An Optimization of the Passenger Throughput at an Airport Security Checkpoint

DOI

10.2991/mecae-18.2018.24How to use a DOI?

Keywords

Petri Net; Markov theory; the GSPN model.

Abstract

With the rapid development of transportation, we are entering the era of large population distribution. Thus, how to optimize the passenger throughput at an airport security checkpoint has become a universal concern. This paper first builds up a Petri Net model which is based on random Generalized Stochastic Petri Net theory and Markov theory to describe security service process. Then this model is transformed into GSPN model for simplification under the premise of determining the structural reliability of the model. Based on the data given in the excel, we analyze the current process of security checkpoint. Finally, we identify bottlenecks existing in airport by analyzing the average tokens.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Meiying Yang
PY  - 2018/03
DA  - 2018/03
TI  - An Optimization of the Passenger Throughput at an Airport Security Checkpoint
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 135
EP  - 139
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.24
DO  - 10.2991/mecae-18.2018.24
ID  - Yang2018/03
ER  -