Abstract
Most of the work about pedestrian simulations concern situations of homogeneous interactions between them as for planning and for designing in transportation studies. These studies assume that pedestrians broadly share common behavior and goal (reaching out of a building, crossing a street, following target …). They do not take into account the many inter-pedestrian interactions induced by a dynamical environment requiring a contextual adaptation, for instance a situation with a danger perceived. In order to model different interactions between pedestrians in complex and dynamic context/situation such as urban area, we propose an exploratory work which concerns different types of interaction between pedestrians and other actors. Thus the model will be able to take simultaneously different kind of interaction. Technically, to deviate from a dangerous pedestrian, one will accept to get closer to other “normal” pedestrians whereas in panic situation, pedestrians may forget there initial destination. Thus, one alters for a while his interactions or his destination based on his perception of the environment and of the context. Our framework is the Multi-Agent Systems, within which the pedestrian travels can be seen as an agent coordination problem, coordination which is often competitive, occasionally cooperative. Thus, we propose an Agent-based model with a hierarchical architecture driven by perception, articulated with some controllers suited for various situations. The model is generic since it use for different task as road crossing, collision avoidance, danger avoidance and group interaction. First scenarios were tested to check our model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adel, S., Ramdane, M., Sahnoun, Z.: Towards more flexible BDI Agents, In: International Conference on Agents and Artificial Intelligence (2012)
Allen, T. M., Lunenfeld, H., Alexander, G.J.: Driver information Needs, In: Highway Research Board, vol. 36, pp. 102–115 (1971)
Bourgois, L., Oulhaci, A., Auberlet, J.-M.: Simulation de déplacement: Vers un modèle de perception et de prédiction du comportement d’autrui, In: Journées Francophones des Systèmes Multi-Agents (2010)
Bourgois, L., Saunier, J., Auberlet, J.-M.: Towards contextual goal-oriented perception for pedestrian simulation, In: International Conference on Agent and Artificial Intelligence (2012)
Bourgois, L., Rabai, H., Auberlet, J.-M: Adaptation dynamique du comportement: vers un modèle guidé par la perception, In: Reconnaissance de Formes et Intelligence Artificielle (2012)
Fruin, J.: Pedestrian planning and design, In: Metropolitan Association of Urban Designers and Environmental Planners (1971)
Helbing, D., Molnar, P.: Social force model for pedestrian dynamics, In: Physical Review E, vol. 51, pp. 4282–4286 (1995)
Hoogendoorn, M., Treur, J., van der Wal, C., Van Wissen, A.: Agent-based modelling of the emergence of collective states based on contagion of individual states in groups, In: Transactions on computational collective intelligence, pp. 152–179 (2011)
Hoogendoorn, S. P., Daamen, W.: Pedestrian Behavior at Bottlenecks, In: Journal Transportation Science (2005)
Johansson, A., Helbing, D., Shukla, P.K.: Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data, In: Advances in Complex Systems, 2007.
Lamarche, F.: Humanoïdes virtuels, réaction et cognition: une architecture pour leur autonomi, Thèse de doctorat, IRISA Renne (2003).
Lamarche, F., Donikian, S.: La sélection d'action. Le traité de la réalité virtuelle, In: Presses de l'Ecoles de Mines de Paris, vol. 5, chap. 12 (2009)
Malenfant, J., Denier, S.: ARM: un modèle réflexif asynchrone pour les objets répartis et réactifs, Actes de LMO 2003, In: Revue L'Objet, Hermès/Lavoisier, vol. 9, n° 1–2, pp. 91–103 (2003)
Mandiau, R., Hanon, D., Grislin-le Strugeon, E.: Modèles comportementaux appliqués à la navigation de piétons, Granié, M.-A., Auberlet, J.-M. (eds.), In: Le piéton et son environnement - Quelles interactions ? Quelles adaptations ?, Actes du 1er colloque francophone de la plate-forme intégrative COPIE – Comportement du PIéton dans son Environnement, pp. 49–60, Les Collections de l’INRETS, Paris (2007)
McKenzie, F., Petty, M., Kruszewski, P., Gaskins, R., Nguyen, Q.-A., Seevinck, J., Weisel, E.: Integrating crowd-behavior modeling into military simulation using game technology, In: Journal Simulation and Gaming (2008)
Moulin, B., Larochelle, B.: Crowdmags, Multi-agent Geo-Simulation of the interactions of a crowd and control forces, In: Modelling, Simulation and Identification (2010)
Moussaïd, M., Perozo, N., Garnier, S., Helbing, D., Theraulaz, G.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics, In: PLoS ONE (2010)
Pelechano, N., O’Brien, K., Silverman, B., Badler, N.: Crowd Simulation Incorporating Agent Psychological Models, Roles and Communication, In: 1st Int'l Workshop on Crowd Simulation (2005)
Poulet, C., Corruble, V., El Fallah-Seghrouchni, A., Ramalho, G.: The Open System Setting in Timed Multiagent Patrolling, In: IAT, pp. 373–376 (2011)
Reynolds, C.W.: Flocks, Herds, and Schools: A Distributed Behavioral Model, Computer Graphics, In: SIGRAPH (1987)
Simonin, O., Ferber, J.: Un modèle multi-agent de résolution collective de problèmes situés multi-échelles, In: Journées Francophones des Systèmes Multi-Agents (2003)
Teknomo, K.: Application of microscopic pedestrian simulation model, In: Transportation Research Part F, vol. 9, pp. 15–27 (2006)
Weyns, D., Steegmans, E., Holvoet, T.: Towards active perception in situated multi-agent systems, In: Applied Artificial Intelligence (2004)
Acknowledgements
This research has been funded by the project Terra Dynamica supported by fond unique interministeriel (FUI 8).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Bourgois, L., Auberlet, JM. (2014). Pedestrian Agent Based Model Suited to Heterogeneous Interactions Overseen by Perception. In: Weidmann, U., Kirsch, U., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-02447-9_71
Download citation
DOI: https://doi.org/10.1007/978-3-319-02447-9_71
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02446-2
Online ISBN: 978-3-319-02447-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)