CN111553314A - Urban rail transit passenger guidance system and guidance method - Google Patents
Urban rail transit passenger guidance system and guidance method Download PDFInfo
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Abstract
A passenger guidance system and a passenger guidance method for urban rail transit relate to the technical field of rail transit control. The system comprises a carriage people counting module, a signal transmission module, a control module, a data analysis module and a guide module; the data analysis module is used for receiving the number information of the passengers in each carriage transmitted by the control module and predicting the number of the passengers getting off each carriage of each train at a platform by combining the historical actual number of the passengers getting off each carriage of each train at a platform; the control module is used for receiving the number information in each carriage transmitted by the carriage number counting module and the getting-off number prediction information of each carriage at a platform uploaded by the data analysis module; the guiding module guides the passengers waiting for taking the bus, which enter the waiting room, so that the passengers waiting for taking the bus can go to a waiting area with less number of passengers to wait for the bus. The remaining passengers are predicted when the train compartment reaches a platform through accurate prediction, so that the passenger riding position can be accurately guided by the guiding module conveniently.
Description
Technical Field
The invention relates to the technical field of rail transit control, in particular to a passenger guidance system and a passenger guidance method for urban rail transit.
Background
Urban rail transit refers to subway systems, light rail systems, monorail systems, trams, magnetic levitation systems, automatic guide rail systems and urban area fast rail systems, wherein the subway systems are the most widely distributed at present and the urban rail transit with the most perfect construction is provided.
The subway train has a large length, so that the corresponding subway waiting room has a large length, and in order to disperse passengers in the waiting room as much as possible, in the prior art, the exits of stairs and elevators are mainly arranged in a dispersing manner, but the number of the stairs and the elevators entering the subway waiting room is limited, so that in practice, passengers are mainly concentrated at the exits of the stairs, the elevators and the like, so that the density of passengers in a carriage close to the exit of the stairs is high in a train carriage, and the density of passengers in a carriage far away from the exit of the stairs is relatively low.
Although there is the correlation technique who makes statistics of the carriage number among the prior art to the passenger of next platform guides according to each carriage number, when making statistics of the carriage number, subway carriage passenger density is big, the passenger flows greatly, the passenger motion is unordered and the door is the same for getting on or off in carriage, and traditional photoelectric counting, infrared count are inaccurate, and can't monitor the count to the stream of people between the adjacent carriage. On the other hand, the passengers at the next platform are guided according to the real-time number of passengers in the carriage, the number of passengers needing to get off at the next platform is ignored, and the accuracy of the guidance cannot be ensured.
Disclosure of Invention
The invention provides the urban rail transit passenger guidance system which can accurately guide the riding position of the passenger due to the defects of the existing rail system.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a passenger guidance system for urban rail transit comprises a carriage number counting module, a signal transmission module, a control module, a data analysis module and a guidance module;
the carriage number counting module is used for counting the number of persons in each carriage of a train and transmitting the number information obtained by counting to the control module through the signal transmission module;
the data analysis module is used for receiving the number information of the passengers in each carriage transmitted by the control module and predicting the number of the passengers getting off each carriage of each train at a platform by combining the historical actual number of the passengers getting off each carriage of each train at a platform;
the control module is used for receiving the number information in each carriage transmitted by the carriage number counting module and the getting-off number prediction information of each carriage at a platform uploaded by the data analysis module, and controlling the guide module to work according to the information uploaded by the carriage number counting module and the data analysis module;
the guidance module guides the passengers to be ridden entering the waiting room under the control of the control module, so that the passengers to be ridden go to a waiting area with less number of passengers to wait.
The method for guiding the passengers to be ridden in the waiting room by using the urban rail transit passenger guiding system comprises the following steps:
firstly, dividing the space of a waiting room along a midline to form two parts which are respectively used as waiting spaces of trains in two driving directions on corresponding platforms, and then dividing each waiting space into n waiting areas marked as A1, A2, a.
Step two, when the train is started from the previous platform, the number information of each carriage in the train is transmitted to a control module, the number of the carriages is marked as a1, a2, a.
