable instructions, the computer-executable instructions, when executed by a computer processor, are used to execute the fast travel route according to the first aspect method of confirmation.

In this embodiment of the present application, the detected travel information is compared with the preset travel route to confirm the actual travel route. When the comparison is consistent, the preset travel route is directly used as the actual travel route. When the comparison is inconsistent, the actual riding path is identified by using video images or time information matching; by adopting the solution in the embodiment of the present application, the recognition speed and accuracy are greatly improved, and the actual riding can be effectively improved. The speed of the path detection scheme is convenient for the promotion of the actual ride path detection scheme.

Description of drawings

FIG. 1 is a flowchart of a method for quickly confirming a riding route provided by an embodiment of the present application;

FIG. 2 is a flowchart of matching between a preset riding route and riding traffic information provided by an embodiment of the present application;

FIG. 3 is a schematic flowchart of obtaining a preset riding route provided by an embodiment of the present application;

FIG. 4 is a schematic flowchart of a historical traffic frequency acquisition provided by an embodiment of the present application;

FIG. 5 is a flow chart of confirming a riding route by using time matching provided by an embodiment of the present application;

6 is a simplified schematic diagram of a subway line provided by an embodiment of the present application;

FIG. 7 is a flow chart of confirming a driving route by means of face recognition provided by an embodiment of the present application;

FIG. 8 is a schematic flowchart of the confirmation of facial feature information provided by an embodiment of the present application;

9 is a schematic diagram of image acquisition for entering a station by swiping a card provided by an embodiment of the present application;

10 is a schematic structural diagram of a device for quickly confirming a riding route provided by an embodiment of the present application;

FIG. 11 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present application clearer, the specific embodiments of the present application will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all of the contents related to the present application. Before discussing the exemplary embodiments in greater detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts various operations (or steps) as a sequential process, many of the operations may be performed in parallel, concurrently, or concurrently. Additionally, the order of operations can be rearranged. The process may be terminated when its operation is complete, but may also have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, subroutines, and the like.

The existing passenger travel route mainly uses the AFC system to determine the route of the travel by car, which can only obtain the starting point and destination point of the travel by car, but cannot obtain the specific actual travel route, and cannot accurately determine the travel route. judge. When the method of obtaining an accurate path is adopted, a large amount of resources and time need to be consumed for calculation, which cannot achieve the purpose of being fast and practical. Based on this, the embodiment of the present application provides the confirmation of the actual riding route by comparing the detected travel information with the preset riding route, and when the comparison is consistent, the preset riding route is directly compared. The route is used as the actual travel route. When the comparison is inconsistent, the actual travel route is identified by means of video image or time information matching. By adopting the solution of the embodiment of the present application, the recognition speed and accuracy are greatly improved, and the recognition speed and accuracy can be greatly improved. The speed of the detection scheme of the actual ride path is effectively improved, and the promotion of the actual ride path detection scheme is facilitated.

FIG. 1 is a flowchart of a method for quickly confirming a riding route provided by an embodiment of the present application. The method for quickly confirming a riding route provided in this embodiment may be executed by a device for quickly confirming a riding route. , the device for quickly confirming the travel route can be implemented by software and/or hardware, and the device for quickly confirming the travel route can be composed of two or more physical entities, or can be composed of one physical entity. Generally speaking, the device for quickly confirming the travel route may be a computer, a mobile phone, a tablet, or a background server.

The following description will be made by taking the background server as a device for executing the method for quickly confirming the driving route as an example. Referring to FIG. 1 , the method for quickly confirming the riding route specifically includes:

S101: Acquire the information of the passenger's boarding number and the boarding pass information detected by the pass gate, where the boarding and passing information includes an inbound station and an outbound station.

This step is mainly to obtain the pass information of passengers on the bus. Generally, there is one card per person, and each card also has unique number information. Therefore, the pass information can be compared with the corresponding bus number. One correspondence, then it is also possible to associate the travel information with the corresponding person. The correspondence between the path and the person is realized through the above-mentioned association relationship. When acquiring ride information, there are two ways to acquire information, one is to acquire location information, and the other is to acquire location information and time information. When acquiring time information, it may be to determine the entry time information, or Determine the outbound time information, which is only set as a comparison reference.

