Bottlenecks Identification Model of Passengers Flow through Safety Screening Process Based on Petri Net

DOI

10.2991/emehss-17.2017.29How to use a DOI?

Keywords

Passengers Flow, Bottleneck Identification, Petri Net, Secret Private Network, Markov Chain

Abstract

In this paper, three progressive models are established-the generic factor-determining model based on Petri Network, the asses model based on Secret Private Network(SPN), the dynamic model based on Markov Chain(MC), aiming at identifying the bottlenecks. The whole work is dependent on the calculation of the token value, the larger Token is, the more congested the process is. The fundamental elements in the Petri Net are firstly determined to help analyze procedures, then the factor-determining model based on Petri Net is built to generate the further SPN model. According to reasonable statistics, the time required for each step in the security check is calculated, which determines the initiation rate. Then the MC model of the same structure as the SPN model is established to determine the probability of reachable state, which is changed into the token value of place. Via analysis of the results, the problem area existing in current process is finally orientated-the preparation of belongings for X-ray screening.

Copyright

© 2017, 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  - Wenjie Li
PY  - 2017/04
DA  - 2017/04
TI  - Bottlenecks Identification Model of Passengers Flow through Safety Screening Process Based on Petri Net
BT  - Proceedings of the 2017 International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2017)
PB  - Atlantis Press
SP  - 119
EP  - 122
SN  - 2352-5398
UR  - https://doi.org/10.2991/emehss-17.2017.29
DO  - 10.2991/emehss-17.2017.29
ID  - Li2017/04
ER  -