Thirdly, performing statistical analysis on the historical getting-off number of people of each carriage at the next platform through a data analysis module, and predicting the number of people of each carriage getting-off at the next platform, wherein the predicted getting-off number of people of each carriage is marked as b1, b2, a.
Step four, when the train arrives at the next station, the predicted remaining number of people of each carriage is marked as R1, R2, R. According to the specific size of the predicted remaining number of the passengers R1, R2, R.
Further, the second train guidance method step is that the method for counting the number information of each carriage in the train by the carriage number counting module comprises the following steps:
s2.1, counting the number of passengers entering and leaving the compartment through a safety door by taking the compartment as a counting object;
the monitoring camera is arranged above the safety door of the train carriage, when the shielding door and the safety door of the train carriage are both opened, the number counting module of the carriage number reads video frame images of monitoring video information uploaded by the monitoring camera every preset time T1 between the time period that the shielding door and the safety door of the train carriage are both closed, and therefore 2 is obtainedjA video frame image of a page, wherein j is more than or equal to 2;
when two pictures are compared, reading the corner points of an object in each video frame picture by taking the object at a preset fixed position in a video monitoring area as a reference, and establishing a plane coordinate system by using at least two corner points of the object; identifying the person in the video frame image, judging whether the person is the same person by the shape, color and color distribution of the object, and reading 2jSuperposing the video frame images to obtain the motion track of the person in the monitoring area of the monitoring camera, so as to obtain the number of passengers entering and leaving the corresponding train carriage;
s2.2, a monitoring camera is arranged above the joint of the two adjacent train carriages and used for monitoring the space of the joint of the two adjacent train carriages, and the carriage number counting module reads video frame images of monitoring video information uploaded by the monitoring camera at intervals of preset time T1, so that 2 is obtainedjA video frame image of the page, whereinj≥2；
When two pictures are compared, reading the corner points of an object in each video frame picture by taking the object at a preset fixed position in a video monitoring area as a reference, and establishing a plane coordinate system by using at least two corner points of the object; identifying the person in the video frame image, determining whether the person is the same object by the shape, color and color distribution of the person, and reading 2jOverlapping the video frame images to obtain the motion track of the person in the monitoring area of the monitoring camera;
timing is started when a certain person enters a monitoring area of a monitoring camera between two adjacent carriages:
if the person is always in the monitoring area within the preset time T2, taking the person into the carriage where the person is before entering the monitoring area when the number of people is counted;
if the person only passes through one monitoring camera monitoring area at least once within the preset time T2, the person is brought into the carriage where the person passes through when the number of people is counted;
thirdly, if the person passes through the monitoring areas of the plurality of monitoring cameras for a plurality of times within the preset time T2, the person is brought into the carriage where the person passes through the last time when the number of people is counted;
and S2.3, obtaining the number of people in each carriage according to the statistical results in the step S2.1 and the step S2.2, and transmitting the information of the number of people in each carriage in the train to the control module through the signal transmission module when the train starts from a platform.
Further, the method for statistically analyzing the historical number of people getting off at the next platform in each carriage in the third step of the guidance method comprises the following steps:
s3.1, recording the actual number of getting-off passengers Q11, Q12, and Q1n in each carriage after a certain shift of train reaches a certain platform through a carriage number counting module, marking the actual number of getting-off passengers in each carriage as X11, X12, and X1n when the train reaches the platform, thereby obtaining the passenger ratio of each carriage at the platform as B11, B12, and B1n, wherein n is the number of passenger carriages of the train, B1i is Q1i/X1i, wherein i is not less than 1 and not more than n, and i is an integer;
s3.2, recording the actual passenger getting-off proportion of each carriage of the train at the platform on consecutive z days, wherein z is more than or equal to 2, the actual passenger getting-off proportion Bz1, Bz2,.. 9.. once. Bzn in each carriage on the z th day, calculating median values B1, B2,.. once.Bn of the passenger getting-off proportion of each carriage of the train at the platform according to historical data, continuously and statistically calculating the actual passenger getting-off proportion B (z +1)1, B (z +1)2,. once.B (z +1) n of each carriage of the train at the platform on the z +1 th day, comparing the actual passenger getting-off proportion B (z +1) i of each carriage of the train at the z +1 th day with the median value Bi corresponding to each compartment, and when the actual passenger getting-off proportion B (z +1) i of each carriage of the train on the z +1 th day is compared with the median value Bi corresponding to each carriage
When the value is smaller than the preset value q, replacing the longest actual passenger leaving proportion data in the previous z-times records with the actual passenger leaving proportion, and updating the actual passenger leaving proportion data to obtain average values B1, B2, the
Delaying Bi when the value is greater than or equal to a preset value q, wherein i is greater than or equal to 1 and less than or equal to n, and i is an integer;
s3.3, counting the historical getting-off number of each carriage of each shift of each platform on the rail transit line according to the methods of S3.1 and S3.2;
and S3.4, calculating the predicted getting-off number in each compartment after reaching the platform according to the actual number a1, a2, a.
