CN106651730A - System and method for metro passenger flow early warning based on passenger flow density and gate pass time - Google Patents
System and method for metro passenger flow early warning based on passenger flow density and gate pass time Download PDFInfo
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Abstract
The present invention discloses a system and method for metro passenger flow early warning based on the passenger flow density and the gate pass time. The system comprises a passenger flow data collection unit, a gate pass time calculation unit, a passenger flow dynamic analysis unit and an early warning measure feedback unit. The system and method for the metro passenger flow early warning based on the passenger flow density and the gate pass time are suitable for the passenger flow early warning in the urban subway station in the condition of sudden increasing of the passenger flow. The system provided by the invention comprehensively considers the pedestrian congestion behavior generated at the exit gate and the normal walking behavior of a pedestrian walking area in the metro to overcome the limitation of the simple quantitative method which only takes the video data collection as the basis and takes the density as the assessment index, the early warning mechanism is more scientific, the feedback result is more accurate and practical, and the system provided by the invention only needs to perform detection and analysis of the passenger flow density of the passenger flow density in the metro station and the gate portion so that the calculation is concise.
Description
Technical field
It is the present invention relates to passenger flow early warning system and method in a kind of subway station more particularly to a kind of based on intensity of passenger flow and lock
The metro passenger flow early warning system of machine transit time and method.
Background technology
Subway is increasingly favored because of its quick punctual characteristic by Urban Traffic person, with entering for subway line net layout
One step is perfect, and share rate of the subway in urban public transport system is improved constantly, and passenger flow is also further increased.Bringing economy
While benefit, the load of station delivery is also exacerbated, slow down passenger flow speed, cause subway concourse crowded.Not only reduce service
Level, affects passenger's trip impression, while also bringing potential safety hazard.Therefore, passenger flow information is timely and accurately grasped, fortune is understood
Row state, targetedly carries out early warning to large passenger flow, can effectively improve station environment, improves passage rate, alleviates big
The transport pressure that passenger flow is brought, ensures safety.
Metro passenger flow early warning is, according to situation about observing and the conventional rule summarized, to obtain the omen of probability, Xiang Xiang
GUAN spot door sends out an emergency signal, reported hazard situation, it is to avoid cause danger in the case of ignorant or preparation deficiency, so as to most
The attenuating loss of big degree.Metro passenger flow early warning mainly includes subway concourse service facility is investigated and analyzed, in station
Passenger flow mobility status are estimated and prediction, make classification by influence degree and congestion scope and warn and shift to an earlier date proclamation form of prediction, core
The heart is that the carrying out to the pedestrian density in the range of evacuation is accurately calculated.
At present metro passenger flow early warning generally based on image information collecting, by pedestrian space movement it is whether smooth enter
Row judges whether to need early warning, and this technology does not generally consider the matter of time that subway station one skilled in the art evacuates, while not examining yet
Consider the diversity of pedestrian's mobile space, simply by gate, elevator and other space equivalent processes, early warning mechanism is relatively easy,
Growing metro passenger flow demand can not be met.
The content of the invention
Goal of the invention：For problem above, the present invention proposes a kind of based on intensity of passenger flow and the subway of gate transit time
Passenger flow early warning system and method.
Technical scheme：To realize the purpose of the present invention, the technical solution adopted in the present invention is：One kind is based on intensity of passenger flow
With the metro passenger flow method for early warning of gate transit time, comprise the following steps：
(1) the region passenger flow number in the environmental data and unit interval of video camera shooting area is gathered and records, and will
The data Cun Chudao intensity of passenger flow data base for collecting；
(2) passengers quantity for reaching and leaving away in the unit interval is obtained by video data, and stores data into gate
Transit time data storehouse；
(3) data, zoning intensity of passenger flow are extracted from intensity of passenger flow data base；
(4) data are extracted from gate transit time data storehouse, is calculated to be queued up at gate mean transit time and gate and is taken advantage of
Objective number；
(5) analyzed area intensity of passenger flow and gate mean transit time, if exceeding threshold value of warning, are reported to the police, and are given
Treatment measures, are adjusted to passenger flow state in subway；
(6) said process is repeated, until analysis result is less than threshold value of warning.
