Using mobile phone data for Spatial Planning simulation and Optimization Technologies (SPOT)

Creators: Gueye, Serigne; Ndiaye, Babacar M.; Josselin, Didier; Poss, Michael; Faye, Roger Marcelin; Michelon, Philippe

Others:: Laboratoire Informatique d'Avignon (LIA) ; Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI; Études des Structures, des Processus d'Adaptation et des Changements de l'Espace (ESPACE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS); Methods, Algorithms for Operations REsearch (MAORE) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS); École Supérieure Polytechnique de Dakar (ESP) ; Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)

Description

We propose in this paper a methodology to find locations or relocations of some Dakar region amenities (home, shop, work, leisure places), that may reduce travel time or travel distance. The proposed methodology mixes multi-agent simulation with combinatorial optimization techniques; that is individual agent strategies versus global optimization using Geographical Information System. We use MATSim as a multi-agent simulator system, and need for that to generate agent plans. Some additional methods are thus proposed to generate representative agent plans from mobile phone data provided by Orange. Some preliminary numerical results are presented on the Dakar region showing the potential of the approach.

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Using mobile phone data for Spatial Planning simulation and Optimization Technologies (SPOT)

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