In a preferred embodiment of the present invention, when the data analysis module is used to perform statistical analysis on the estimated number of train alighting persons, the working day and the rest day are counted separately, that is, when the actual number of train alighting persons at a certain platform in each carriage of any train in each shift is recorded in z days continuously, the working day is counted as a continuous period, and the rest day is counted as another continuous period.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the number of people in each carriage is monitored in real time through the carriage number counting module, and the historical actual getting-off number of people in each carriage is analyzed through the data analysis module, so that the getting-off number of people in each carriage of each class of subway train at one station can be predicted, and therefore, the remaining passengers can be predicted when the train carriage reaches one station, and the accurate guidance of the riding position of the passenger by the guidance module can be conveniently carried out.
2. The carriage number counting module is provided with a monitoring camera through the space above the carriage safety door and between two adjacent carriages, and the person motion tracks of the two areas are monitored, so that the number of people in the carriage is accurately monitored and counted.
Drawings
Fig. 1 is a block diagram showing the construction of an urban rail transit passenger guidance system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, taking a common rail vehicle-subway as an example, the invention provides a passenger guidance system, which comprises a carriage people number counting module, a signal transmission module, a control module, a data analysis module and a guidance module. The number counting module of the carriages is used for counting the number of people in each carriage of a train and transmitting the number information obtained by counting in each carriage to the control module through the signal transmission module. The data analysis module is used for receiving the number information of the passengers in each carriage transmitted by the control module and combining the historical actual number of the passengers getting off the subway train at one platform in each shift, so that the number of the passengers getting off the subway train at one platform in each shift is predicted. The control module is used for receiving the number information in each carriage transmitted by the carriage number counting module and the getting-off number prediction information of each carriage at a platform uploaded by the data analysis module, and controlling the guide module to work according to the uploading information of the carriage number counting module and the data analysis module. The guidance module guides the passengers to be ridden entering the subway waiting room under the control of the control module, so that the passengers to be ridden go to a waiting area with less number of passengers to wait.
The method for guiding the passenger to be taken in the subway waiting room by utilizing the urban rail transit passenger guiding system, namely the method for guiding the passenger to be taken in the subway by controlling the subway guiding module by the control module, is elaborated in detail as follows:
step one, dividing the space of a subway waiting room along a midline to form two parts which are respectively used as waiting spaces of trains in two driving directions on corresponding platforms, and then dividing each waiting space into n waiting areas marked as A1, A2, A.
And secondly, when the subway train is started from the previous platform, the number information of each carriage in the subway train is transmitted to the control module, the number of the carriages is marked as a1, a2, a. The specific method comprises the following steps:
and S2.1, counting the number of passengers entering and leaving the compartment through the safety door by taking the compartment as a counting object.
The monitoring camera is arranged above the safety door of the subway train carriage, when the shielding door and the safety door of the subway train carriage are both opened to a time period when the shielding door and the safety door of the subway train carriage are both closed, the carriage number counting module reads video frame images of monitoring video information uploaded by the monitoring camera at intervals of preset time T1, and therefore 2 is obtainedjAnd j is more than or equal to 2.
