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10. Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data.

Author

Thuillier, Etienne, Moalic, Laurent, Lamrous, Sid, and Caminada, Alexandre

Subjects
CLUSTER analysis (Statistics), CELL phones, CLASSIFICATION algorithms, PARAMETER estimation, MOBILE communication systems
Abstract

With the rapid growth of cell phone networks during the last decades, call detail records (CDR) have been used as approximate indicators for large scale studies on human and urban mobility. Although coarse and limited, CDR are a real marker of human presence. In this paper, we use more than 800 million CDR to identify weekly patterns of human mobility through mobile phone data. Our methodology is based on the classification of individuals into six distinct presence profiles where we focus on the inherent temporal and geographical characteristics of each profile within a territory. Then, we use an event-based algorithm to cluster individuals and we identify 12 weekly patterns. We leverage these results to analyze population estimates adjustment processes and as a result, we propose new indicators to characterize the dynamics of a territory. Our model has been applied to real data coming from more than 1.6 million individuals and demonstrates its relevance. The product of our work can be used by local authorities for human mobility analysis and urban planning. [ABSTRACT FROM PUBLISHER]

Published
2018
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31. On the Spatiotemporal Traffic Variation in Vehicle Mobility Modeling.

Author

Ait Ali, Kahina, Baala, Oumaya, and Caminada, Alexandre

Subjects
VEHICULAR ad hoc networks, TRAFFIC engineering, SPATIOTEMPORAL processes, ELECTRIC network topology, INFRASTRUCTURE (Economics)
Abstract

Several studies have shown the importance of realistic micromobility and macromobility modeling in vehicular ad hoc networks (VANETs). At the macroscopic level, most researchers focus on a detailed and accurate description of road topology. However, a key factor often overlooked is a spatiotemporal configuration of vehicular traffic. This factor greatly influences network topology and topology variations. Indeed, vehicle distribution has high spatial and temporal diversity that depends on the time of the day and place attraction. This diversity impacts the quality of radio links and, thus, network topology. In this paper, we propose a new mobility model for vehicular networks in urban and suburban environments. To reproduce realistic network topology and topological changes, the model uses real static and dynamic data on the environment. The data concern particularly the topographic and socioeconomic characteristics of infrastructures and the spatiotemporal population distribution. We validate our model by comparing the simulation results with real data derived from individual displacement survey. We also present statistics on network topology, which show the interest of taking into account the spatiotemporal mobility variation. [ABSTRACT FROM PUBLISHER]

Published
2015
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