S102: Determine whether a preset ride route is associated with the ride number information, and if so, retrieve the preset ride path and the ride pass information for matching to determine an actual ride path; if not , then go to the next step.

This step is mainly to determine whether the corresponding ride number information is associated with a preset ride route. If so, the corresponding preset ride route needs to be called. If not, specific route identification needs to be performed. Specifically, the travel information further includes time information, the preset travel route includes a starting and ending site, a preset time period, and a preset path, the preset time period corresponds to the starting and ending site, and the starting and ending site It includes a preset starting point and a preset ending point; FIG. 2 is a flowchart of matching the preset riding route with the passing information provided by the embodiment of the present application. As shown in FIG. 2 , the preset riding route is matched with the The travel information is matched to determine the actual travel route, including:

S1021: Determine whether the inbound site is consistent with the preset starting point, and if so, execute the next step;

S1022: Determine whether the outbound site is consistent with the preset end point, and if so, execute the next step;

S1023: Determine whether the time information is within a preset time period, and if so, retrieve the preset route as the actual travel route of the passenger.

When there is the preset travel route associated with the ride code information, because it is known that if the corresponding passenger takes the bus at point A at this time, the route must be from A-B-C-D; for example, the morning entry time is 7:50 , from home to work, then it can be known that its path is relatively fixed, and the preset ride path associated with the ride code information is also the corresponding ride path to work in the morning. When the inbound station, outbound station and time information are consistent, the identified route is retrieved as the passenger's actual travel route. When dividing the time period, one hour can be used as a time period, or two hours can be used as a time period; the specific setting can be set according to the actual situation.

In this embodiment, the main purpose is to correspond the preset ride route with the ride number information. Only by associating all the information with the ride number information is it convenient for subsequent information calling and judgment. The preset travel route in this embodiment may be the pre-existing route content associated with the travel number information, or after swiping the card for a preset number of times, start the corresponding information generation to set the preset travel route; If the number of times exceeds 10 or 20 times, the one with the most occurrences of the same location is selected as the preset ride route; it can also be used as the preset ride when the same ride path occurs more than a certain number of times, such as 5 or 10 times. path.

Specifically, FIG. 3 is a schematic flowchart of obtaining a preset riding route provided by an embodiment of the present application. As shown in FIG. 3 , the preset riding route is obtained through the following steps:

S102a: record historical access information detected by the access gate, where the historical access information includes historical entry and exit sites;

S102b: Count the number of the same historical traffic information that appears to obtain the historical traffic frequency;

S102c: Determine whether the historical traffic frequency exceeds a preset number of times, and if so, store the corresponding historical traffic information as a preset travel route for information storage.

Exemplarily, the historical traffic information also includes the historical entry time; FIG. 4 is a schematic flowchart of the historical traffic frequency acquisition provided by the embodiment of the present application, as shown in FIG. The number is counted to obtain the historical traffic frequency, including:

S102b1: when the same historical inbound station and historical outbound station appear, obtain the time period to which the historical inbound time belongs;

S102b2: When the time period, the historical inbound station and the historical outbound station are all the same, perform quantitative statistics on the corresponding historical traffic information to obtain the historical traffic frequency.

That is to say, when it is detected that the number of times corresponding to the same historical entry station and historical exit station exceeds the preset value, information storage is performed on the historical traffic information. When information storage is performed, the corresponding station information and path information need to be stored. When it matches the time information, the corresponding path information is called as the preset path. When there is no corresponding route information in the corresponding ride number, precise route recognition needs to be called to identify the actual route and save the route information. Generally, the commute route is relatively fixed, so the corresponding route information can be directly stored as the corresponding preset route; however, there will also be exception information, and the passenger chooses a different route to go to work on a certain day. Therefore, after the time and station comparison is performed, the route comparison can also be performed. If all the routes are also consistent, the above information is associated with the travel number information and stored.

