Combining Activity Scheduling and Path Planning to Populate Virtual Cities

Carl-Johan Jorgensen 1 Fabrice Lamarche 1
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : When navigating in a city, daily activities organisation is strongly interrelated with the choice of a path between the places where these activities can be performed. Most of existing crowd simulation models relies either on scripted behaviour or on decision models in which path planning and activity scheduling are computed separately. In this paper, we propose a model combining path planning and task scheduling into a single process. This process takes spatial and temporal constraints into account, as well as agents' personal preferences. It produces a path in the city, associated with a time-constrained arrangement of tasks to perform. This model allows us to credibly populate virtual cities with agents performing consistent individual activities.
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Communication dans un congrès
Gini, Maria and Shehory, Onn and Takayuki, Ito and Jonker, Catholijn. Autonomous Agents and Multiagent Systems, May 2013, Saint Paul, United States. IFAAMAS, pp.1129-1130, 2013, International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '13
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https://hal.inria.fr/hal-00913696
Contributeur : Fabrice Lamarche <>
Soumis le : mercredi 4 décembre 2013 - 11:43:19
Dernière modification le : mercredi 11 avril 2018 - 02:00:12

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  • HAL Id : hal-00913696, version 1

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Carl-Johan Jorgensen, Fabrice Lamarche. Combining Activity Scheduling and Path Planning to Populate Virtual Cities. Gini, Maria and Shehory, Onn and Takayuki, Ito and Jonker, Catholijn. Autonomous Agents and Multiagent Systems, May 2013, Saint Paul, United States. IFAAMAS, pp.1129-1130, 2013, International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '13. 〈hal-00913696〉

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