CN107220920B - Wi-Fi signaling data-based dynamic current limiting method for urban rail transit - Google Patents

Wi-Fi signaling data-based dynamic current limiting method for urban rail transit Download PDF

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CN107220920B
CN107220920B CN201710290875.3A CN201710290875A CN107220920B CN 107220920 B CN107220920 B CN 107220920B CN 201710290875 A CN201710290875 A CN 201710290875A CN 107220920 B CN107220920 B CN 107220920B
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current limiting
platform
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train
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CN107220920A (en
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江志彬
谷金晶
朱冰沁
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Tongji University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

The invention relates to a Wi-Fi signaling data-based dynamic current limiting method for urban rail transit, which comprises the following steps: acquiring station real-time passenger flow data based on Wi-Fi signaling; the method comprises the steps of (1) station real-time passenger flow data mining based on Wi-Fi signaling; judging whether a current-limiting starting condition is met or not according to the real-time passenger flow data, if so, making a current-limiting scheme and implementing, and simultaneously issuing current-limiting information in real time, and if not, continuing to perform the step S1; judging whether a current limiting ending condition is met, if so, ending the current limiting, and if not, continuing to implement the current limiting scheme in S3; and issuing current limiting end information. Compared with the prior art, the method has the advantages that the real-time passenger distribution condition at the platform can be comprehensively obtained based on Wi-Fi signaling data mining, the decision basis of a dynamic current limiting scheme is perfected, the fine management level of urban rail transit is improved, the risk of large passenger flow is reduced, and the like.

Description

Wi-Fi signaling data-based dynamic current limiting method for urban rail transit
Technical Field
The invention relates to the technical field of urban rail transit passenger flow safety control, relates to application of Wi-Fi real-time signaling data in rail transit passenger flow operation organizations, solves the problems of large passenger flow operation safety and efficiency of rail transit, and particularly relates to a dynamic urban rail transit current limiting method based on Wi-Fi signaling data.
Background
At present, urban rail transit in cities such as Shanghai and Beijing in China enters a new stage of networked operation, and the contradiction between the rapidly-increased passenger flow demand and the limited transportation capacity is increasingly prominent. On one hand, the phenomena of overload operation, carriage congestion, waiting and detention and the like in part of lines at peak time are increasingly serious, so that the phenomena of passenger door hanging, vehicle door failure and the like are frequent, and the reliability of the network is greatly reduced; on the other hand, due to the functional failure of facility equipment and some unpredictable external factors (emergencies, weather influences and the like), a long-time and large-area delay occurs to the train, so that the passenger flow backlog of partial stations is caused, and the serious challenge is brought to the network operation safety. The 'risk brought by large passenger flow' becomes a key risk point in urban rail transit operation.
Station flow limiting (closing ticket vending machine and gate, setting railing, closing entrance and exit, closing transfer passage, etc.) is an effective emergency management measure under large passenger flow condition. The safety of passengers can be guaranteed, potential safety hazards that crowding, trampling and passengers are extruded off the platform and the like possibly caused by large passenger flows can be effectively avoided, the passenger flows entering each station in unit time and the utilization rate of train capacity can be reasonably and effectively balanced, the potential energy of facility equipment can be furthest exerted, and smooth and efficient operation of lines can be guaranteed.
The train running and passenger traveling processes have the characteristics of complexity, time variation, randomness and the like, so that the current limiting scheme is dynamically adjusted in real time according to the actual situation on site, however, the current method is obviously insufficient in consideration of global property and dynamic property, and dynamic current limiting cannot be realized by combining the real-time passenger flow situation. At present, most of the current-limiting time and the current-limiting stations depend on the field experience of managers, have certain subjectivity and lack scientific basis.
The real-time monitoring of the total flow and the flow direction of network passenger flow is the key for formulating a reasonable flow limiting strategy, although the current AFC system can obtain real-time in-and-out card swiping data of passengers, due to the diversity of network travel paths and the dynamic property of a travel process, real-time section, getting-on and getting-off and transfer passenger flow information cannot be accurately obtained through the AFC card swiping data, and the real-time passenger flow of trains, platforms, station halls and transfer channels cannot be accurately obtained. With the rapid development of wireless communication technology, the intelligent mobile terminal is continuously increasing, and the Wi-Fi technology has the advantages of high transmission rate, high stability, high reliability, wireless access, lower cost than a 4G network, and the like, so that the traffic information acquisition technology based on Wi-Fi signaling data is increasingly valued by each traffic administrative department in the city. And detecting and identifying the mobile equipment, wherein the network area of the Wi-Fi access identification mobile phone is 20-100 meters, and the mobile equipment in the coverage range is awakened by sending an awakening packet, so that the mobile phone can acquire an address through the Wi-Fi detection identification equipment in a screen locking state. With the coverage of subway Wi-Fi networks, it has become technically feasible to monitor real-time passenger flow using Wi-Fi signaling data.