Further, the number of the preset riding routes includes four. Because in real life, there are both going to work and going to get off work. Similarly, the work place on Monday and Tuesday will be different from the work place on Wednesday and Thursday. Therefore, it is necessary to set up multiple different preset travel routes. However, the number of corresponding ride paths is not unlimited. The best number of preset ride paths cannot exceed six, because when the number exceeds a certain number, it will greatly increase the workload of data management and comparison. It cannot achieve a better actual path determination speed.

In addition to the preset ride route storage described above, there is also a setting method for the preset ride path coverage; when the corresponding passenger changes houses, the corresponding boarding time and location will also be different. It is useless to set the bus route; when there are incoming stops that go to work 6 days in 10 days from point A to point B, the new route from point B to the company will be used as the preset route for subsequent actual routes. the calling application. When the number of actual travel routes reaches a preset value, the actual travel routes are used as preset travel routes for information storage.

S103: If it is determined that the ride number information is not associated with a preset ride path, perform accurate path identification on the target passenger through video image matching or time matching to obtain an actual ride path.

When the actual driving route is identified, the method of image or time matching can be used, or even the identification method such as mobile phone signaling can be used for identification. In this embodiment, video image matching and time matching can be used for identification separately, or a matching strategy can be used for adaptation to obtain current time information, and determine whether the time information is within a preset time period; when it is within a preset time period When it is within the preset time period, the time matching identification method is adopted, and when it is not within the preset time period, the video image matching identification method is adopted.

Exemplarily, FIG. 5 is a flow chart of confirming the travel route by using time matching provided by an embodiment of the present application. As shown in FIG. 5 , the accurate route identification is performed on the target passenger through time matching to obtain the actual travel route. include:

S1031: Obtain the ticket data of the target passenger, and determine the od data of the target passenger according to the ticket data; the od data includes the starting station, the starting time, the ending station and the ending time;

S1032: Determine a plurality of ride paths according to the starting station and the termination station, and determine the corresponding predicted exit time of each ride path according to the multiple ride paths and the starting time;

S1033: Determine the predicted exit time with the smallest difference from the termination time, and use the travel route corresponding to the obtained predicted exit time as the actual travel route.

When it is detected that the current time is 8:10 in the morning, in this embodiment, the preset time period is set to 8:00 to 10:00, so it can be known that it is in the peak period of the flow of people. Therefore, in this embodiment, the passenger ticket data is used to Confirm the actual ride route of the target passenger. There are several ways to confirm the travel route by using the passenger ticket: First, the existing passenger ticket identification method is directly adopted, that is, the shortest travel route between the passenger from point A to point C is used as the user The advantage of this method is that it can directly rely on the existing algorithm method without modification; the second method is to use the combination of ticket data and predicted time to achieve.

In this embodiment, the od data also refers to ORIGIN data and DESTINATION data, and the od data refers to the starting and ending data of the passenger's boarding, that is, the starting station data and the terminal station data. If only the ticket data is used to confirm the route, the final data obtained is not the most accurate data, as shown in Figure 6, which is a simplified schematic diagram of the subway line provided by the embodiment of the present application. , there can be multiple routes, the user can choose A-B-C-D-F, A-B-E-D-F, A-B-E-F, or even A-B-C-D-E-F. There are many options when making a specific selection, but if the existing method is used, the system will use the optimal distance from station A to station F to design the path, but in the actual process, everyone's choice There are many differences. Sometimes, in order to meet friends at a certain station, I will choose another route. Sometimes I will choose a route with more stops to reduce the number of transfers. There is no actual difference between the two routes. And randomly choose one of the paths and so on. Therefore, if only the passenger ticket data is used to confirm the actual travel route, a large error will occur. Therefore, in this embodiment, the actual path is determined in combination with the time information.

Specifically, passengers taking the subway will generate ticket data, that is, the record of swiping cards in and out of the station, then the corresponding od data of the target passenger will be generated, but the od data does not include the actual travel route, but because of the existence of od data, then you can According to the od data, multiple travel routes are calculated. For example, from station A to station F, the route A-B-C-D-F, the route A-B-E-D-F, and the route A-B-E-F are obtained. Similarly, due to the existence of the starting time, then by calculating the time consuming and the number of people passing through each station The walking speed can get the predicted exit time corresponding to each path. The obtained multiple predicted departure times are compared with the actual departure times of passengers, and the route corresponding to the predicted departure time closest to the actual departure time is used as the actual route.

