On Access Control in Cabin-Based Transport Systems
For transport system designers, the paper provides theoretical insights into the trade-off between waiting time and stability in cabin-based systems, but conclusions are preliminary and require experimental validation.
The paper analyzes an access control boarding solution for cabin-based transport systems, deriving stochastic properties of passenger queues, waiting times, and cabin capacity using queuing theory. Results show that reducing waiting time at a station worsens stability at preceding stations.
We analyze a boarding solution for a transport system in which the number of passengers allowed to enter a transport cabin is automatically controlled. Expressions charac- terizing the stochastic properties of the passenger queue length, waiting time, and cabin capacity are derived using queuing theory for a transport line with deterministic arrivals of cabins and Poisson arrivals of passengers. Expected cabin capacity and stability threshold for each station are derived for a general passenger arrival distribution. Results show that a significant reduction of the waiting time at a given station is only possible at the cost of making the stability of one of the preceding stations worse than that of the given station. Experimental studies with real passenger arrivals are needed to draw firm conclusions.