When the two pictures are compared, the object at the preset fixed position in the video monitoring area is taken as a reference, and the comparison is carried outAnd reading the corner points of the object in each video frame picture, and establishing a plane coordinate system by using at least two corner points of the object. Identifying the person in the video frame image, judging whether the person is the same person by the shape, color and color distribution of the object, and reading 2jAnd superposing the video frame images to obtain the motion track of the person in the monitoring area of the monitoring camera, so as to obtain the number of passengers entering and leaving the corresponding subway train carriage.
S2.2, arranging a monitoring camera above the joint of the two adjacent subway train carriages, wherein the monitoring camera is used for monitoring the space of the joint of the two adjacent subway train carriages, and the carriage number counting module reads the video frame image of the monitoring video information uploaded by the monitoring camera at intervals of preset time T1 so as to obtain 2jAnd j is more than or equal to 2.
When two pictures are compared, an object with a preset fixed position in a video monitoring area is taken as a reference, the corner points of the object in each video frame picture are read, and a plane coordinate system is established by at least two corner points of the object. Identifying the person in the video frame image, determining whether the person is the same object by the shape, color and color distribution of the person, and reading 2jAnd overlapping the video frame images to obtain the motion track of the person in the monitoring area of the monitoring camera.
Timing is started when a certain person enters a monitoring area of a monitoring camera between two adjacent carriages:
if the person is always in the monitored area within the preset time T2, the person is taken into the car before entering the monitored area when the number of people is counted.
Secondly, if the person only passes through one monitoring camera monitoring area at least once within the preset time T2, the person is brought into the carriage where the person passes through when the number of people is counted.
And thirdly, if the person passes through the monitoring areas of the plurality of monitoring cameras for a plurality of times within the preset time T2, the person is brought into the carriage where the person passes through the last time when the number of people is counted.
And S2.3, obtaining the number of people in each carriage according to the statistical results in the step S2.1 and the step S2.2, and transmitting the information of the number of people in each carriage in the subway to the control module through the signal transmission module when the subway train is started from one platform. Meanwhile, compared with the traditional photoelectric counting method, the monitoring counting method is more accurate and suitable for the conditions of more people and disordered traffic.
And thirdly, performing statistical analysis on the historical getting-off number of people of each carriage at the next platform through a data analysis module, and predicting the number of people of each carriage getting-off at the next platform, wherein the predicted getting-off number of people of each carriage is marked as b1, b2, a. The specific method comprises the following steps:
s3.1, recording the actual number of getting-off persons Q11, Q12, and Q1n in each carriage after a certain shift of train reaches a certain platform through a carriage person number counting module, marking the actual number of getting-off persons in each carriage as X11, X12, and X1n when the train reaches the platform, thereby obtaining passenger ratios of B11, B12, and B1n in each carriage of the platform, wherein n is the number of passenger carriages of the train, B1i is Q1i/X1i, wherein i is not less than 1 and not more than n, and i is an integer.
S3.2, recording the actual passenger getting-off proportion of each carriage of the train at the platform on consecutive z days, wherein z is more than or equal to 2, the actual passenger getting-off proportion Bz1, Bz2,.. 9.. once. Bzn in each carriage on the z th day, calculating median values B1, B2,.. once.Bn of the passenger getting-off proportion of each carriage of the train at the platform according to historical data, continuously and statistically calculating the actual passenger getting-off proportion B (z +1)1, B (z +1)2,. once.B (z +1) n of each carriage of the train at the platform on the z +1 th day, comparing the actual passenger getting-off proportion B (z +1) i of each carriage of the train at the z +1 th day with the median value Bi corresponding to each compartment, and when the actual passenger getting-off proportion B (z +1) i of each carriage of the train on the z +1 th day is compared with the median value Bi corresponding to each carriage
When the value is smaller than the preset value q, replacing the longest actual passenger leaving proportion data in the previous z-times records with the actual passenger leaving proportion, and updating the actual passenger leaving proportion data to obtain average values B1, B2, the
When the value is larger than or equal to a preset value q, delaying Bi, wherein i is larger than or equal to 1 and is smaller than or equal to n, and i is an integer.