Environmental data described in step (1) is the area of shooting area；The calculating of region intensity of passenger flow is public in step (3)
Formula is：
D=P/A
Wherein, D is region intensity of passenger flow, and P is the region passenger flow number in the unit time, and A is the area of shooting area.
The computing formula of gate mean transit time is in step (4)：
The computing formula of queuing ridership is at gate：
Wherein, WsFor gate mean transit time, LsFor queuing ridership at gate, λ is that single ticket checking machine is new in the unit time
The quantity of passenger is reached, μ is single ticket checking machine service ability in the unit time, and ρ is gate service intensity, and numerical value is the ratio of λ and μ
Value.
A kind of metro passenger flow early warning system based on intensity of passenger flow and gate transit time, including intensity of passenger flow data acquisition
Unit, gate are by time calculating unit, intensity of passenger flow dynamic analytic unit and Forewarning Measures feedback unit；Intensity of passenger flow data
Collecting unit, for gathering and recording the region passenger flow number in subway station in the environmental data and unit interval in certain region；Lock
Machine passes through time calculating unit, for calculating passenger by the necessary time needed for gate；Intensity of passenger flow dynamic analytic unit, uses
The time needed for subway station is left in calculating passenger；Forewarning Measures feedback unit, for evaluating the passenger flow dispersal plan having been carried out,
The passenger flow dispersal plan low to evacuation efficiency is optimized.
Beneficial effect：Compared with prior art, the present invention takes into full account evacuation efficiency of the metro passenger flow at gate, not
It is simple to consider subway inner region intensity of passenger flow, passenger flow at gate is waited into number by time and passenger flow and is taken into account, subway
Region passenger flow early warning mechanism is more accurate, in the case of unchanged ferrum operation management cost, can greatly slow down ferrum station
Interior passenger flow jam.
Description of the drawings
Fig. 1 is the workflow schematic diagram of the metro passenger flow method for early warning of the present invention；
Fig. 2 is the alert status discrimination matrix schematic diagram of the present invention；
Fig. 3 is the subway subway concourse services plan schematic layout pattern of the present invention.
Specific embodiment
Technical scheme is further described with reference to the accompanying drawings and examples.
Metro passenger flow early warning system based on intensity of passenger flow and gate transit time of the present invention, including intensity of passenger flow
Data acquisition unit, gate are by time calculating unit, intensity of passenger flow dynamic analytic unit and Forewarning Measures feedback unit.
Intensity of passenger flow data acquisition unit, for gather and record environmental data of the subway station one skilled in the art in certain region and
Physical motion performance data；Gate passes through time calculating unit, for calculating passenger by the necessary time needed for gate；Passenger flow
Biomass dynamics analytic unit, for calculating the timing variations the time required to passenger leaves subway station；Forewarning Measures feedback unit, uses
In the passenger flow dispersal plan that evaluation has been carried out, the passenger flow dispersal plan to being unsatisfactory for evacuation efficiency is optimized.
The workflow schematic diagram of metro passenger flow method for early warning is as shown in figure 1, comprise the following steps：
(1) the regional environment data that video camera shoots are gathered and are recorded, gather the region passenger flow number in different time points,
And by acquired data storage to intensity of passenger flow data base；
(2) passengers quantity for reaching and leaving away in the unit interval is obtained by video data, and stores data into gate
Transit time data storehouse；
(3) passenger flow number data, and zoning intensity of passenger flow are extracted in intensity of passenger flow data base；
(4) passengers quantity for reaching and leaving away in the unit interval is extracted from gate transit time data storehouse, and calculates lock
The passengers quantity queued up at machine mean transit time and gate；
(5) analyzed area intensity of passenger flow and gate transit time, if exceeding threshold value of warning, are reported to the police, and remind subway
Staff evacuates passenger flow, and intensity of passenger flow Numerical results leave pre- in intensity of passenger flow dynamic analytic unit in subway station
Police region domain.