Wi-Fi is the general name of the IEEE802.11 standard, and a Wi-Fi wireless network is a network consisting of an AP (Access Point) and a wireless network card. Wi-Fi positioning technology is to determine the position of a target through wireless signal communication between a mobile device and a wireless network Access Point (AP), thereby implementing a positioning function. Compared with other positioning technologies, the Wi-Fi indoor positioning technology has great advantages in positioning accuracy, efficiency and cost. The prior granted patent publication No. CN 204539486U discloses a passenger flow sample tracking and analyzing system for a rail transit network, which collects the MAC address of a mobile terminal through a Wi-Fi sensor, realizes the statistics of the number of people in a certain area, and shows that the Wi-Fi indoor positioning technology has wide application prospect in the traffic field. However, the application of dynamic current limiting of urban rail transit by combining with Wi-Fi signaling data is yet to be researched.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a dynamic current limiting method for urban rail transit based on Wi-Fi signaling data. The real-time space state data information of passengers in the rail transit system, particularly the real-time number of waiting people and the retention information of each platform are obtained according to the Wi-Fi positioning data and are used as a decision basis for dynamic current limiting of the rail transit line. On the basis of guaranteeing the operation safety of large passenger flows of the rail transit, the accuracy and the efficiency of urban rail transit current limiting are expected to be improved.
The purpose of the invention can be realized by the following technical scheme:
a dynamic current limiting method for urban rail transit based on Wi-Fi signaling data comprises the following steps:
s1, acquiring station real-time passenger flow data based on Wi-Fi signaling;
s2, station real-time passenger flow data mining based on Wi-Fi signaling;
s3, judging whether the current limiting starting condition is met or not according to the real-time passenger flow data, if so, making a current limiting scheme and implementing, meanwhile, issuing current limiting information in real time, and if not, continuing to perform the step S1;
s4, judging whether the current limiting end condition is met, if so, ending the current limiting, and if not, continuing to implement the current limiting scheme in S3;
and S5, issuing current limit ending information.
Step S1 specifically includes: and acquiring information of user mobile equipment for starting the Wi-Fi in a statistical period by means of a wireless network Access Point (AP) preset in each station platform, uploading the information to a position server, and acquiring positioning data of passengers in each statistical period.
Step S2 specifically includes: and calculating the number of waiting passengers at the platform, the number of detained passengers at the platform and the corresponding times of station delay in the up-down direction of the platform according to the positioning data of the passengers in each continuous statistical period.
In step S3, the current limit start condition is:
satisfy the requirement of
Figure BDA0001281867880000031
The number of the collected train waiting persons at the platform when the first three trains including the train arrive at the station is in an increasing trend;
wherein the content of the first and second substances,
Figure BDA0001281867880000032
the number of passengers staying at the platform m times when the train k arrives at the station n, WPk,nThe number of waiting passengers at the platform when the train k arrives at the station n, Cn,maxMaximum safe capacity for station n, α safety factor, α [0,1 ]]。
In step S4, the current limit end condition is:
satisfy the requirement of
Figure BDA0001281867880000033
The number of the collected train waiting persons at the platform when the first three trains including the train arrive at the station is in a descending trend;
wherein the content of the first and second substances,
Figure BDA0001281867880000034
the number of passengers WP staying at the station m' times when the train k arrives at the station nk,nThe number of waiting passengers at the platform when the train k arrives at the station n, Cn,maxThe maximum safe capacity of platform n, α ', β', α ', β', ∈ [0,1]。
The specific step of formulating the current limiting scheme in step S3 is: the number of passengers allowed to enter the station is:
Figure BDA0001281867880000035
wherein the content of the first and second substances,
Figure BDA0001281867880000036
for the number of passengers admitted to station n during current limiting, WPk,nThe number of waiting passengers at the platform when the train k arrives at the station n.