And S3.3, counting the historical getting-off number of each carriage of each shift of each platform on the subway line according to the methods of S3.1 and S3.2.
And S3.4, calculating the predicted getting-off number in each compartment after reaching the platform according to the actual number a1, a2, a.
And step four, when the subway train arrives at the next station, the expected remaining number of people of each carriage is marked as R1, R2, R. According to the specific size of the predicted remaining number of people R1, R2, the waiting range A corresponding to the carriage with the smaller number of people is guided by passengers, and the guidance can adopt the modes of voice, light marking and the like, so that the effective utilization of the space of the subway carriage is ensured.
The invention calculates the passenger getting-off proportion of each carriage in the same shift and the same platform, thereby reducing or eliminating the influence of behavior habits on the number of forecasted people. In a preferred embodiment of the present invention, the data analysis module separately counts the working day and the rest day when performing statistical analysis on the estimated number of train passengers getting off, and specifically, when recording the actual number of train passengers getting off at a certain platform in each carriage of any one train on consecutive z days, the data analysis module counts the working day as one continuous period and counts the rest day as another continuous period. Because the passenger capacities of the same shift on the working days and the rest days are completely different, the separate counting can improve the guiding accuracy, and therefore the guiding module can conveniently make accurate guidance for the riding positions of passengers.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (5)
1. A passenger guidance system for urban rail transit is characterized by comprising a carriage number counting module, a signal transmission module, a control module, a data analysis module and a guidance module;
the carriage number counting module is used for counting the number of persons in each carriage of a train and transmitting the number information obtained by counting to the control module through the signal transmission module;
the data analysis module is used for receiving the number information of the passengers in each carriage transmitted by the control module and predicting the number of the passengers getting off each carriage of each train at a platform by combining the historical actual number of the passengers getting off each carriage of each train at a platform;
the control module is used for receiving the number information in each carriage transmitted by the carriage number counting module and the getting-off number prediction information of each carriage at a platform uploaded by the data analysis module, and controlling the guide module to work according to the information uploaded by the carriage number counting module and the data analysis module;
the guidance module guides the passengers to be ridden entering the waiting room under the control of the control module, so that the passengers to be ridden go to a waiting area with less number of passengers to wait.
2. The method for guiding passengers to be taken in a waiting room by using the urban rail transit passenger guidance system according to claim 1, characterized by comprising the steps of:
firstly, dividing the space of a waiting room along a midline to form two parts which are respectively used as waiting spaces of trains in two driving directions on corresponding platforms, and then dividing each waiting space into n waiting areas marked as A1, A2, a.
Step two, when the train is started from the previous platform, the number information of each carriage in the train is transmitted to a control module, the number of the carriages is marked as a1, a2, a.
Thirdly, performing statistical analysis on the historical getting-off number of people of each carriage at the next platform through a data analysis module, and predicting the number of people of each carriage getting-off at the next platform, wherein the predicted getting-off number of people of each carriage is marked as b1, b2, a.
Step four, when the train arrives at the next station, the predicted remaining number of people of each carriage is marked as R1, R2, R. According to the specific size of the predicted remaining number of the passengers R1, R2, R.
