Abstract
Crowd behaviour is difficult to predict and might not be easy to translate. A number of mathematical and psychological models are proposed in the literature to investigate crowd behaviour. In this paper, we exploit mixed integer programming to model crowd behaviour with multiple time periods. This research improves upon methods by Breer et al. (2015) for determining the number of active agents and solving the problem of reducing this number by controlling reputations in a single period, under the added assumption of a reputation model of interactions (Granovetter, 1978). Thus, this paper goes on to extend the single period reputation control problem and solution to the case of multiple time periods. This class of problems requires a mixed integer program to be solved several times with a varying constraint and a varying number of variables. This model is then supported by a promising case study of queue management at airport security gates.
| Original language | English |
|---|---|
| Title of host publication | ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management |
| Publisher | IEEE |
| Pages | 32-36 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728143064 |
| DOIs | |
| Publication status | Published - Feb 2020 |
| Event | 9th International Conference on Industrial Technology and Management, ICITM 2020 - Oxford, UK United Kingdom Duration: 11 Feb 2020 → 13 Feb 2020 |
Publication series
| Name | ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management |
|---|
Conference
| Conference | 9th International Conference on Industrial Technology and Management, ICITM 2020 |
|---|---|
| Country/Territory | UK United Kingdom |
| City | Oxford |
| Period | 11/02/20 → 13/02/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- crowd behavior
- decision aid tool
- mixed integer programming
- reputation control model
- threshold model
ASJC Scopus subject areas
- Management of Technology and Innovation
- Strategy and Management
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
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