CN109034116A - Density of stream of people detection method and system - Google Patents
Density of stream of people detection method and system Download PDFInfo
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Abstract
The invention discloses a kind of density of stream of people detection method and systems, density of stream of people detection method is applied to density of stream of people detection device, density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, method includes: that PIS system receives the train operation signal that TCMS system reports, door contact interrupter, speed signal, forecasting station/trigger signal of arriving at a station etc. are obtained from train operation signal, and pass to density of stream of people detection device；Density of stream of people detection device is carried out in train according to train arrival trigger signal or station density of stream of people situation analysis, and analysis result grade is sent to OCC-TPA platform；OCC-TPA platform summarizes the density of stream of people data and vehicle operating information of each vehicle, provides calling interface using platform for other.The present invention may be implemented to carry out intellectual monitoring to density of stream of people inside and outside train by the above method, improves density of stream of people detection accuracy, and can carry out in time the stream of people and dredge, avoids security risk.
Description
Technical field
The present invention relates to technical field of rail traffic more particularly to a kind of density of stream of people detection methods and system.
Background technique
With Chinese city economy, the quickening of social sustained and rapid development and urbanization paces, urban congestion goes out to citizen
Row brings inconvenience, and the vehicles such as subway, light rail, tramcar, high-speed rail are due to its convenient, fast, punctual operation
Advantage and increasingly become citizens' activities preferred traffic tool.
Currently, it is usually provided with vehicle-mounted passenger information system (PIS system) on the train of these field of track traffic,
PIS system provides real-time train information for passenger, and directing passengers are ridden.However during train operation, or in train
When starting, entering the station, since the stream of people springs up outside car, especially it is easy to happen in working peak time since the crowd is crowded
Uncertain security risk；And each compartment density of stream of people is inconsistent sometimes, is unfavorable for the reasonable utilization of cabin space；This
Outside, stream of people's variation inside subway carriage is occurred after train arrival, when switch for vehicle door, at this time if into
Pedestrian stream analysis is not accurate in fact.
Therefore, it is necessary to provide a solution, realize and intellectual monitoring is carried out to density of stream of people inside and outside train, improves people
Current density detection accuracy, and the stream of people can be carried out in time and dredged, to avoid security risk.
Summary of the invention
The present invention provides a kind of density of stream of people detection method and system, carries out intelligence to density of stream of people inside and outside train to realize
Monitoring improves density of stream of people detection accuracy, and can carry out in time the stream of people and dredge, and avoids security risk.
To achieve the above object, the present invention provides a kind of density of stream of people detection method, and the density of stream of people detection method is answered
For density of stream of people detection device, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection,
Detection method includes the following steps for the density of stream of people:
The PIS system receives the train operation signal that TCMS system reports, and column are obtained from the train operation signal
Vehicle arrives at a station trigger signal, and passes to the density of stream of people detection device, and the train arrival trigger signal includes: that car door is opened
Pass, speed signal, forecasting station/one of trigger signal of arriving at a station or a variety of；
The density of stream of people detection device receives the train arrival trigger signal that the PIS system is sent, according to the column
Vehicle arrives at a station in trigger signal progress train or station density of stream of people situation analysis, obtains analysis result grade, will analyze result etc.
Grade is sent to the OCC-TPA platform；
The OCC-TPA platform summarizes the density of stream of people data of each vehicle based on each analysis result grade received
And vehicle operating information, calling interface is provided using platform for other.
Wherein, the communication interface between the density of stream of people detection device and PIS system includes: 485, CAN and Ethernet
Interface.
Wherein, the density of stream of people detection device according to the train arrival trigger signal carry out train in or the station stream of people
Density case analysis obtains analysis result grade, will analyze the step of result grade is sent to the OCC-TPA platform and includes:
The density of stream of people detection device judges the type of the train arrival trigger signal；
If the train arrival trigger signal is door switch signal, car door detection logic is triggered, judges whether to trigger
It opens the door；
If triggering is opened the door, return to step: density of stream of people detection device judges the train arrival trigger signal
Type；
If not triggering enabling, judge whether that triggering is closed the door；
If triggering is closed the door, starts timer and carry out close the door detection and density of stream of people situation analysis, obtain testing result etc.
