CN106447586A - Method of calculating real-time passenger flow in paying area at subway station - Google Patents

Method of calculating real-time passenger flow in paying area at subway station Download PDF

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Publication number
CN106447586A
CN106447586A CN201610854960.3A CN201610854960A CN106447586A CN 106447586 A CN106447586 A CN 106447586A CN 201610854960 A CN201610854960 A CN 201610854960A CN 106447586 A CN106447586 A CN 106447586A
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China
Prior art keywords
station
train
weight
moment
represent
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Chinese (zh)
Inventor
王志心
李佑文
岳以洋
蔡磊
蔡一磊
李寅
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Nanjing Guodian Nanzi Railway Traffic Engineering Co Ltd
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Nanjing Guodian Nanzi Railway Traffic Engineering Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

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  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method of calculating a real-time passenger flow in a paying area at a subway station. The total get-in number and the total get-out number of people passing through a gate at a station are timely collected by an automatic fare collection system; the weights of each of trains getting in and out of the station are timely collected; taking the zero clock of each day or the start time of operation of the station as an initial time (represented by T0) of calculation, initializing the number of passengers at the station at T0 as 0 and representing with P0, i.e., P0=0; and according to a preset period, calculating the number Pi of passengers in the paying area at the station at Ti. The method timely calculates the number of passengers in the paying area at the station by tracking the get-in number and the get-out number of people passing through the subway station and the number of passengers getting in and out of a train at a platform. The method is accurate and reliable, and easy to implement onsite.

Description

A kind of real-time passenger flow computational methods of subway station paid area
Technical field
The present invention relates to field of track traffic, a kind of more particularly, to real-time passenger flow computational methods of subway station paid area.
Background technology
With the fast development of urban track traffic, subway has had become as the main means of transport of citizens' activities.But, In peak period morning and evening that the volume of the flow of passengers is larger, a large amount of passengers are internal AT STATION to be assembled, crowded scene occurs now and then so that passenger Potential safety hazard increases, easily induction unexpected incidents, contingency occurs, the impact advantage such as urban track traffic is quick, convenient Give full play to.
Domestic overwhelming majority subway station adopts the side of gate counting, human eye eye estimate and subregion video monitoring at present Method carrys out passenger flow situation in acquisition station.However, above method can not obtain the passenger flow data in subway station comprehensively and exactly:Lock Machine counts and can only record total number of persons into and out of subway paid area, and can not follow the tracks of confirmation passenger of entering the station and smoothly get on the bus or in platform It is detained, also cannot count the transfer passenger flow number within station for transfer station;There is larger error in human eye eye estimate Judge, and subjective randomness is very big;The problem of video observation is that station internal area is larger, leads to Platform attendant to have numerous The monitoring work amount of weight is it is difficult to the situation that notes abnormalities in time.In addition, the emerging skill of video count has been introduced in Some Domestic city Art, but it is limited to the development of video image processing technology, limitation is had based on the dynamic passenger flow monitoring of this technology.
Content of the invention
For problems of the prior art, the invention discloses a kind of calculating of the real-time passenger flow of subway station paid area Method, the method, by following the tracks of getting on or off the bus passenger flow quantity into and out of station number and platform of subway station, calculates station in real time and pays Take the passenger flow number in area.Method real-time is high, simple, by grasping the real-time volume of the flow of passengers, Ke Yishi in the paid area of station When assessment station in passenger the degree of crowding, staff's exhibition can be reminded in time when the degree of crowding is continued above certain numerical value Open emergency measure, such as strengthen passenger flow and dredge or current limliting etc..
For reaching above-mentioned purpose, the present invention is achieved through the following technical solutions:A kind of real-time passenger flow of subway station paid area Computational methods, specifically comprise the steps of:
S1:Pass through enter the station number and the outbound number of gate by AFC system Real-time Collection station;
Described enter the station number and outbound number is aggregate-value, represent ought in a few days by the end of current time by the gate that enters the station The number that always enters the station and the total outbound number passing through outbound gate;
S2:Real-time Collection is entered the station and weight of train during outbound by every train of our station;
The described weight of train includes the weight sum of train deadweight and contained passenger;
S3:Using the time started of daily zero point or station operation as the initial time calculating, use T0Represent, and initialize T0In moment station, passenger flow number is 0, uses P0Represent, i.e. P0=0;
Determine the time interval calculating, in the moment calculating every time and this moment station, passenger flow number uses T respectivelyiAnd PiTable Show;
S4:Set up TiThe station paid area number expression formula in moment, as follows:
In formula,
Pi-1Represent Ti-1Moment, i.e. TiPaying intra regional passenger traffic number in station during a upper moment;
Represent T respectivelyi、Ti-1Always enter the station number, accordingly at moment stationRepresent Ti-1To TiIn period Enter the station number at station;
Represent T respectivelyi、Ti-1Always enter the station number, accordingly at moment stationRepresent Ti-1To TiPeriod Interior station outbound number;
Pdown, PupRepresent T respectivelyi-1To TiNumber of always getting off in period and always get on the bus number, accordingly, Pdown-PupRepresent Ti-1To TiIn period, the difference of number of always getting off and number of always getting on the bus;
Enter the station and weight of train during outbound in conjunction with the every train that step S2 is gathered
Wherein:
∑(Win-Wout) represent Ti-1To TiIn period, all trains by our station, incoming train weight and outbound Weight of train difference sum;
W:Represent passenger's standard body weight;
Further, TiThe station paid area number expression formula change in moment turns to:
Beneficial effect of the present invention:The subway station paid area real-time passenger flow computational methods of the present invention, by following the tracks of subway That stands gets on or off the bus passenger flow quantity into and out of station number and platform, can calculate current time subway station in real time and accurately Passenger flow number in paid area, and computational methods are simple and reliable, provide reliable for rail transportation operation management analyses and decision-making etc. Foundation.
Brief description
Fig. 1 is a kind of subway station paid area real-time passenger flow computational methods flow chart of the embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Hereinafter implement Example is used for the present invention is described, but is not limited to the scope of the present invention.
As shown in figure 1, the subway station paid area real-time passenger flow computational methods of the present invention include:
S101:Using the time started of daily zero point or station operation as the initial time T of calculating0, and initialize T0Moment Passenger flow number P in station0=0.
S102:By station AFC system, by predetermined period gather each gate in station by number, and root According to gate direction, always enter the station number P at calculating stationinWith outbound number Pout.
S103:Weight of train W when Real-time Collection is entered the station by every train of our stationinWith weight of train W during outboundout, Wherein, the weight of train includes the weight sum of train deadweight and contained passenger.
S104:Determine passenger's standard body weight W, calculate by 60kg/ people.
S105:By predetermined period, calculate Ti moment station paying intra regional passenger traffic number.
In formula,
Pi-1Represent Ti-1Moment, i.e. TiPaying intra regional passenger traffic number in station during a upper moment;
Represent T respectivelyi、Ti-1Always enter the station number at moment station;
Represent T respectivelyi、Ti-1Always enter the station number at moment station;
∑(Win-Wout) represent Ti-1To TiIn period, all trains by our station, incoming train weight and outbound Weight of train difference sum.
Above embodiment technological thought only to illustrate the invention is it is impossible to limit protection scope of the present invention with this, all It is according to technological thought proposed by the present invention, any unsubstantiality being done on the basis of technical scheme is changed, and each falls within this Within bright protection domain.