Since the subway departure time and speed are relatively fixed on weekdays, the above calculation can be performed based on historical or actual subway departure time data, arrival time data, and speed. Regarding the acquisition of people's walking speed, due to the large flow of people in the above-mentioned time period, the camera can be used to obtain the corresponding pedestrian flow speed, and the actual pedestrian flow speed obtained by the camera is used as the walking speed of the person for fusion calculation, so that the final calculation can be predicted. The time is more accurate; because in the peak period, the large flow of people will make the individual's walking speed assimilated. Usually the faster walking speed is due to the obstruction of the flow of people, which reduces the walking speed of the person, and the usually slower walking speed is driven by the flow of people. The walking speed of people is increased, and the final matching effect is better by using cameras to monitor the actual flow speed of people.

The above is a method of determining the actual route by combining the preset arrival time with the ticket data. The actual travel route determined above is more accurate than the existing passenger ticket data. In order to further speed up the calculation speed, in this embodiment, different mechanisms may also be set to speed up the speed. In this embodiment, when it is detected that the starting station and the ending station of the passenger ticket data are on the same subway line, the above matching calculation is not performed. Although for a single data, the above reduction of computing power is not very obvious, but due to the large carrying capacity of subways, especially for large cities such as Beijing, Shanghai, Guangzhou and Shenzhen, the passenger flow carrying capacity is huge. The above mechanism can greatly reduce the calculation time. Improve recognition speed.

Exemplarily, FIG. 7 is a flow chart of confirming the riding route by means of face recognition provided by an embodiment of the present application. As shown in FIG. 7 , the accurate route identification is performed on the target passenger through video image matching to obtain the actual route. Ride paths, including:

S103a: Acquire target feature information captured by a camera set at the entry port;

S103b: Acquire the target feature information captured by cameras disposed at the transfer station and the exit;

S103c: Determine and identify the station information corresponding to the target feature information;

S103d: Determine the actual travel route of the target passenger according to the station information.

When it is detected that the current time is 11:00 on Thursday morning, it does not belong to the preset time interval from 8:00 to 10:00, it can be known that the number of people in the station is relatively small at this time, and a more accurate person can be used. It is carried out by face recognition, because as long as it is obtained that a person appears at a certain station, it is known that the passenger must be on the corresponding line.

The camera can directly capture the target feature information, but the acquisition of the location information needs to be further determined; when the camera captures the corresponding target feature information, it will send information with the location information of the captured target feature information.

Corresponding target feature information is photographed at station A, and the target feature information may be face feature information, clothing feature information, or a combination of the two. More preferably, in the way of performing face feature identification, since the face feature is unique, the overall identification has a higher degree of certainty. If clothing features are used for identification, it is also necessary to associate the two with the card identification number obtained after swiping the card, so as to ensure better consistency of the final output results.

More preferably, the transfer station includes a transfer passage or a transfer platform or a transfer car. Due to the problem of occlusion in the face recognition process, when performing face recognition at the transfer station, it can be combined with the cameras in the transfer channel, platform and carriage for combined recognition, as long as the corresponding target is captured by one of the cameras. The characteristic information can determine that it is transferring at the corresponding transfer point, and then the corresponding transfer point position can be determined.

More preferably, FIG. 8 is a schematic flowchart of the confirmation of facial feature information provided by the embodiment of the present application. As shown in FIG. 8 , the acquisition of the target feature information captured by the camera set at the entry port includes:

S103a1: Acquire the card swiping image information captured by the camera set at the entrance;

S103a2: Perform gesture recognition on the card swiping image information to determine whether there is a card swiping action and a gate opening action, and if so, execute the next step;

S103a3: Determine the face information of the card-swiping passenger according to the card-swiping image information, and use the face information as target feature information.