3. The guidance method of claim 2, wherein the second step is a method for counting the number of people in each car in the train by the car number counting module, which comprises the following steps:
s2.1, counting the number of passengers entering and leaving the compartment through a safety door by taking the compartment as a counting object;
the monitoring camera is arranged above the safety door of the train carriage, when the shielding door and the safety door of the train carriage are both opened, the number counting module of the carriage number reads video frame images of monitoring video information uploaded by the monitoring camera every preset time T1 between the time period that the shielding door and the safety door of the train carriage are both closed, and therefore 2 is obtainedjA video frame image of a page, wherein j is more than or equal to 2;
when the two pictures are compared, the object at the preset fixed position in the video monitoring area is taken as a reference, and the comparison is carried outReading the angular points of the object in each video frame picture, and establishing a plane coordinate system by using at least two angular points of the object; identifying the person in the video frame image, judging whether the person is the same person by the shape, color and color distribution of the object, and reading 2jSuperposing the video frame images to obtain the motion track of the person in the monitoring area of the monitoring camera, so as to obtain the number of passengers entering and leaving the corresponding train carriage;
s2.2, a monitoring camera is arranged above the joint of the two adjacent train carriages and used for monitoring the space of the joint of the two adjacent train carriages, and the carriage number counting module reads video frame images of monitoring video information uploaded by the monitoring camera at intervals of preset time T1, so that 2 is obtainedjA video frame image of a page, wherein j is more than or equal to 2;
when two pictures are compared, reading the corner points of an object in each video frame picture by taking the object at a preset fixed position in a video monitoring area as a reference, and establishing a plane coordinate system by using at least two corner points of the object; identifying the person in the video frame image, determining whether the person is the same object by the shape, color and color distribution of the person, and reading 2jOverlapping the video frame images to obtain the motion track of the person in the monitoring area of the monitoring camera;
timing is started when a certain person enters a monitoring area of a monitoring camera between two adjacent carriages:
if the person is always in the monitoring area within the preset time T2, taking the person into the carriage where the person is before entering the monitoring area when the number of people is counted;
if the person only passes through one monitoring camera monitoring area at least once within the preset time T2, the person is brought into the carriage where the person passes through when the number of people is counted;
thirdly, if the person passes through the monitoring areas of the plurality of monitoring cameras for a plurality of times within the preset time T2, the person is brought into the carriage where the person passes through the last time when the number of people is counted;
and S2.3, obtaining the number of people in each carriage according to the statistical results in the step S2.1 and the step S2.2, and transmitting the information of the number of people in each carriage in the train to the control module through the signal transmission module when the train starts from a platform.
4. The guidance method of claim 3, wherein the statistical analysis of the historical number of people getting off at the next platform in each car in the third step comprises:
s3.1, recording the actual number of getting-off passengers Q11, Q12, and Q1n in each carriage after a certain shift of train reaches a certain platform through a carriage number counting module, marking the actual number of getting-off passengers in each carriage as X11, X12, and X1n when the train reaches the platform, thereby obtaining the passenger ratio of each carriage at the platform as B11, B12, and B1n, wherein n is the number of passenger carriages of the train, B1i is Q1i/X1i, wherein i is not less than 1 and not more than n, and i is an integer;
s3.2, recording the actual passenger getting-off proportion of each carriage of the train at the platform on consecutive z days, wherein z is more than or equal to 2, the actual passenger getting-off proportion Bz1, Bz2,.. 9.. once. Bzn in each carriage on the z th day, calculating median values B1, B2,.. once.Bn of the passenger getting-off proportion of each carriage of the train at the platform according to historical data, continuously and statistically calculating the actual passenger getting-off proportion B (z +1)1, B (z +1)2,. once.B (z +1) n of each carriage of the train at the platform on the z +1 th day, comparing the actual passenger getting-off proportion B (z +1) i of each carriage of the train at the z +1 th day with the median value Bi corresponding to each compartment, and when the actual passenger getting-off proportion B (z +1) i of each carriage of the train on the z +1 th day is compared with the median value Bi corresponding to each carriage
When the value is smaller than the preset value q, replacing the longest actual passenger leaving proportion data in the previous z-times records with the actual passenger leaving proportion, and updating the actual passenger leaving proportion data to obtain average values B1, B2, the
When the value is larger than or equal to the preset value q, delaying the use of Bi,wherein i is more than or equal to 1 and less than or equal to n, and i is an integer;
s3.3, counting the historical getting-off number of each carriage of each shift of each platform on the rail transit line according to the methods of S3.1 and S3.2;
and S3.4, calculating the predicted getting-off number in each compartment after reaching the platform according to the actual number a1, a2, a.
5. The guidance method of claim 4, wherein the data analysis module separately counts working days and rest days when performing the statistical analysis of the expected number of people getting off, that is, when recording the actual number of people getting off at a certain platform for each carriage of the train of any shift for z consecutive days, the data analysis module counts working days as one continuous period and rest days as another continuous period.