Alert status discrimination matrix in the case where high intensity of passenger flow, long gate are by time state as shown in Fig. 2 need to carry out visitor
Stream early warning is processed, and concrete threshold value of warning need to be determined by the long-term operation data in each subway station.
In step (1), according to the camera site of each video camera, the traffic in the video camera shooting area is gathered and recorded
Environmental data and pedestrian's physical motion performance data, need the data for recording to have the area A (m of video camera shooting area2), and take advantage of
Guest number P (people), so as to calculate intensity of passenger flow D (people/m2), as shown in Equation 1.
D=P/A 1
In step (2), according to passenger's brushing card data, obtain in the unit interval and reach and passengers quantity of leaving away, so as to calculate
Gate service intensity is obtained, according to formula 2 and formula 3 gate mean transit time W is calculatedsQueuing ridership L at (s) and gates
(people).
Wherein, λ is the quantity that single ticket checking machine newly reaches passenger in the unit time, and μ is single ticket checking machine service in the unit time
Ability, ρ is gate service intensity, and numerical value is the ratio of λ and μ.
Using the intensity of passenger flow data in intensity of passenger flow data acquisition unit, with reference to gate by taking advantage of in time calculating unit
Objective evacuation capacity, each moment intensity of passenger flow in quantitative analysis subway station, and real-time intensity of passenger flow numerical value is input to into early warning
Measure feedback unit, receives intensity of passenger flow real time data in intensity of passenger flow dynamic analytic unit, is carried out according to preset early warning mechanism
Judge, if Numerical results have been enter into prewarning area, by different situations suitable antifeedback measures are provided, to passenger flow in subway
State is adjusted, and repeats said process, until Numerical results leave prewarning area.
Intensity of passenger flow in metro area is obtained using image recognition technology, it is theoretical according to queueing theory, with gate service intensity
As feedback, metro passenger flow evacuation efficiency is analyzed, Real-time and Dynamic obtains intensity of passenger flow in more accurate subway station.Due to image
Technology of identification and gate service intensity have certain time difference, and collecting device used also has certain error, with above-mentioned side
The intensity of passenger flow that method is obtained can have certain deviation, therefore carry out feedback calculating according to implementation result, so as to obtain contentedly
The passenger flow early warning mechanism that ferrum operation management needs.
With reference to Fig. 3 and concrete case, the present invention will be further described.
It is as shown in Figure 3 typical urban rail traffic station subway concourse services plan schematic layout pattern, unilateral channel-type layout,
Comprising two groups of enter the station gates and two groups of outbound gates.
(1) gather and record pedestrian stream information data
The core data of intensity of passenger flow data and the big module of gate transit time two is gathered, general camera acquisition area is
20m2Rectangular area, by signal period length gather pedestrian stream information data, store data in history casualty data record
In unit, as shown in table 1, passenger flow data in 15 minutes is recorded.
Table 1
This early warning system mainly for the outbound evacuation and pre-alarming of passenger in subway station, by current subway station one skilled in the art on-line separation
Practical situation, only gather and store outbound passenger passenger flow data.Video camera is divided into A types, Type B according to data record object；
Wherein, A catalogs camera is used to record the passenger flow data in the outbound gate region of station hall layer；Type B videocorder be used for record stair and from
The passenger flow data in dynamic staircase region, records the connectivity building building staircase of station hall layer Zhong Lou buildings staircase region and platform and subway concourse
Region.
(2) monitoring and zoning intensity of passenger flow and gate transit time
Metro passenger flow has instantaneity and explosive feature with subway train in/out station, therefore whether passenger flow is outbound evacuate
Reaching warning level can not be according to the passenger flow data computational discrimination of short time, a length of 15 minutes when can set differentiation statistics, i.e.,
Using 15 minute datas in passenger flow data storehouse as differentiation radix.Required according to the real-time monitoring that passenger flow feature and early warning are evacuated, ground
Ferrum station can be adjusted to the statistics duration.
