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Impact of Aggregation and Deterrence Function Choice on the Parameters of Gravity Model

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Innovations in Smart Cities and Applications (SCAMS 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 37))

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Abstract

Mobility is part of our everyday lives. Modeling transport must take in consideration economical, social and environmental aspects of a city. The main purpose of this paper is to present a comprehensive presentation of different formulas of gravity models to estimate origin destination matrix (ODM) using the most used deterrence functions to provide parameters of calibration of trip distribution model. Network managers need an accurate ODM to operate their activities such as failure management, anomaly detection, design and traffic engineering. Thus, to improve the network management, it’s a prerequisite to model the traffic between different zones through the estimation of OD matrix. We will discuss in detail the gravity-entropy model and the generation of this model using entropy maximization approach and we will focus on the calibration process using Hyman methods for three different deterrence functions using a practical application on Moroccan national mobility. We also demonstrate that changing the level of aggregation of data is significantly influencing the parameters values of ODM estimation.

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Authors and Affiliations

  1. Laboratory of Science Engineering, Faculty of Science, Ibn Zohr University, Agadir, Morocco

    Asma Sbai & Fattehallah Ghadi

Authors
  1. Asma Sbai
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  2. Fattehallah Ghadi
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Correspondence to Asma Sbai .

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Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Computer Sciences Department, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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Sbai, A., Ghadi, F. (2018). Impact of Aggregation and Deterrence Function Choice on the Parameters of Gravity Model. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74499-5

  • Online ISBN: 978-3-319-74500-8

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