Grade, wherein detection number is at least 1 time；
It will test result grade and be sent to the OCC-TPA platform.
Wherein, after the density of stream of people detection device judges the step of type of the train arrival trigger signal, also
Include:
If the train arrival trigger signal is speed signal, speed signal detection logic is triggered, judges whether to raise speed
To pre-set velocity；
If so, carrying out density of stream of people detection and being analyzed according to detection case, testing result grade is obtained；
It will test result grade and be sent to the OCC-TPA platform.
Wherein, after the density of stream of people detection device judges the step of type of the train arrival trigger signal, also
Include:
If the train arrival trigger signal is forecasting station/trigger signal of arriving at a station, triggers forecasting station/detection of arriving at a station and patrol
Volume, judge whether to arrive at a station or arrive at a station；
If so, carrying out density of stream of people detection and being analyzed according to detection case, testing result grade is obtained；
It will test result grade and be sent to the OCC-TPA platform.
The present invention also proposes a kind of density of stream of people detection system, comprising: density of stream of people detection device, OCC-TPA platform and
PIS system, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, in which:
The PIS system, the train operation signal reported for receiving TCMS system, is obtained from the train operation signal
Train arrival trigger signal is taken, and passes to the density of stream of people detection device, the train arrival trigger signal includes: car door
Switch, speed signal, forecasting station/one of trigger signal of arriving at a station or a variety of；
The density of stream of people detection device, the train arrival trigger signal sent for receiving the PIS system, according to institute
State train arrival trigger signal carry out train in or station density of stream of people situation analysis, obtain analysis result grade, will analysis knot
Fruit grade is sent to the OCC-TPA platform；
The OCC-TPA platform, for summarizing the density of stream of people of each vehicle based on each analysis result grade received
Data and vehicle operating information provide calling interface using platform for other.
Wherein, the communication interface between the density of stream of people detection device and PIS system includes: 485, CAN and Ethernet
Interface.
The present invention also proposes a kind of density of stream of people detection system, comprising: density of stream of people detection device, OCC-TPA platform,
The density of stream of people detection that PIS system, memory, processor and being stored in can be run on the memory and on the processor
Program, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, the density of stream of people detection
Program realizes the step of density of stream of people detection method as described above when being executed by the processor.
Compared with prior art, a kind of density of stream of people detection method and system proposed by the present invention, PIS system receive TCMS system
The train operation signal that system reports obtains train arrival trigger signal from the train operation signal, and passes to the people
Current density detection device, the train arrival trigger signal include: door contact interrupter, speed signal, forecasting station/trigger signal of arriving at a station
One of or it is a variety of；Density of stream of people detection device receives the train arrival trigger signal that the PIS system is sent, according to described
Train arrival trigger signal carries out in train or station density of stream of people situation analysis, obtains analysis result grade, will analyze result
Grade is sent to the OCC-TPA platform；The OCC-TPA platform is summarized each based on each analysis result grade received
The density of stream of people data and vehicle operating information of vehicle, provide calling interface using platform for other.Pass through above-mentioned side as a result,
Method may be implemented to carry out intellectual monitoring to density of stream of people inside and outside train, improve density of stream of people detection accuracy, and can carry out in time
The stream of people dredges, and avoids security risk；In addition, the real-time number of the stream of people in compartment can be provided by intelligent video-image analytical technology
According to, the stream of people in same train difference compartment is dredged, simultaneously for personnel trip arrangement have biggish promotion work
With, and technical support is provided for traffic management department.
Detailed description of the invention
Fig. 1 is the present inventor's current density detection system configuration diagram；
Fig. 2 is the flow diagram of the present inventor's current density detection method embodiment；
Fig. 3 is to trigger car door detection logic according to door switch signal in the present inventor's current density detection method embodiment,
Carry out the application scenarios flow diagram of density of stream of people situation analysis；
Fig. 4 is to trigger speed signal detection logic according to speed signal in the present inventor's current density detection method embodiment,
Carry out the application scenarios flow diagram of density of stream of people situation analysis；
Fig. 5 be stand/arrive at a station according to weather report in the present inventor's current density detection method embodiment trigger signal triggering forecasting station/
It arrives at a station and detects logic, carry out the application scenarios flow diagram of density of stream of people situation analysis.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Term of the present invention is explained:
TCMS:Train Control Management System, Train Control management system
PIS:Passenger Information System, passenger information system.