The above steps are mainly used as face recognition triggers. When entering the station, if all the face data at the entrance is acquired and then the subsequent identification and matching are performed, a large amount of matching data will be generated, and a large number of matching results will appear. No, because some passengers at the entrance did not actually enter the station; it is unreasonable to include these passengers in the data matching scope. Therefore, in the specific implementation, a trigger mechanism is adopted, that is, an image of a person swiping a card and an image of the gate being opened; as shown in FIG. 9 , FIG. When such an image is recognized, it indicates that the card has been swiped successfully and entered the station; then it can be used as a target feature information to match the subsequent exit information. If only the image of the person swiping the card is detected, it does not necessarily mean that the person can enter the station, because after swiping the card, the card may not be able to enter the station because there is no balance in the card. Image confirmation. When the card swiping image and the gate opening image are detected, the card swiping identification number detected by the corresponding gate is recorded at the same time, and the card swiping identification number is associated with the face information, which is convenient for subsequent ticket clearing.

Similarly, when leaving the station, it is also necessary to detect the image of the person swiping the card and the image of the gate opening, so that the passenger can be determined to leave the station, and then the corresponding face image can be confirmed; through the above content, a complete closed loop of recognition is formed.

More preferably, the scheme of the embodiment of the present application also includes the following steps:

Obtain multiple target passenger information captured by cameras set at the entry gate;

If it is determined that multiple pieces of the target passenger information are captured by the camera set at the exit, data association is performed on the multiple pieces of the target passenger information;

The feature information of any passenger in the plurality of target passenger information is selected as the target feature information.

The above steps are mainly further limited for the situation of multiple people traveling together. If multiple people travel, in actual situations, as long as the actual path of one of them is determined, the rest of the people in the same group can also share their data. In this embodiment, if the information about the entry and exit of a corresponding group of people is obtained at both the inbound and outbound gates within the preset time, it can be determined that they are accompanying persons with a high probability. In addition to the above strategy of judging whether to go together, you can also combine other actions to judge whether it is passable, such as judging whether two people go together by judging hugs, holding hands and other actions. When it is determined that it is a peer, the face information of one of them can be selected as the identification of the actual path, and then the information of the other people can be associated with it. Through the above steps, the information association between each target passenger can be realized. After the information association is performed, further data processing can be used subsequently. Correspondingly, after determining the actual travel route of the target passenger according to the location information, the method further includes: taking the actual travel route as the actual travel route of the remaining target passengers according to the data association relationship.

When it is judged that multiple people are traveling together, they can be stored as separate information, or their information can be associated. After the actual travel route of the selected person is obtained, the actual travel route of the selected person can also be used as the actual travel route corresponding to the person and the selected person. That is, when multiple people enter and exit the station at the same time, after obtaining the actual path of one of them, it can be determined that the other persons entering and exiting at the corresponding time point are applicable to the actual path. The preset time may be that the difference between the inbound time and the outbound time is within 5 minutes; the above solution can improve the recognition speed and save a part of computing resources.

In addition to the face recognition method, which can be shared by multiple people, the actual route confirmation of the ticket data and the predicted arrival time can also be performed by multiple people. When the above method is used for the ticket data, the The card swiping information between passengers is correlated, which is then used as the basis for subsequent data sharing.

In the specific implementation of the solution in step S103, the confirmation switching of the path may be carried out in combination with the time information, that is, in the embodiment of the present application, the path identification is carried out by obtaining the current time information and according to whether the obtained time information is within a preset time period. ok. When it is in the peak period of people flow, the passenger ticket data is used to determine the travel path; when it is in the off-peak period of people flow, more accurate methods such as face recognition are used to determine the travel path. By combining the two methods, the accuracy and speed can be unified to obtain a more accurate actual driving route.

In this embodiment of the present application, the detected travel information is compared with the preset travel route to confirm the actual travel route. When the comparison is consistent, the preset travel route is directly used as the actual travel route. When the comparison is inconsistent, the actual riding path is identified by using video images or time information matching; by adopting the solution in the embodiment of the present application, the recognition speed and accuracy are greatly improved, and the actual riding can be effectively improved. The speed of the path detection scheme is convenient for the promotion of the actual ride path detection scheme.