The method sends the current limiting information to an official website of a rail transit operator, a mobile terminal of a user and a station PIS terminal through a server.
Compared with the prior art, the invention has the following advantages:
(1) and (3) carrying out real-time dynamic statistics on passenger flow data: the invention can determine the traveling direction of passengers waiting at each platform based on the Wi-Fi positioning technology, correspondingly determine the number of passengers waiting at the platforms in the ascending and descending directions, and simultaneously obtain the number of passengers detained at each platform and the corresponding number of detained times, thereby realizing the real-time dynamic statistics of passenger flow data.
(2) The decision basis of the dynamic current limiting scheme is perfected: the dynamic current limiting scheme is obtained through quantitative calculation according to real-time passenger flow data, dynamic combination of the current limiting scheme and the real-time passenger flow is achieved, and the scheme is prospective and dynamic in real time.
(3) The fine management level of urban rail transit is improved, and the risk of large passenger flow is reduced: the flow established by the rail transit dynamic current limiting scheme provided by the invention can be used as the basis for rail transit current limiting.
Drawings
FIG. 1 is a flow chart of an urban rail transit dynamic current limiting method based on Wi-Fi signaling data according to the present invention;
fig. 2 is a schematic diagram of real-time passenger flow data acquisition of a station based on Wi-Fi signaling;
FIG. 3 is an operation diagram of an urban rail transit line train with the number S (7:40-7: 58);
FIG. 4 is a distribution diagram of the n passenger flows at the stations before current limiting (7: 44);
fig. 5 is a distribution diagram of the number n of stations after current limiting (7: 52).
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
The solution of the urban rail transit dynamic current limiting method based on Wi-Fi signaling data adopted by the invention comprises the following sequential steps, as shown in figure 1:
and S1, obtaining the real-time passenger flow data based on Wi-Fi signaling. Wireless network Access Points (APs) are arranged at different positions of a platform, as shown in fig. 2, information of a user mobile device which starts Wi-Fi is obtained, the data are uploaded to a position server in a background, the position server obtains user positioning data by combining the strength of a feedback signal and the geographical position of each AP in an offline database, and data in a scanning list mainly comprise scanning time, scanned APs, MAC addresses, signal strengths and corresponding SSIDs.
And S2, station real-time passenger flow data mining based on Wi-Fi signaling. And mining the number of waiting people in the up-down direction of each station platform, the number of staying people in the platform and the corresponding number of standing times based on Wi-Fi signaling data.
And S3, establishing and implementing a rail transit dynamic current limiting scheme. And making decision bases for dynamic current limiting starting and ending of the rail transit, and determining a rail transit current limiting scheme comprising a current limiting station, a current limiting time period and current limiting intensity.
And S4, distributing the rail transit flow limiting information in real time. The release terminal comprises an official website of a rail transit operator, a mobile terminal of a user and a station PIS terminal, and the release content is a real-time rail transit current limiting scheme which comprises a current limiting station, a current limiting time period, current limiting intensity and a rail transit platform real-time passenger flow density map.
And in the step S2, the station real-time passenger flow data mining based on the Wi-Fi signaling. The method comprises the steps of calculating the real-time passenger flow number of a platform area, particularly the number of detention persons and times of the platform by taking an AP point location as a basic unit and according to the corresponding relation between the AP point location and a station hall and the platform based on a specific matching rule based on original data of Wi-Fi signaling.
The island type platform gathering people comprises the waiting people in the ascending direction and the descending direction. And determining the strength of the collected MAC addresses according to AP hot spots arranged at different positions of the platform by passengers in the uplink and downlink directions. The number of the gathering people at the side type platform is separately counted according to the ascending and descending. In the following, for example, the Wi-Fi signaling data mining in the uplink direction is performed, and the Wi-Fi signaling data mining method in the downlink direction is the same as that in the uplink direction.
When each train arrives at each station in the step S2, the calculation method of the number of waiting passengers in the ascending direction of the platform is as follows:
Figure BDA0001281867880000051
in formula (1), WPk,nThe number of waiting persons (people) at the platform when the train k arrives at the station n,
Figure BDA0001281867880000052
the time when the train k arrives at the station n,
Figure BDA0001281867880000053
for passing AP hotspot set on station n
Figure BDA0001281867880000054
The set of passengers (MAC addresses) located on station n acquired at that moment,
Figure BDA0001281867880000055
is a set
Figure BDA0001281867880000056
Number of elements (human).