Claims (1)

1. a kind of paid area real-time passenger flow computational methods in subway station are it is characterised in that include:
S101:Using the time started of daily zero point or station operation as the initial time T of calculating0, and initialize T0Moment station Interior passenger flow number P0=0;
S102:By station AFC system, by predetermined period gather each gate in station by number, and according to lock Machine direction, always enter the station number P at calculating stationinWith outbound number Pout
S103:Weight of train W when Real-time Collection is entered the station by every train of our stationinWith weight of train W during outboundout, its In, the weight of train includes the weight sum of train deadweight and contained passenger;
S104:Determine passenger's standard body weight W;
S105:By predetermined period, calculate Ti moment station paying intra regional passenger traffic number Pi;
P i = P i - 1 + ( P i i n - P i - 1 i n ) - ( P i o u t - P i - 1 o u t ) + Σ ( W i n - W o u t ) W
In formula,
Pi-1Represent Ti-1Moment, i.e. TiPaying intra regional passenger traffic number in station during a upper moment;
Represent T respectivelyi、Ti-1Always enter the station number at moment station;
Represent T respectivelyi、Ti-1Always enter the station number at moment station;
∑(Win-Wout) represent Ti-1To TiIn period, all trains by our station, incoming train weight and train departure Weight difference sum.
CN201610854960.3A 2016-09-27 2016-09-27 Method of calculating real-time passenger flow in paying area at subway station Pending CN106447586A (en)

Priority Applications (1)

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Application Number Priority Date Filing Date Title
CN201610854960.3A CN106447586A (en) 2016-09-27 2016-09-27 Method of calculating real-time passenger flow in paying area at subway station

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107134017A (en) * 2017-06-05 2017-09-05 左红 The equipment and its installation method of intelligent control light rail or subway passenger carrying capacity
CN110956053A (en) * 2018-09-25 2020-04-03 武汉云象智能科技有限公司 Intelligent system for real-time statistics of number of retained people in subway station
CN114283577A (en) * 2021-11-10 2022-04-05 国电南京自动化股份有限公司 Passenger flow density and passenger flow load index calculation method based on real-time weighing

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201936369U (en) * 2011-01-19 2011-08-17 北京中电兴发科技有限公司 Accurate urban rail transit passenger flow statistics system
CN102354406A (en) * 2011-06-07 2012-02-15 同济大学 Real time statistical system and method for rail traffic network passenger flow based on RFID technology
US20140289003A1 (en) * 2013-03-25 2014-09-25 Amadeus S.A.S. Methods and systems for detecting anomaly in passenger flow
CN105404934A (en) * 2015-11-11 2016-03-16 北京航空航天大学 Urban population mobile data model analysis method based on conditional random field

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201936369U (en) * 2011-01-19 2011-08-17 北京中电兴发科技有限公司 Accurate urban rail transit passenger flow statistics system
CN102354406A (en) * 2011-06-07 2012-02-15 同济大学 Real time statistical system and method for rail traffic network passenger flow based on RFID technology
US20140289003A1 (en) * 2013-03-25 2014-09-25 Amadeus S.A.S. Methods and systems for detecting anomaly in passenger flow
CN105404934A (en) * 2015-11-11 2016-03-16 北京航空航天大学 Urban population mobile data model analysis method based on conditional random field

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107134017A (en) * 2017-06-05 2017-09-05 左红 The equipment and its installation method of intelligent control light rail or subway passenger carrying capacity
CN110956053A (en) * 2018-09-25 2020-04-03 武汉云象智能科技有限公司 Intelligent system for real-time statistics of number of retained people in subway station
CN114283577A (en) * 2021-11-10 2022-04-05 国电南京自动化股份有限公司 Passenger flow density and passenger flow load index calculation method based on real-time weighing

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