On the basis of the above embodiment, FIG. 10 is a schematic structural diagram of an apparatus for quickly confirming a riding route provided by an embodiment of the present application. Referring to FIG. 10 , the device for quickly confirming the riding route provided by this embodiment specifically includes:

Obtaining module 21: used to obtain the passenger's boarding number information and the boarding pass information detected by the access gate, where the boarding and passing information includes the inbound station and the outbound station;

Judging module 22: for judging whether the ride number information includes a preset ride route, and if so, matching the preset ride route with the ride information to determine the actual ride route ; if not, execute the path confirmation module;

Path confirmation module 23: used to identify the exact path of the target passenger through video image matching or time matching to obtain the actual ride path.

In this embodiment of the present application, the detected travel information is compared with the preset travel route to confirm the actual travel route. When the comparison is consistent, the preset travel route is directly used as the actual travel route. When the comparison is inconsistent, the actual riding path is identified by using video images or time information matching; by adopting the solution in the embodiment of the present application, the recognition speed and accuracy are greatly improved, and the actual riding can be effectively improved. The speed of the path detection scheme is convenient for the promotion of the actual ride path detection scheme.

The device for quickly confirming the riding route provided by the embodiment of the present application can be used to execute the method for quickly confirming the riding route provided by any of the above embodiments, and has corresponding functions and beneficial effects.

11 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Referring to FIG. 11 , the electronic device includes: a processor 31 , a memory 32 , a communication module 33 , an input device 34 and an output device 35 . The number of processors 31 in the electronic device may be one or more, and the number of memories 32 in the electronic device may be one or more. The processor 31 , the memory 32 , the communication module 33 , the input device 34 and the output device 35 of the electronic device may be connected by a bus or in other ways.

As a computer-readable storage medium, the memory 32 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for quickly confirming a driving route described in any embodiment of the present application (for example, The acquisition module 21, the judgment module 22 and the route determination module 23) in the device for quickly confirming the travel route. The memory 32 may mainly 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 according to the use of the device, and the like. Additionally, memory 32 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, the remote memory being connectable to the device through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The communication module 33 is used for data transmission.

The processor 31 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 32 , that is, to realize the above-mentioned method for quickly confirming the travel route.

The input device 34 may be used to receive input numerical or character information and to generate key signal input related to user settings and function control of the device. The output device 35 may include a display device such as a display screen.

The electronic device provided above can be used to execute the method for quickly confirming the riding route provided by the above embodiment, and has corresponding functions and beneficial effects.

The embodiment of the present application further provides a storage medium containing computer-executable instructions, the computer-executable instructions, when executed by the computer processor 31 , are used to execute a method for quickly confirming a travel route, and the Path confirmation methods include:

Obtain the passenger's boarding number information and the boarding pass information detected by the pass gate, where the boarding pass information includes the inbound station and the outbound station;

Determine whether the ride number information includes a preset ride path, and if so, match the preset ride path with the ride information to determine the actual ride path; if not, execute Next step;

Through video image matching or time matching, accurate path recognition is performed for target passengers to obtain the actual ride path.

storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROMs, floppy disks, or tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc. ; non-volatile memory, such as flash memory, magnetic media (eg hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the first computer system in which the program is executed, or may be located in a second, different computer system connected to the first computer system through a network such as the Internet. The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations (eg, in different computer systems connected by a network). The storage medium may store program instructions (eg, embodied as a computer program) executable by one or more processors 31 .

Of course, a storage medium containing computer-executable instructions provided by the embodiments of the present application, the computer-executable instructions of which are not limited to the above-mentioned method for quickly confirming the driving route, and can also execute the methods provided by any embodiment of the present application. The related operations in the method of quickly confirming the driving route.

The device, storage medium, and electronic device for quickly confirming the riding route provided in the above embodiments can perform the method for quickly confirming the riding route provided by any embodiment of the present application, and the technical details are not described in detail in the above embodiments. , please refer to the method for quickly confirming the riding route provided by any embodiment of the present application.

The above are only the preferred embodiments of the present application and the applied technical principles. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present application. The scope is determined by the scope of the claims.

Claims (10)

1. A method for quickly confirming a riding path is characterized by comprising the following steps:

acquiring riding number information and riding traffic information of passengers detected by a traffic gate, wherein the riding traffic information comprises an inbound station and an outbound station;

judging whether a preset riding path is associated in the riding number information, if so, calling the preset riding path to be matched with the riding traffic information so as to determine an actual riding path; if not, executing the next step;

and carrying out accurate path identification on the target passenger through video image matching or time matching to obtain an actual riding path.