When each train arrives at each station in the step S2, the calculation method of the number of people staying in the ascending direction of the platform is as follows:
Figure BDA0001281867880000057
in the formula (2), HPk,nThe number of passengers (people) staying in the upward direction of the platform when the train k arrives at the station n,
Figure BDA0001281867880000058
is a set
Figure BDA0001281867880000059
And
Figure BDA00012818678800000510
number of elements (human) in common.
Figure BDA00012818678800000511
And
Figure BDA00012818678800000512
for passing AP hotspot set on station n
Figure BDA00012818678800000513
Time of day and
Figure BDA00012818678800000514
the set of upstream passengers (MAC addresses) located on station n acquired at that time.
In the step S3, the flow-limiting starting decision of the station is that when the number of passengers staying for more than m times is more than or equal to α times of the maximum capacity of the platform, the number of the station waiting passengers collected when the three previous trains arrive at the station is combined with the historical passenger flow data of the MAC information base, if the number of the station waiting passengers is in an increasing trend, and the number of the station waiting passengers when the train arrives at the n stations is more than or equal to β times of the maximum capacity of the platform, dynamic flow-limiting measures are started at the station, and the flow-limiting starting time is marked as tcb,nAnd the current-limiting starting condition is recorded as:
Figure BDA00012818678800000515
in the formula (3), the reaction mixture is,
Figure BDA00012818678800000516
the number of passengers (WP) staying at the platform m times when the train k arrives at the station nk,nThe number of waiting persons (people) at the platform when the train k arrives at the station n, CN,MAxMaximum safe capacity (man) for station n, α safety factor, α [0,1 ]]。
The method for calculating the number of passengers staying at the platform for m times before the current limiting at the station n comprises the following steps:
Figure BDA0001281867880000061
in the formula (4), the reaction mixture is,
Figure BDA0001281867880000062
when the train k arrives at the station n before the current limiting at the station, the number of passengers (people) staying at the station m times,
Figure BDA0001281867880000063
and
Figure BDA0001281867880000064
respectively, through AP hot spots set on station n
Figure BDA0001281867880000065
The time,
Figure BDA0001281867880000066
Time of day and
Figure BDA0001281867880000067
the set of upstream passengers (MAC addresses) located on station n acquired at that time.
The rail transit dynamic current limiting scheme in step S3 is formulated and implemented, including: moment of restriction, station of restriction and intensity of restriction (number of passengers allowed to enter station).
In step S3, the current limiting start time of the station is: when it is satisfied with
Figure BDA0001281867880000068
Figure BDA0001281867880000069
When the current is limited, the current is limited by starting at a station n and is recorded as tcb,n。
The station current limit period t in step S3c，nThe method for determining the number of passengers allowed to enter the station comprises the following steps:
Figure BDA00012818678800000610
in the formula (5), the reaction mixture is,
Figure BDA00012818678800000611
is a current limiting period tc,nNumber of passengers (people) allowed to enter station n, WPk,nThe number of waiting persons (persons) at the platform when the train k arrives at the station n.
Accordingly, the inbound passenger release rate is:
Figure BDA00012818678800000612
in the formula (6), the reaction mixture is,
Figure BDA00012818678800000613
for the rate of release of passengers arriving at the station (people/min), t, during the current limitc,nIs the current limit duration. The release rate is counted and can be used as a passenger release rate reference value in a similar situation.
In the step S3, the decision for ending the current limiting at the station is that when the number of passengers staying for more than m ' times is less than or equal to α ' times of the maximum capacity of the station, the number of the waiting passengers at the station, which is collected when the previous three trains arrive at the station, in the historical passenger flow data of the MAC information base is combined, if the number of the waiting passengers is in a descending trend and the number of the waiting passengers when the current train arrives at the station n is less than or equal to β ' times of the maximum capacity of the station, the dynamic current limiting measure is ended at the station, and the current limiting ending moment is marked as tcs，n. End of current limit condition is recorded as：
Figure BDA00012818678800000614
In the formula (7), the reaction mixture is,
Figure BDA00012818678800000615
the number of passengers (people) staying at the platform m' times when the train k arrives at the station n, WPk,nThe number of waiting persons (people) at the platform when the train k arrives at the station n, Cn,maxThe maximum safe capacity of platform n, α ', β', α ', β', ∈ [0,1]。
The method for calculating the number of passengers staying at the platform m' times after the current limitation of the station n comprises the following steps:
Figure BDA00012818678800000616
in the formula (8), the reaction mixture is,
Figure BDA00012818678800000617
when the train k arrives at the station n after the current limiting at the station, the number of passengers (people) staying at the station m' times,
Figure BDA0001281867880000071
and
Figure BDA0001281867880000072
respectively, through AP hot spots set on station n
Figure BDA0001281867880000073
The time,
Figure BDA0001281867880000074
Time of day and
Figure BDA0001281867880000075
the set of upstream passengers (MAC addresses) located on station n acquired at that time.