The present invention program can be applied to rail vehicle technical field, be particularly suitable for Unmanned Systems.The present embodiment
It is illustrated with crewless train, but not limited to this.
Unmanned Systems refer to that absolutely not driver and crew member participate in, and vehicle is uniformly controlled control centre
The lower full-automatic operation of realization, automatic realization train suspend mode, wake-up, preparation, self-test, automatic running, parking and close door, and
Realize that the functions such as automatic recovery, including carwash can also be completed in the case where unattended in case of a fault.
The embodiment of the present invention mainly judges the stream of people from door contact interrupter, speed signal, forecasting station/trigger signal of arriving at a station
Density.The embodiment of the present invention is considered: because the subway stream of people has its fixed characteristic, stream of people's variation inside subway carriage is
After occurring mostly in train arrival, when switch for vehicle door, at this time if carrying out stream of people's analysis is not accurate in fact.Institute
With close the door, run in train to certain speed, report forecasting station when, intensity of passenger flow at this moment is relatively stable, thus more acurrate.In this way
Feedback levels be just of practical significance.
Specifically, Fig. 1 and Fig. 2 is please referred to, Fig. 1 is the present inventor's current density detection system configuration diagram；Fig. 2 is this hair
The flow diagram of bright density of stream of people detection method embodiment.
As shown in Figures 1 and 2, the embodiment of the present invention proposes a kind of density of stream of people detection method, the density of stream of people detection
Method is applied to density of stream of people detection device, the density of stream of people detection device and PIS system and OCC-TPA platform network communicates
Connection, detection method includes the following steps for the density of stream of people:
Step S1, the PIS system receives the train operation signal that TCMS system reports, from the train operation signal
Train arrival trigger signal is obtained, and passes to the density of stream of people detection device, the train arrival trigger signal includes: vehicle
Door switch, speed signal, forecasting station/one of trigger signal of arriving at a station or a variety of；
Step S2, the density of stream of people detection device receive the train arrival trigger signal that the PIS system is sent, according to
The train arrival trigger signal carries out in train or station density of stream of people situation analysis, obtains analysis result grade, will analyze
As a result grade is sent to the OCC-TPA platform；
Wherein, density of stream of people detection device can be set in compartment, also can be set AT STATION, density of stream of people inspection
Measurement equipment may include camera, either carry out stream of people's acquisition using the camera in setting AT STATION or in compartment, obtain
Stream of people's video or picture analyze stream of people's data of acquisition, obtain the density of stream of people situation in compartment or on station.
In addition, analysis result grade can also be reported to vehicle-mounted monitoring net by In-vehicle networking by density of stream of people detection device
Network.
Wherein, when carrying out density of stream of people analysis, following scheme can be used:
In each guest room, (compartment) cabinet increases a set of intellectual analysis board, uses the realtime graphic type of guest room video camera
Calculation method carries out calculating analysis；It is realized more by image recognition+machine learning model for the practical passenger flow situation of this route
The density of stream of people of a (such as 5-10) grade judges (for example, level-one density of stream of people is less than the first threshold as compartment nobody or number
Value；Second level density of stream of people is number in compartment between first threshold and second threshold；And so on), it can be eachly
The analysis of iron transit tunnel is primary as a result, the road 2-4 video flowing, independent analysis result can be used in each board.
When carrying out image analysis, by intelligent video-image analytical technology, and deep neural network algorithm can be combined,
The real time data of the stream of people in compartment can be provided, the stream of people in same train difference compartment is dredged, is gone out simultaneously for personnel
Capable arrangement has biggish facilitation, and provides technical support for traffic management department.
Step S3, for the OCC-TPA platform based on each analysis result grade received, the stream of people for summarizing each vehicle is close
Degree accordingly and vehicle operating information, provides calling interface using platform for other.
OCC-TPA platform based on each analysis result grade received, summarize each vehicle density of stream of people data and
Vehicle operating information provides calling interface using platform for other.
