Ideal latency between a metro trains - Revision history

Xcesj04 at 17:29, 29 January 2015

2015-01-29T17:29:45Z

2015-01-25T22:56:35Z

‎Peak

2015-01-25T22:53:01Z

‎How does the simulation work

2015-01-25T22:43:56Z

‎Off-peak

2015-01-25T22:42:18Z

‎Off-peak

2015-01-25T22:37:42Z

‎Peak

2015-01-25T22:29:31Z

‎Peak

2015-01-25T22:25:46Z

‎What is the target of this model?

2015-01-25T22:25:19Z

‎Passengers at stations

2015-01-25T22:23:18Z

‎transfer capacity

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 =Model=
-I developed a one-way traffic simulation based on real data obtained from the annual report and DPP study xyz.
+I developed a one-way traffic simulation based on real data obtained from the
 Each station has set ratio on a scale from zero to one, which indicates the probability of outgoing passengers in the station.
 The lowest value has station Prosek (0.07), while the I.P. Pavlova has the highest value of (0.79) – as you can see in the chart.
 Because it is a one-way simulation the first station (Letňany) has incoming passengers, so the station does not show any ratio.
 Station Haje has only outgoing passengers because there is not any next station to go.
-There are two time zones in the simulation - the first one is  peak, which takes place in time from 7am to 9am and from 5pm to 9pm and second one dedicated to off-peak time.
+There are two time zones in the simulation - the first one is  peak, which takes place in time from 7am to 9am and from 4pm to 6pm and second one dedicated to off-peak time.
 Default delay between trains is set to 76 ticks.
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 Model could be extended in the future - there are some possibilities like as adding depot for some trains (you know - like Kačerov where some trains terminates) or the line from station Háje to station Letňany.
 And of course due to option to change number of station and a lot of variables you could build your own metro.

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 Ideal setting (76 seconds delay between the trains)
 [[File:peak_ideal.png]]
 Traffic jam (train waiting in tunnel) when I set up 66 seconds delay between the trains.

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 If this happens the following trains are waiting in the tunnel for departure from station of previous train.
 User can choose attribute value station_ranks (slider rank_xx) for each station. High number represent high probability that passenger exit the train in that station.
 =Model=

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 ===Off-peak===
 Value is reduced occurrence of new passengers (add_pass_delay) on 63 seconds during the off-peak. This was set because of fact, that there are only 12,600 passengers per hour at this time, which is 2,1 times less than at the peak.
-Trains are effectively fulffiled when the values are set up to 311 second. Trains are overcrowded if the value is higher than that.
+Trains are effectively fulffiled when the values are set up to 311 second. Trains are overcrowded if the value is higher than that. Minimum delay between the trains it could be set up to 36 seconds if you choose less than that the trains will be jammed.
 Minimum delay between the trains (value is set up to 36)

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 Value is reduced occurrence of new passengers (add_pass_delay) on 63 seconds during the off-peak. This was set because of fact, that there are only 12,600 passengers per hour at this time, which is 2,1 times less than at the peak.
 Trains are effectively fulffiled when the values are set up to 311 second. Trains are overcrowded if the value is higher than that.
 =Conslusion=

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 An analysis based on simulation, I found that if the train delay between trains is set to less than 76 or more than 81 seconds, trains start to wait in tunnel between stations to departure of the previous train. The value that avoids overcrowding station and trains are effectively filled, moves around xy seconds.
 Transport capacity is about 26,900 persons per hour at peak. Simulation has only half value because of one-way traffic.
 Traffic jam (train waiting in tunnel) when I set up 66 seconds delay between the trains.

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 =What is the target of this model?=
 Try to get:
 )	The biggest value at the transport capacity graph
 )	Minimized number of waiting passagers in stations at “passagers at stations” graph
 )	Avoid the traffic jam
 )	Less people at station (you will see the red flash when is overcrowded)
 =Global variables=

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 ===Passengers at stations===
 Number of passagers whose waiting on train. Passagers whose leaves the train are not count in this graph.
 =How does the simulation work=

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 ==Graphs:==
 ===transfer capacity===
 The graph show the capacity of subway per hour . There is describe that  about 1440 tickes is one real hour and graph show capacity of passagers per hour. Wikipedia show that subway metro (C) transport about 26,900 per hour  in high-peak – it’s nearly the same amount as in the model.
 ===Passengers at stations===