Region intensity of passenger flow in monitoring statisticss duration, monitoring camera-shooting zone leveling passenger flow number B1For 67 people, B2For 51
People, then B1The intensity of passenger flow in region is D=P/A=67/20=3.35 people/m2, B2The intensity of passenger flow in region is D=P/A=51/
20=2.55 people/m2。
According to《Metro design code》(GB 50157-20139.3.14), all types of ticket checking machine maximum tonnage capacities exist
1200～1800 people/gate hour, when calculating gate group service ability, it is 2.5s/ people to take single ticket checking machine mean transit time,
Then handling capacity is 1440 people/gate hour.Gate transit time in counting statistics duration, A1、A2Monitor area gate group
Per group opens up 4 groups of gates, and according to monitoring data database data and formula 1-3, two region gate transit times are calculated such as the institute of table 2
Show.
Table 2
(3) intensity of passenger flow dynamic analysis
According to《Metro design code》(GB 50157-2013), the station passage intensity of passenger flow upper limit is 0.33m2/ people, i.e., 3
People/m2, in this, as the standard that high density passenger flow judges.Judged with this, B1Region passenger flow is in high density, B2Region passenger flow is not
In high density.
Gate transit time differentiates carries out standard setting according to actual operation data, typically there is passenger flow in historical data
State when congestion need to be evacuated is used as the criteria for classifying.A1Region gate group service intensity reaches 0.90, and mean transit time is
13.75s, average queue number is 4.95 people；A2Region gate group service intensity reaches 0.75, and mean transit time is 6.25s,
Average queue number is 1.88 people.Time discrimination standard is passed through as long gate using 10s gates mean transit time, thus A1Area
Domain gate enters long gate by time range, and A2Region gate is not then in this scope.
(4) alert status differentiate
Analyzed according to intensity of passenger flow dynamic, draw A1Region, by time state, enters in high density passenger flow, long gate
Passenger flow evacuation and pre-alarming region, need to take corresponding measure；A2Region is not entered then in high density passenger flow, general gate by the time
Enter passenger flow evacuation and pre-alarming region, can not temporarily take counter-measure.
(5) treatment measures and feedback
Under passenger flow alert status, the reality that station driving person on duty should be in real time to operation control centre report station is crowded
Situation, operation control centre dispatcher contact depot dispatcher on duty and online train operator, adjust train speed, and control is arrived at a station
Time, optimize train scheduling.In combination with station layout, strengthen passenger's road navigation information service of hovering, adjust into braker
Ratio etc..
Concrete treatment measures are different with handbook according to the emergent specification of each subway, in this case, A1Region is due to lock
Unit is in high load capacity service state, therefore sets up gate quantity and can effectively reduce gate by time and queue number.Can examine
Consider existing A14 outbound gates in region are set up as 5 outbound gates.Calculated such as the institute of table 3 according to corrective measure implementation result
Show, gate is down to 5.8s by the time, average queue number is down to 1.68 people, have left passenger flow prewarning area.
Table 3
Claims (4)
1. a kind of metro passenger flow method for early warning based on intensity of passenger flow and gate transit time, it is characterised in that：Including following step
Suddenly：
(1) the region passenger flow number in the environmental data and unit interval of video camera shooting area is gathered and records, and will collection
The data Cun Chudao intensity of passenger flow data base for arriving；
(2) passengers quantity for reaching and leaving away in the unit interval is obtained by video data, and stores data into gate and passed through
Temporal database；
(3) data, zoning intensity of passenger flow are extracted from intensity of passenger flow data base；
(4) data are extracted from gate transit time data storehouse, queuing ridership at gate mean transit time and gate is calculated；
(5) analyzed area intensity of passenger flow and gate mean transit time, if exceeding threshold value of warning, are reported to the police, and provide process
Measure, is adjusted to passenger flow state in subway；
(6) repeat step (1)-(5), until analysis result is less than threshold value of warning.
2. the metro passenger flow method for early warning based on intensity of passenger flow and gate transit time according to claim 1, its feature
It is：Environmental data described in step (1) is the area of shooting area；The computing formula of region intensity of passenger flow in step (3)
For：
D=P/A
Wherein, D is region intensity of passenger flow, and P is the region passenger flow number in the unit time, and A is the area of shooting area.