Wherein, the communication interface between the density of stream of people detection device and PIS system includes: 485, CAN and Ethernet
Interface.
The density of stream of people detection device is carried out in train according to the train arrival trigger signal or station density of stream of people
Situation analysis obtains analysis result grade, will analyze the step of result grade is sent to the OCC-TPA platform and includes:
The density of stream of people detection device judges the type of the train arrival trigger signal；
If the train arrival trigger signal is door switch signal, car door detection logic is triggered, judges whether to trigger
It opens the door；
If triggering is opened the door, return to step: density of stream of people detection device judges the train arrival trigger signal
Type；
If not triggering enabling, judge whether that triggering is closed the door；
If triggering is closed the door, starts timer and carry out close the door detection and density of stream of people situation analysis, obtain testing result etc.
Grade, wherein detection number is at least 1 time；
It will test result grade and be sent to the OCC-TPA platform.
The process of above-mentioned application scenarios is referred to shown in Fig. 3.
Further, the density of stream of people detection device judge the step of type of the train arrival trigger signal it
Afterwards, further includes:
If the train arrival trigger signal is speed signal, speed signal detection logic is triggered, judges whether to raise speed
To pre-set velocity (such as 30KM/h)；
If so, carrying out density of stream of people detection and being analyzed according to detection case, testing result grade is obtained；
It will test result grade and be sent to the OCC-TPA platform.
The process of above-mentioned application scenarios is referred to shown in Fig. 4.
Further, the density of stream of people detection device judge the step of type of the train arrival trigger signal it
Afterwards, further includes:
If the train arrival trigger signal is forecasting station/trigger signal of arriving at a station, triggers forecasting station/detection of arriving at a station and patrol
Volume, judge whether to arrive at a station or arrive at a station；
If so, carrying out density of stream of people detection and being analyzed according to detection case, testing result grade is obtained；
It will test result grade and be sent to the OCC-TPA platform.
The process of above-mentioned application scenarios is referred to shown in Fig. 5.
Compared with prior art, a kind of density of stream of people detection method and system proposed by the present invention, PIS system receive TCMS system
The train operation signal that system reports obtains train arrival trigger signal from the train operation signal, and passes to the people
Current density detection device, the train arrival trigger signal include: door contact interrupter, speed signal, forecasting station/trigger signal of arriving at a station
One of or it is a variety of；Density of stream of people detection device receives the train arrival trigger signal that the PIS system is sent, according to described
Train arrival trigger signal carries out in train or station density of stream of people situation analysis, obtains analysis result grade, will analyze result
Grade is sent to the OCC-TPA platform；The OCC-TPA platform is summarized each based on each analysis result grade received
The density of stream of people data and vehicle operating information of vehicle, provide calling interface using platform for other.Pass through above-mentioned side as a result,
Method may be implemented to carry out intellectual monitoring to density of stream of people inside and outside train, improve density of stream of people detection accuracy, and can carry out in time
The stream of people dredges, and avoids security risk.
In addition, by intelligent video-image analytical technology, and can be adaptive strong in conjunction with deep neural network algorithm, it fits
With subway complex environment, accuracy rate is greater than 95%, can provide 5-10 grades of density classifications.The real-time number of the stream of people in compartment can be provided
According to, the stream of people in same train difference compartment is dredged, simultaneously for personnel trip arrangement have biggish promotion work
With, and technical support is provided for traffic management department.
Present system can use embedded system (ARM+CPU), and low in energy consumption, processing capacity is powerful, while support 4 tunnels
Analysis, stability and high reliablity, anti-vibration, operating temperature can spend~70 degree -15.
Compared with prior art, the present invention has a characteristic that
1, using existing guest room camera, vehicle wiring is not influenced；
2, Late reformation construction is fairly simple；
3, the image that can use in practical compartment is constantly learnt, the accurate practical shadow for adapting to different automobile types compartment
Picture；
4, it links, can not be detected when stopping with PIS, when section traveling is detected；Passenger flow collection fusion when avoiding upper-lower door
The inaccuracy of result caused by change.