2. A method for rapidly confirming a riding path according to claim 1, wherein the riding traffic information further comprises time information, the preset riding path comprises a start-stop station, a preset time period and a preset path, the preset time period corresponds to the start-stop station, and the start-stop station comprises a preset start point and a preset end point; the calling the preset riding path and the riding traffic information are matched to determine an actual riding path, and the calling comprises the following steps:

judging whether the inbound website is consistent with the preset starting point or not, if so, executing the next step;

judging whether the outbound site is consistent with the preset endpoint or not, and if so, executing the next step;

and judging whether the time information is in a preset time period, and if so, taking the preset path as an actual riding path of the passenger.

3. A method for rapid ride path confirmation according to claim 1, wherein the number of preset ride paths comprises four.

4. A method for quickly confirming a ride path according to claim 1, wherein the preset ride path is obtained by:

recording historical traffic information detected by a traffic gate, wherein the historical traffic information comprises historical incoming stations and historical outgoing stations;

counting the number of the same historical traffic information to obtain historical traffic frequency;

and judging whether the historical traffic frequency exceeds a preset frequency, and if so, storing the corresponding historical traffic information in a preset riding path.

5. A method for rapid ride path confirmation according to claim 4, wherein the historical transit information further comprises historical arrival times;

the counting of the number of the same historical traffic information to obtain the historical traffic frequency comprises the following steps:

when the same historical station entering and the same historical station exiting occur, acquiring the time period of the historical station entering time;

and when the belonged time period, the historical entry station and the historical exit station are the same, carrying out quantity statistics on the corresponding historical traffic information to obtain historical traffic frequency.

6. A method for rapidly confirming a riding path according to any one of claims 1-5, wherein the accurate path recognition of the target passenger through time matching to obtain the actual riding path comprises:

obtaining passenger ticket data passed by a target passenger, and determining od data of the target passenger according to the passenger ticket data; the od data comprises a start station, a start time, an end station and an end time;

determining a plurality of riding paths according to the starting station and the ending station, and determining corresponding predicted outbound time of each riding path according to the plurality of riding paths and the starting time;

and determining the predicted outbound time with the minimum difference value with the termination time, and taking the riding path corresponding to the obtained predicted outbound time as an actual riding path.

7. A method for rapidly confirming a riding path according to any one of claims 1-5, wherein the accurate path recognition of the target passenger through video image matching to obtain the actual riding path comprises the following steps:

acquiring target characteristic information shot by a camera arranged at a station entrance;

acquiring the target characteristic information shot by cameras arranged at a transfer station and an exit port;

determining and identifying station information corresponding to the target characteristic information;

determining an actual riding path of a target passenger according to the station information;

the target characteristic information shot by the camera arranged at the station entrance is obtained, and the method comprises the following steps:

acquiring card swiping image information shot by a camera arranged at a station entrance;

carrying out gesture recognition on the card swiping image information to determine whether card swiping action and gate opening action exist, and if so, executing the next step;

and determining the face information of the card swiping passenger according to the card swiping image information, and taking the face information as target characteristic information.

8. An apparatus for quickly confirming a riding route, comprising:

an acquisition module: the system comprises a traffic gate, a passenger identification module and a passenger identification module, wherein the traffic gate is used for detecting the number information of passengers and the traffic information, and the traffic information comprises an entrance station and an exit station;

a judging module: the system comprises a bus taking number information acquiring unit, a bus taking passing information acquiring unit, a bus taking number information acquiring unit and a bus taking path acquiring unit, wherein the bus taking number information is used for acquiring the bus taking number information; if not, executing a path confirmation module;

a path confirmation module: the method is used for carrying out accurate path identification on the target passenger through video image matching or time matching so as to obtain an actual riding path.

9. An electronic device, comprising:

a memory and one or more processors;

the memory for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement a method for rapid ride path validation as claimed in any of claims 1-7.

10. A storage medium containing computer-executable instructions for performing the method for rapid ride path validation of any of claims 1-7 when executed by a computer processor.

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