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Génération d'emplois du temps individuels pour une simulation multi-agents des mobilités urbaines quotidiennes
| Content Provider | Semantic Scholar |
|---|---|
| Author | Marilleau, Nicolas Thevenin, Thomas Banos, Arnaud Chardonnel, Sonia Lang, Christophe Boffet-Mas, Annabelle |
| Copyright Year | 2006 |
| Abstract | Space-time-activity surveys have been widely used in France since the 1970's. However, these surveys have most of the time been exploited in a much aggregated perspective, providing very classical macro indicators. Nonetheless, they provide very rich and detailed information about the daily mobility of urban populations, for example on trip chaining. Given the increasing complexity of urban daily mobility and the increasing needs of urban planning, it then makes sense to improve our practice, including our capacity to reveal complex patterns by simulation. In such a perspective, we present an attempt to model and simulate the “swarming” city, using a multi-agents system (MADKIT platform). In our model, agents are designed to plan activity programs and perform their corresponding trips in a dynamic urban environment they need to explore, given their initial limited knowledge. This paper will then focus on two key challenges: a) the creation of a population of artificial agents that may be representative of a surveyed sample ; b) the automated generation of individual daily activity programs. MOTS-CLÉS : Ville, Mobilité quotidienne, Programme d'activité, Time geography, Système complexe, Système multi-agents. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cddthema.univ-fcomte.fr/doc_num.php?explnum_id=343 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