In addition, the present invention also proposes a kind of density of stream of people detection system, comprising: density of stream of people detection device, OCC-TPA are flat
Platform and PIS system, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, in which:
The PIS system, the train operation signal reported for receiving TCMS system, is obtained from the train operation signal
Train arrival trigger signal is taken, and passes to the density of stream of people detection device, the train arrival trigger signal includes: car door
Switch, speed signal, forecasting station/one of trigger signal of arriving at a station or a variety of；
The density of stream of people detection device, the train arrival trigger signal sent for receiving the PIS system, according to institute
State train arrival trigger signal carry out train in or station density of stream of people situation analysis, obtain analysis result grade, will analysis knot
Fruit grade is sent to the OCC-TPA platform；
The OCC-TPA platform, for summarizing the density of stream of people of each vehicle based on each analysis result grade received
Data and vehicle operating information provide calling interface using platform for other.
Communication interface between the density of stream of people detection device and PIS system includes: 485, CAN and Ethernet interface.
The present embodiment realizes the principle of density of stream of people detection, asks parameter the various embodiments described above, details are not described herein.
Further, the present invention also proposes a kind of density of stream of people detection system, comprising: density of stream of people detection device, OCC-
TPA platform, PIS system, memory, processor and it is stored in the stream of people that can be run on the memory and on the processor
Density Detection program, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, the stream of people
Density Detection program realizes the step of density of stream of people detection method as described above when being executed by the processor, no longer superfluous herein
It states.
It should be noted that the serial number of the above embodiments of the invention is only for description, do not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage as above
In medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, TV
Machine, computer etc.) method that executes each embodiment of the present invention.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all utilizations
Equivalent structure made by description of the invention and accompanying drawing content or process transformation, are applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (8)
1. a kind of density of stream of people detection method, which is characterized in that the density of stream of people detection method is detected applied to density of stream of people
Equipment, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, the density of stream of people detection
Method the following steps are included:
The PIS system receives the train operation signal that TCMS system reports, obtained from the train operation signal train to
It stands trigger signal, and passes to the density of stream of people detection device, the train arrival trigger signal includes: door contact interrupter, speed
Spend signal, forecasting station/one of trigger signal of arriving at a station or a variety of；
The density of stream of people detection device receives the train arrival trigger signal that the PIS system is sent, and is arrived according to the train
Trigger signal of standing carries out in train or station density of stream of people situation analysis, obtains analysis result grade, by analysis result grade hair
It send to the OCC-TPA platform；
The OCC-TPA platform based on each analysis result grade received, summarize each vehicle density of stream of people data and
Vehicle operating information provides calling interface using platform for other.
2. the method according to claim 1, wherein between the density of stream of people detection device and PIS system
Communication interface includes: 485, CAN and Ethernet interface.
3. the method according to claim 1, wherein the density of stream of people detection device is according to the train arrival
Trigger signal carries out in train or station density of stream of people situation analysis, obtains analysis result grade, and analysis result grade is sent
Include: to the step of OCC-TPA platform
The density of stream of people detection device judges the type of the train arrival trigger signal；
If the train arrival trigger signal is door switch signal, car door detection logic is triggered, judges whether that triggering is opened the door；
If triggering is opened the door, return to step: density of stream of people detection device judges the type of the train arrival trigger signal；
If not triggering enabling, judge whether that triggering is closed the door；
If triggering is closed the door, starts timer and carries out close the door detection and density of stream of people situation analysis, obtain testing result grade,
Middle detection number is at least 1 time；
It will test result grade and be sent to the OCC-TPA platform.
4. according to the method described in claim 3, it is characterized in that, the density of stream of people detection device judges the train arrival
After the step of type of trigger signal, further includes:
If the train arrival trigger signal is speed signal, speed signal detection logic is triggered, judges whether speed-raising in advance
If speed；
If so, carrying out density of stream of people detection and being analyzed according to detection case, testing result grade is obtained；
It will test result grade and be sent to the OCC-TPA platform.
5. according to the method described in claim 3, it is characterized in that, the density of stream of people detection device judges the train arrival
After the step of type of trigger signal, further includes:
If the train arrival trigger signal is forecasting station/trigger signal of arriving at a station, forecasting station/arrive at a station and detect logic is triggered, is sentenced
It is disconnected whether to arrive at a station or arrive at a station；
If so, carrying out density of stream of people detection and being analyzed according to detection case, testing result grade is obtained；
It will test result grade and be sent to the OCC-TPA platform.