The mobile terminal of the user in S4 should be a passenger who has an intention to enter the current limit station acquired according to the Wi-Fi data. In the invention, the corresponding AP is arranged at the subway entrance and is used for receiving the information of the mobile equipment of the subway entrance user.
Examples
The urban rail transit S line train running chart is shown in figure 3, the abscissa is time, the ordinate is distance, the inter-train distance between adjacent trains is 120S, and the trains drive away after staying at each station for a set time.
This example studies the dynamic current limiting scheme of an uplink station n, where n is a side platform, and each parameter is set as: cn,max1840 (man), m 3, m ' 1, α 0.2, α ' 0.4, β 0.8, β ' 0.8, departure interval h 120 s.
1. Based on Wi-Fi signaling data, when a mined train k reaches a station n, the number WP of passengers waiting at the platform in the uplink directionk，nNumber of passengers standing 3 times
Figure BDA0001281867880000076
Figure 8
At this time correspond to
Figure BDA0001281867880000078
I.e. WPk,n1608 (human).
Figure BDA0001281867880000079
Figure BDA00012818678800000710
2. And (3) current limiting starting decision of the station n:
(1) whether the number of passengers staying more than 3 times is greater than or equal to α times of the maximum capacity of the platform n: 379 > 0.2 × 1840 ═ 368, satisfied.
(2) The number of the station waiting people collected when the first three trains arrive at the station in the historical data of the MAC information base is as follows:
Figure 7
at this time correspond to
Figure BDA00012818678800000712
Figure 6
At this time correspond to
Figure BDA00012818678800000714
Figure 5
At this time correspond to
Figure BDA00012818678800000716
When three trains arrive at the n stations, the number of waiting people at the station platform is increased.
(3) Whether the number of waiting passengers at the station n is greater than or equal to β times of the maximum capacity of the station n, 1608 is greater than 0.8 × 1840, or 1472 meets the condition of current-limiting starting
Figure BDA0001281867880000081
3. Current limiting scheme formulation and implementation
In that
Figure BDA0001281867880000082
The current limiting scheme is initiated at a time, in this example tcb，nIs 7: 46. Current limiting period t of stationc,nThe method for determining the number of passengers allowed to enter the station comprises the following steps:
Figure BDA0001281867880000083
4. and (4) judging the current limiting ending condition of the station n.
Whether the number of passengers staying more than 1 is less than or equal to 0.4 times of the maximum capacity of the platform n:
based on Wi-Fi signaling data, after the current limit of a station n is excavated, when a (k + 1) th train arrives at the station n, the number of waiting passengers WP on the platform in the uplink directionk+1，nNumber of passengers standing at rest 1 time
Figure BDA0001281867880000084
Figure 4
At this time correspond to
Figure BDA0001281867880000086
Namely, it is
Figure BDA0001281867880000087
Figure BDA0001281867880000088
And if the current limiting end condition is not met, continuing to execute current limiting.
Continuously excavating a station n to limit the current, when a k +2 th train arrives at the station n, waiting passengers on the platform in the uplink direction and waiting for 1 time at the station
Figure BDA0001281867880000089
Figure 3
At this time correspond to
Figure BDA00012818678800000811
Namely, it is
Figure BDA00012818678800000812
Figure BDA00012818678800000813
Figure BDA00012818678800000814
Discontent withAnd if the current limiting condition is met, continuing to execute current limiting.
