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Authors: Asma Zoghlami 1 ; Cyril de Runz 2 and Herman Akdag 1

Affiliations: 1 University of Paris 8, France ; 2 University of Paris 8 and University of Reims, France

ISBN: 978-989-8565-39-6

Keyword(s): Geographical Information System, Spatiotemporal Modelling, Evolving System, City, Modal Temporal Logic.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Enterprise Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Representation and Reasoning ; Soft Computing ; Symbolic Systems ; Uncertainty in AI

Abstract: A city is by definition a relatively large town of a significant importance. It is a centre of population, commerce, culture, industry, etc. The city evolves over time and gets morphological, sociological, economic and political transformations. Geographic Information System (GIS) may be used in spatial analysis of both the current city and its evolution over time. Based on the past and the present of a city, we are interested in developing a methodology that goes from the spatiotemporal modelling of its evolution to its prediction in the future. The motivation behind this research is to create a tool for the decision support at the disposal of the town hall. This tool aims to help making future decisions about investments, transport networks, infrastructures, etc. In this paper, we propose a framework that allows defining the possible trajectories of the city following the spatial, temporal and functional dimensions. The definition of those trajectories will be attached to a reasonin g based on logic according to modalities, time and the imperfect nature of the information (imprecision, uncertainty, etc.). (More)

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Paper citation in several formats:
Zoghlami, A.; de Runz, C. and Akdag, H. (2013). Through a Fuzzy CTL Logic for Modelling Urban Trajectories - A Framework for Modelling City Evolution from Past to Future.In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 514-518. DOI: 10.5220/0004256305140518

@conference{icaart13,
author={Asma Zoghlami. and Cyril de Runz. and Herman Akdag.},
title={Through a Fuzzy CTL Logic for Modelling Urban Trajectories - A Framework for Modelling City Evolution from Past to Future},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={514-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004256305140518},
isbn={978-989-8565-39-6},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Through a Fuzzy CTL Logic for Modelling Urban Trajectories - A Framework for Modelling City Evolution from Past to Future
SN - 978-989-8565-39-6
AU - Zoghlami, A.
AU - de Runz, C.
AU - Akdag, H.
PY - 2013
SP - 514
EP - 518
DO - 10.5220/0004256305140518

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