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Authors: Laure Bourgois 1 ; Thomas Heckmann 1 ; Emmanuelle Grislin-Le Strugeon 2 and Jean-Michel Auberlet 1

Affiliations: 1 Université Paris Est, France ; 2 Université Lille-Nord de France et LAMIH-UMR 8201 and Université de Valenciennes, France

Keyword(s): Agent, Simulation, Pedestrian Model, Navigation, Following Mode.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Autonomous Systems ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Simulation

Abstract: To simulate pedestrian crowds, most of the current studies use the microscopic approach, in which the pedes- trian is modeled as an individual entity. With the microscopic approach, the heterogeneity in the pedestrian population is mostly based on inter-individual difference in the agent model parameters, like speed, destina- tion, etc. In fact, what can be seen in congested real situations, is some pedestrians choosing to temporarily follow other ones in order to facilitate the flow while going on avoiding collisions. Each pedestrian can choose to adopt and leave such a behavior according to his/her individual and local situation. In order to model and simulate this behavior, we propose to include in the pedestrian agent navigational model a decision process that allows to activate the following task in addition to the collision avoidance task. The decision depends on the agent’s internal state and on what it perceives in its environment. Our proposition is an attempt to define the conditions that must trigger the switching to another navigation mode, and the selection of the other agent to be followed, i.e. the “leader”. (More)

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Paper citation in several formats:
Bourgois, L.; Heckmann, T.; Grislin-Le Strugeon, E. and Auberlet, J. (2013). Activation of the Following Mode to Simulate Heterogeneous Pedestrian Behavior in Crowded Environment. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8565-38-9; ISSN 2184-433X, SciTePress, pages 178-183. DOI: 10.5220/0004195101780183

@conference{icaart13,
author={Laure Bourgois. and Thomas Heckmann. and Emmanuelle {Grislin{-}Le Strugeon}. and Jean{-}Michel Auberlet.},
title={Activation of the Following Mode to Simulate Heterogeneous Pedestrian Behavior in Crowded Environment},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2013},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004195101780183},
isbn={978-989-8565-38-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Activation of the Following Mode to Simulate Heterogeneous Pedestrian Behavior in Crowded Environment
SN - 978-989-8565-38-9
IS - 2184-433X
AU - Bourgois, L.
AU - Heckmann, T.
AU - Grislin-Le Strugeon, E.
AU - Auberlet, J.
PY - 2013
SP - 178
EP - 183
DO - 10.5220/0004195101780183
PB - SciTePress