Papers by Keyword: Passenger Behavior

Abstract: A cellular automata based model was presented for the simulation of passenger transfer behavior in metro stations. Microscopic simulation experiments of passenger behaviors ran under typical scenarios to study the effects of passenger number and train connection on transfer efficiency. The results show that tansfer distance and transfer facility capacity have regular effect on transfer time with fluctuation of passenger numbers. And train connection effects on transfer time with the influence of transfer distances. Therefore, sensitivity of transfer time was put forth as an indicator of coordination of passenger flow, facility attribute and train connection. Passenger flow sensitivity coefficient and connection sensitivity coefficient were defined as quantitative indicators to evaluate transfer coordination which was once difficult to quantify. Case study shows that the indicators reflect coordination level of transfer station effectively.

Abstract: Terminals are important resources. They serve as a key role in transportation of people and goods in regional, national, and international commerce. Ensuring scheduled flight security and punctual is a basic requirement of civil aviation. In the premise that existing service resources unchanged, intelligent distribution and dispatch for passenger service resources in airport terminal building is an effective way to solve problems of delays for passengers. To study passenger departure processes in airport terminals, improve their operation, efficiencies, reduce delay, and improve service quality, a research on intelligent distribution for passenger service resources is developed using data integration methods, flow prediction method and intelligent simulation optimization algorithm.