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| CN112347864A (en) * | 2020-10-21 | 2021-02-09 | 北京市地铁运营有限公司地铁运营技术研发中心 | Method, device, equipment and system for sensing and inducing rail transit passenger flow |
| CN112693496A (en) * | 2021-01-07 | 2021-04-23 | 支付宝(杭州)信息技术有限公司 | Riding reminding processing method and device for railway train |
| CN112749651A (en) * | 2020-12-31 | 2021-05-04 | 同济大学 | Rail transit people flow prediction system |
| CN113276913A (en) * | 2021-05-25 | 2021-08-20 | 五邑大学 | Method and system for dynamically balancing passenger flow of subway carriage |
| CN114554067A (en) * | 2022-03-28 | 2022-05-27 | 广西高重厚泽科技有限公司 | Automatic detection system for congestion degree of subway carriage |
| CN114822261A (en) * | 2022-05-10 | 2022-07-29 | 成都唐源智控技术有限责任公司 | Subway passenger waiting guiding method |
| CN115988413A (en) * | 2022-12-21 | 2023-04-18 | 北京工业职业技术学院 | Train operation supervision platform based on sensing network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2011712A1 (en) * | 2007-07-06 | 2009-01-07 | Siemens Schweiz AG | Information system for passengers on the platform |
| CN106373421A (en) * | 2016-11-30 | 2017-02-01 | 中冶赛迪工程技术股份有限公司 | Passenger guiding system and method for station of urban rail transit |
| CN108082226A (en) * | 2017-12-27 | 2018-05-29 | 河南辉煌城轨科技有限公司 | A kind of subway platform passenger loading guides system |
| CN108197552A (en) * | 2017-12-28 | 2018-06-22 | 河南辉煌城轨科技有限公司 | Urban track traffic for passenger flow early warning system |
-
2020
- 2020-05-13 CN CN202010402941.3A patent/CN111553314B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2011712A1 (en) * | 2007-07-06 | 2009-01-07 | Siemens Schweiz AG | Information system for passengers on the platform |
| CN106373421A (en) * | 2016-11-30 | 2017-02-01 | 中冶赛迪工程技术股份有限公司 | Passenger guiding system and method for station of urban rail transit |
| CN108082226A (en) * | 2017-12-27 | 2018-05-29 | 河南辉煌城轨科技有限公司 | A kind of subway platform passenger loading guides system |
| CN108197552A (en) * | 2017-12-28 | 2018-06-22 | 河南辉煌城轨科技有限公司 | Urban track traffic for passenger flow early warning system |
Non-Patent Citations (1)
| Title |
|---|
| 曹毅等: "地铁站台导航系统", 《物联网技术》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347864A (en) * | 2020-10-21 | 2021-02-09 | 北京市地铁运营有限公司地铁运营技术研发中心 | Method, device, equipment and system for sensing and inducing rail transit passenger flow |
| CN112749651A (en) * | 2020-12-31 | 2021-05-04 | 同济大学 | Rail transit people flow prediction system |
| CN112693496A (en) * | 2021-01-07 | 2021-04-23 | 支付宝(杭州)信息技术有限公司 | Riding reminding processing method and device for railway train |
| CN113276913A (en) * | 2021-05-25 | 2021-08-20 | 五邑大学 | Method and system for dynamically balancing passenger flow of subway carriage |
| CN113276913B (en) * | 2021-05-25 | 2022-11-01 | 五邑大学 | Method and system for dynamically balancing passenger flow of subway carriage |
| CN114554067A (en) * | 2022-03-28 | 2022-05-27 | 广西高重厚泽科技有限公司 | Automatic detection system for congestion degree of subway carriage |
| CN114822261A (en) * | 2022-05-10 | 2022-07-29 | 成都唐源智控技术有限责任公司 | Subway passenger waiting guiding method |
| CN115988413A (en) * | 2022-12-21 | 2023-04-18 | 北京工业职业技术学院 | Train operation supervision platform based on sensing network |
| CN115988413B (en) * | 2022-12-21 | 2024-05-07 | 北京工业职业技术学院 | Train operation supervision platform based on sensor network |
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