3. the metro passenger flow method for early warning based on intensity of passenger flow and gate transit time according to claim 1, its feature
It is：The computing formula of gate mean transit time is in step (4)：
The computing formula of queuing ridership is at gate：
Wherein, WsFor gate mean transit time, LsFor queuing ridership at gate, λ is that single ticket checking machine is newly reached in the unit time
The quantity of passenger, μ is single ticket checking machine service ability in the unit time, and ρ is gate service intensity, and numerical value is the ratio of λ and μ.
4. a kind of metro passenger flow early warning system based on intensity of passenger flow and gate transit time, it is characterised in that：It is close including passenger flow
Degrees of data collecting unit, gate are by time calculating unit, intensity of passenger flow dynamic analytic unit and Forewarning Measures feedback unit；
Intensity of passenger flow data acquisition unit, for gathering and recording in subway station in the environmental data and unit interval in certain region
Region passenger flow number；Gate passes through time calculating unit, for calculating passenger by the necessary time needed for gate；Intensity of passenger flow
Dynamic analytic unit, for calculating passenger time needed for subway station is left；Forewarning Measures feedback unit, has been carried out for evaluating
Passenger flow dispersal plan, the passenger flow dispersal plan low to evacuation efficiency be optimized.
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| CN108182403A (en) * | 2017-12-28 | 2018-06-19 | 河南辉煌城轨科技有限公司 | Subway train passenger flow statistical method based on image |
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| CN111063190A (en) * | 2019-12-10 | 2020-04-24 | 北京工业大学 | Pre-control method and system for oversaturated passenger flow of urban rail transit station platform |
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| CN107331114B (en) * | 2017-06-09 | 2019-06-07 | 安徽富煌科技股份有限公司 | A kind of flow of the people early warning system counted based on video passenger flow |
| CN107331114A (en) * | 2017-06-09 | 2017-11-07 | 安徽富煌科技股份有限公司 | A kind of flow of the people early warning system counted based on video passenger flow |
| CN108182403A (en) * | 2017-12-28 | 2018-06-19 | 河南辉煌城轨科技有限公司 | Subway train passenger flow statistical method based on image |
| CN108449711B (en) * | 2018-01-08 | 2021-04-27 | 上海元卓信息科技有限公司 | Large-scale venue passenger flow calculation method based on mobile phone signaling data and security check data |
| CN108449711A (en) * | 2018-01-08 | 2018-08-24 | 上海元卓信息科技有限公司 | A kind of large stadium passenger flow computational methods based on mobile phone signaling data and safety inspection data |
| CN109146308A (en) * | 2018-09-05 | 2019-01-04 | 广东工业大学 | The safety inspection method of airport security resource utilization can be effectively improved |
| CN109146308B (en) * | 2018-09-05 | 2022-05-10 | 广东工业大学 | Security inspection method capable of effectively improving airport security inspection resource utilization rate |
| CN111008545A (en) * | 2018-10-08 | 2020-04-14 | 上海申通地铁集团有限公司 | Passenger flow detection system and method for rail transit system |
| CN111063190A (en) * | 2019-12-10 | 2020-04-24 | 北京工业大学 | Pre-control method and system for oversaturated passenger flow of urban rail transit station platform |
| CN111860976A (en) * | 2020-06-30 | 2020-10-30 | 广州地铁集团有限公司 | Gate passing time prediction method and device |
| CN111860976B (en) * | 2020-06-30 | 2024-04-30 | 广州地铁集团有限公司 | Gate traffic time prediction method and device |
| CN111797964A (en) * | 2020-07-10 | 2020-10-20 | 杭州复兴地铁设备维护有限公司 | Urban rail transit system passenger flow real-time detection device and method |
| CN111986368A (en) * | 2020-08-27 | 2020-11-24 | 景亮 | Automatic ticket selling and checking system for urban rail transit and control method thereof |
| CN113487763A (en) * | 2021-05-20 | 2021-10-08 | 胡彦霞 | Urban rail transit safety intelligent detection system |
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Application publication date: 20170510 |