6. a kind of density of stream of people detection system characterized by comprising density of stream of people detection device, OCC-TPA platform and PIS
System, the density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, in which:
The PIS system, the train operation signal reported for receiving TCMS system obtain column from the train operation signal
Vehicle arrives at a station trigger signal, and passes to the density of stream of people detection device, and the train arrival trigger signal includes: that car door is opened
Pass, speed signal, forecasting station/one of trigger signal of arriving at a station or a variety of；
The density of stream of people detection device, the train arrival trigger signal sent for receiving the PIS system, according to the column
Vehicle arrives at a station in trigger signal progress train or station density of stream of people situation analysis, obtains analysis result grade, will analyze result etc.
Grade is sent to the OCC-TPA platform；
The OCC-TPA platform, for summarizing the density of stream of people data of each vehicle based on each analysis result grade received
And vehicle operating information, calling interface is provided using platform for other.
7. system according to claim 6, which is characterized in that between the density of stream of people detection device and PIS system
Communication interface includes: 485, CAN and Ethernet interface.
8. a kind of density of stream of people detection system characterized by comprising density of stream of people detection device, OCC-TPA platform, PIS system
The density of stream of people detection program that system, memory, processor and being stored in can be run on the memory and on the processor,
The density of stream of people detection device and PIS system and OCC-TPA platform network communication connection, the density of stream of people detect program quilt
The step of density of stream of people detection method as described in any one of claims 1 to 5 is realized when the processor executes.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112092838A (en) * | 2019-06-17 | 2020-12-18 | 株洲中车时代电气股份有限公司 | Early warning system, method and device based on train pedestrian flow distribution |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120107602A (en) * | 2011-03-22 | 2012-10-04 | 주식회사 네비웨이 | Passenger safeguard system in bus stop |
| CN103303343A (en) * | 2013-06-20 | 2013-09-18 | 南车南京浦镇车辆有限公司 | Train network control method of automatic stop announcement of PIS |
| CN105539520A (en) * | 2015-12-01 | 2016-05-04 | 天津市北海通信技术有限公司 | Wireless mobile station reporting platform based on PIS |
| CN107351870A (en) * | 2017-06-16 | 2017-11-17 | 深圳市盛路物联通讯技术有限公司 | A kind of passenger's bootstrap technique and system |
| CN107945352A (en) * | 2017-11-10 | 2018-04-20 | 同济大学 | Bus passenger flow data acquisition equipment and OD analysis systems |
| CN108394428A (en) * | 2018-01-18 | 2018-08-14 | 南京熊猫电子股份有限公司 | Subway carriage passenger flow based on mobile phone IMSI detection techniques guides system and method |
-
2018
- 2018-08-23 CN CN201810963578.5A patent/CN109034116A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120107602A (en) * | 2011-03-22 | 2012-10-04 | 주식회사 네비웨이 | Passenger safeguard system in bus stop |
| CN103303343A (en) * | 2013-06-20 | 2013-09-18 | 南车南京浦镇车辆有限公司 | Train network control method of automatic stop announcement of PIS |
| CN105539520A (en) * | 2015-12-01 | 2016-05-04 | 天津市北海通信技术有限公司 | Wireless mobile station reporting platform based on PIS |
| CN107351870A (en) * | 2017-06-16 | 2017-11-17 | 深圳市盛路物联通讯技术有限公司 | A kind of passenger's bootstrap technique and system |
| CN107945352A (en) * | 2017-11-10 | 2018-04-20 | 同济大学 | Bus passenger flow data acquisition equipment and OD analysis systems |
| CN108394428A (en) * | 2018-01-18 | 2018-08-14 | 南京熊猫电子股份有限公司 | Subway carriage passenger flow based on mobile phone IMSI detection techniques guides system and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112092838A (en) * | 2019-06-17 | 2020-12-18 | 株洲中车时代电气股份有限公司 | Early warning system, method and device based on train pedestrian flow distribution |
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