Continuously excavating a station n to limit the current, when a k +3 train arrives at the station n, waiting passengers at the platform in the uplink direction and waiting for 1 time at the station
Figure BDA00012818678800000815
Figure 2
At this time correspond to
Figure BDA00012818678800000817
Namely, it is
Figure BDA00012818678800000818
Figure BDA00012818678800000819
The number of the station waiting people collected when the first three trains k, k +1 and k +2 arrive at the station in the historical data of the MAC information base is in a descending trend, and WP (total waiting time)k+3，n1424 < 0.8 × 1840 ═ 1472, the end of current limiting condition is satisfied
Figure BDA00012818678800000820
End of time current limiting scheme, t in this examplecs,nIs 7: 52. The current flow limiting lasts for 6 minutes, and the release rate of passengers entering the station in the flow limiting period is as follows:
Figure BDA00012818678800000821
the release rate is counted and used as a passenger release rate reference value in a similar situation later.
5. Outputting the dynamic current limiting scheme shown in the table 1 based on Wi-Fi signaling data mining:
TABLE 1 dynamic Current limiting scheme
Figure 1
Current limiting time period tc,nThe number of the allowed passengers is 7:46-7:52
Figure BDA0001281867880000092
For 232 persons, the current limiting measures are as follows: closing the station entrance B, arranging a railing at the station entrance A, slowing down the station entrance speed of passengers as follows:
Figure BDA0001281867880000093
and (3) timely sending the real-time current limiting information in the table 1 and the real-time passenger flow distribution map of the rail transit platform to rail transit passengers through media such as a subway official network, a PIS terminal and WeChat so as to guide the passengers to go out. The real-time passenger flow distribution diagrams of the rail transit stations are shown in fig. 4 and 5.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (4)

1. A dynamic current limiting method for urban rail transit based on Wi-Fi signaling data is characterized by comprising the following steps:
s1, acquiring real-time passenger flow data of the platform based on Wi-Fi signaling, specifically: acquiring information of user mobile equipment for starting Wi-Fi in a statistical period by means of a wireless network Access Point (AP) preset in each station platform, uploading the information to a position server, and acquiring positioning data of passengers in each statistical period;
s2, station real-time passenger flow data mining based on Wi-Fi signaling, specifically: according to the positioning data of passengers in each continuous statistical period, calculating the number of waiting passengers at the platform, the number of staying passengers at the platform and the corresponding number of times of staying at the platform in the up-down direction of the platform;
s3, judging whether the current limiting starting condition is met according to the real-time passenger flow data, if so, making a current limiting scheme and implementing, simultaneously issuing current limiting information in real time, if not, continuing to perform the step S1, wherein the current limiting starting condition is as follows:
satisfy the requirement of
Figure FDA0002526437340000011
The number of the station waiting people collected when the first three trains including the train arrive at the current station is in an increasing trend;
wherein the content of the first and second substances,
Figure FDA0002526437340000012
the number of passengers staying at the platform m times when the train k arrives at the station n, WPk,nThe number of waiting passengers at the platform when the train k arrives at the station n, Cn,maxMaximum safe capacity for station n, α safety factor, α [0,1 ]]；
S4, judging whether the current limiting end condition is met, if so, ending the current limiting, and if not, continuing to implement the current limiting scheme in S3;
and S5, issuing current limit ending information.
2. The method for dynamically limiting urban rail transit according to Wi-Fi signaling data as claimed in claim 1,
in step S4, the current limit end condition is:
satisfy the requirement of
Figure FDA0002526437340000013
The number of the collected train waiting persons at the platform when the first three trains including the train arrive at the station is in a descending trend;
wherein the content of the first and second substances,
Figure FDA0002526437340000014
the number of passengers WP staying at the station m' times when the train k arrives at the station nk,nThe number of waiting passengers at the platform when the train k arrives at the station n, Cn,maxMaximum safety capacity of platform n, α ', β'For safety factor, α ', β' ∈ [0,1]。
3. The method for dynamically limiting the urban rail transit based on the Wi-Fi signaling data according to claim 1, wherein the step S3 of formulating the current limiting scheme specifically comprises: the number of passengers allowed to enter the station is:
Figure FDA0002526437340000021
wherein the content of the first and second substances,
Figure FDA0002526437340000022
for the number of passengers admitted to station n during current limiting, WPk,nThe number of waiting passengers at the platform when the train k arrives at the station n.
4. The method as claimed in claim 1, wherein the method sends the current limit information to an official website of a rail transit operator, a mobile terminal of a user and a station PIS terminal through a server.
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