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Passenger traffic in the elevator up‐peak situation has been modelled using embedded Markov chain theory. The elevator queueing theory studies concentrate on solving a steady situation with one server system and random passenger arrivals. Queuing theory provides a solid theoretical basis for the up‐peak situation, which can be utilized, example, in verifying the simulation results for a conventional control system and elevator planning. Transit time of a passenger begins when the serving elevator starts to open doors at the hall call floor, and ends when the elevator starts to open doors on passenger's destination floor. Passenger journey time consists of the mean passenger waiting time and the mean transit time. Passenger queuing at ticket stations, turnstiles, destination operating panels or any other service point in buildings can be modelled by an M/M/c model.
Passenger traffic in the elevator up‐peak situation has been modelled using embedded Markov chain theory. The elevator queueing theory studies concentrate on solving a steady situation with one server system and random passenger arrivals. Queuing theory provides a solid theoretical basis for the up‐peak situation, which can be utilized, example, in verifying the simulation results for a conventional control system and elevator planning. Transit time of a passenger begins when the serving elevator starts to open doors at the hall call floor, and ends when the elevator starts to open doors on passenger's destination floor. Passenger journey time consists of the mean passenger waiting time and the mean transit time. Passenger queuing at ticket stations, turnstiles, destination operating panels or any other service point in buildings can be modelled by an M/M/c model.
Passenger Service Level
Siikonen, Marja‐Liisa (author)
People Flow in Buildings ; 217-225
2021-08-30
9 pages
Article/Chapter (Book)
Electronic Resource
English
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