Comparing First-Order Microscopic and Macroscopic Crowd Models for an Increasing Number of Massive Agents

Joint Authors

Corbetta, Alessandro
Tosin, Andrea

Source

Advances in Mathematical Physics

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-03-20

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Physics

Abstract EN

A comparison between first-order microscopic and macroscopic differential models of crowd dynamics is established for an increasing number N of pedestrians.

The novelty is the fact of considering massive agents, namely, particles whose individual mass does not become infinitesimal when N grows.

This implies that the total mass of the system is not constant but grows with N .

The main result is that the two types of models approach one another in the limit N → ∞ , provided the strength and/or the domain of pedestrian interactions are properly modulated by N at either scale.

This is consistent with the idea that pedestrians may adapt their interpersonal attitudes according to the overall level of congestion.

American Psychological Association (APA)

Corbetta, Alessandro& Tosin, Andrea. 2016. Comparing First-Order Microscopic and Macroscopic Crowd Models for an Increasing Number of Massive Agents. Advances in Mathematical Physics،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1095879

Modern Language Association (MLA)

Corbetta, Alessandro& Tosin, Andrea. Comparing First-Order Microscopic and Macroscopic Crowd Models for an Increasing Number of Massive Agents. Advances in Mathematical Physics No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1095879

American Medical Association (AMA)

Corbetta, Alessandro& Tosin, Andrea. Comparing First-Order Microscopic and Macroscopic Crowd Models for an Increasing Number of Massive Agents. Advances in Mathematical Physics. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1095879

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1095879