Inter-arrival time distribution of passengers plays an important role in the capacity design of service facilities such as, fare gate, ticket vending machine, and passageways, in an underground subway station.
By contrast, micro-simulation approaches are better able to take into account the stochasticity of the analysed phenomenon which lies in several factors: the temporal and spatial distribution of passengers, passenger and train driver behaviours, and train delays.
Table 1 shows the distribution of passengers according to categories of pandemic A/H1N1 infection.
The paper also presents two case-studies to analyse the sensitivity of the performance of two different bus layouts with different number and distributions of passengers.
Furthermore, based on the surveyed dwell time distributions of passengers and the real-time data of passenger flow intensities, the total number of occupants in the check-in hall and the departure hall can be estimated separately.
Vibration measurement tests, including stationary excitation tests and a running test on a commercial line, were conducted on three different types of actual railway vehicles for varying the numbers, postures and distributions of passengers.
In this scenario, the train was carrying an average, assuming an even distribution, of 182 passengers per carriage.
The distribution of these passengers, both within the carriage and on the platform, is randomly driven by the Unity software and so no two simulations can be exactly repeated.
Then, we aim to find an optimal commodity flow and well-designed network structure through the proposed multi-commodity flow model and simultaneously achieve the equitable distribution of all passengers and the optimal train skip-stopping pattern.
In detail, first, discretized states, corresponding to the number of missed trains for passengers, are constructed in a space-time-state three-dimensional network, so that the system-wide equity performance can be viewed as a distribution of all passengers in different states.
According to the time and space distribution characteristics of passenger flow at Beijing South Station, the simulation experiment is conducted to observe the passenger flow dynamic distribution based on the train schedules.
