caa a22 4500 605514879 CHVBK 20210128100706.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s10458-014-9269-x doi (NATIONALLICENCE)springer-10.1007/s10458-014-9269-x Affordance-based agent model for road traffic simulation [Elektronische Daten] [Feirouz Ksontini, René Mandiau, Zahia Guessoum, Stéphane Espié] Existing traffic simulations often consider normative driver behavior. Drivers do not always use physically delineated lanes: sometimes drivers use the entire road surface. Thus, current traffic simulations do not reproduce all observed urban and suburban traffic phenomena. To improve the validity of urban and suburban traffic simulations, we propose to consider driving context and driver behavior in terms of occupied space. We endow driver agents with an ego-centered representation of the environment based on the concept of affordances and virtual lanes. Affordances thus identify the possible space occupation actions afforded by the environment and by other agents. The proposed model was implemented using our ArchiSim tool. We show that this model is more efficient and realistic than existing models. The experiments also reproduce real traffic situations and compare simulated data to real data. The Author(s), 2014 Multi-agent simulation nationallicence Affordances nationallicence Traffic simulation nationallicence Virtual lanes nationallicence Driver behavior nationallicence Ego-centered representation nationallicence Space occupation nationallicence Ksontini Feirouz LAMIH UMR CNRS 8201, Université de Valenciennes, F-59313, Valenciennes, France aut Mandiau René LAMIH UMR CNRS 8201, Université de Valenciennes, F-59313, Valenciennes, France aut Guessoum Zahia LIP6, MAS Team, 4 place Jussieu, F-75005, Paris, France aut Espié Stéphane IFSTTAR, TS2-SIMU, 14-20 bd Newton, F-77447, Marne la Vallée Cedex 2, France aut Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/5(2015-09-01), 821-849 1387-2532 29:5<821 2015 29 10458 https://doi.org/10.1007/s10458-014-9269-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10458-014-9269-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ksontini Feirouz LAMIH UMR CNRS 8201, Université de Valenciennes, F-59313, Valenciennes, France aut NATIONALLICENCE 700 1- Mandiau René LAMIH UMR CNRS 8201, Université de Valenciennes, F-59313, Valenciennes, France aut NATIONALLICENCE 700 1- Guessoum Zahia LIP6, MAS Team, 4 place Jussieu, F-75005, Paris, France aut NATIONALLICENCE 700 1- Espié Stéphane IFSTTAR, TS2-SIMU, 14-20 bd Newton, F-77447, Marne la Vallée Cedex 2, France aut NATIONALLICENCE 773 0- Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/5(2015-09-01), 821-849 1387-2532 29:5<821 2015 29 10458