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Representation of the Agent Environment for Traffic Behavioral Simulation

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Transactions on Computational Collective Intelligence XV

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 8670))

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Abstract

The aim of this paper is to improve the validity of traffic simulations in (sub-)urban context, with a better consideration of driver behavior in terms of anticipation of positioning on the lanes and occupation of space. We introduce a model based on a multi-agent approach and the emergence concept. This model considers that each driver perceives the situation in an ego-centered way and readapts the road space using the virtual lane concept. We implement the model with the traffic simulation tool ArchiSim. The so obtained simulator intends to reproduce the observed behavior such as filtering between vehicles (two-wheels, emergency vehicles), repositioning on lanes when approaching the road intersections and “exceptional” situations (stranded vehicle or improperly parked, etc.).

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Notes

  1. 1.

    The French National Institute for Transport and Safety Research (ex-INRETS).

  2. 2.

    The choice of this function is completely empirical; we have chosen the parameters that affect the behavior of the agent based on psychological studies.

  3. 3.

    The expected agent velocity on lane \(l_{j}\) is given by the weighted sum of the parameters mentioned below.

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Acknowledgements

This research was partially funded by the French Ministry of Education, Research and Technology, the Nord/Pas-de-Calais Region, the CNRS, the International Campus on Safety and Intermodality in Transportation (CISIT). We would like also to thank the anonymous reviewers for their comments.

Author information

Authors and Affiliations

  1. Université de Valenciennes et du Hainaut Cambrésis - LAMIH CNRS 8201, 59313, Valenciennes, France

    Feirouz Ksontini & René Mandiau

  2. Université Paris-Est/IFSTTAR/IM, 14-20 bd Newton, 77447, Champs-sur-Marne, France

    Feirouz Ksontini & Stéphane Espié

  3. Université de Paris 6 - LIP6, 4 Place Jussieu, 75252, Paris, France

    Zahia Guessoum

Authors
  1. Feirouz Ksontini
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  2. Stéphane Espié
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  3. Zahia Guessoum
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  4. René Mandiau
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Corresponding author

Correspondence to Feirouz Ksontini .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, Australia

    Ryszard Kowalczyk

  3. Departamento de Infomática y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  4. Departamento de Inteligenca Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

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Ksontini, F., Espié, S., Guessoum, Z., Mandiau, R. (2014). Representation of the Agent Environment for Traffic Behavioral Simulation. In: Nguyen, N., Kowalczyk, R., Corchado, J., Bajo, J. (eds) Transactions on Computational Collective Intelligence XV. Lecture Notes in Computer Science(), vol 8670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44750-5_3

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  • DOI: https://doi.org/10.1007/978-3-662-44750-5_3

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