Modelling spatio-temporal routines in human mobility

@article{Pappalardo2016ModellingSR,
  title={Modelling spatio-temporal routines in human mobility},
  author={Luca Pappalardo and Filippo Simini},
  journal={arXiv: Social and Information Networks},
  year={2016}
}
  • Luca Pappalardo, Filippo Simini
  • Published 2016
  • Computer Science, Physics
  • arXiv: Social and Information Networks
  • Human mobility modelling is of fundamental importance in a wide range of applications, such as the developing of protocols for mobile ad-hoc networks or what-if analysis in urban ecosystems. Current generative models fail in accurately reproducing the individuals' recurrent schedules and at the same time in accounting for the possibility that individuals may break the routine during periods of variable duration. In this article we present DITRAS (DIary-based TRAjectory Simulator), a framework… CONTINUE READING
    2 Citations
    A Data Mining Approach to Assess Privacy Risk in Human Mobility Data
    • 20
    • PDF
    Fast Estimation of Privacy Risk in Human Mobility Data
    • 5
    • PDF

    References

    SHOWING 1-10 OF 76 REFERENCES
    Modelling the scaling properties of human mobility
    • 830
    • Highly Influential
    • PDF
    Small World in Motion (SWIM): Modeling Communities in Ad-Hoc Mobile Networking
    • Sokol Kosta, A. Mei, Julinda Stefa
    • Computer Science
    • 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)
    • 2010
    • 69
    • Highly Influential
    • PDF
    Clustering daily patterns of human activities in the city
    • 175
    • Highly Influential
    • PDF
    SLAW: Self-Similar Least-Action Human Walk
    • 145
    • Highly Influential
    • PDF
    Limits of Predictability in Human Mobility
    • 2,385
    • Highly Influential
    • PDF
    Eigenbehaviors: identifying structure in routine
    • 340
    • Highly Influential
    • PDF
    SLAW: A New Mobility Model for Human Walks
    • 535
    • Highly Influential
    Understanding individual human mobility patterns
    • 4,623
    • Highly Influential
    • PDF
    The scaling laws of human travel
    • 1,730
    • Highly Influential
    • PDF
    Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model
    • 23
    • PDF