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Modeling Lane Preferences in Agent-Based Multi-Lane Highway Simulation

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Computer and Information Sciences II

Abstract

Simulation of highway driving was traditionally the domain of virtual physics based models. Yet, traffic simulation is incomplete without considering the drivers’ conscious strategic and tactical behavior. These aspects can be naturally simulated through an agent-based driver model. In this paper, we describe a model of the strategic lane preferences of the drivers, with a special attention to the optimal lane positioning for a safe exit. Our experiments show that the simulated traffic of Orlando’s Highway 408 matches well with the real world traffic data. The increased simulation detail can be applied to crash prediction and the control of intelligent transportation system devices, such as variable speed limits.

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Notes

  1. 1.

    http://www.expresswayauthority.com/Corporate/aboutStatistics/HistoricalTraffic.aspx

References

  1. Luo, Y., Bölöni, L.:Towards a more accurate agent-based multi-lane highway simulation. In: Proceedings of International Workshop on Agents in Traffic and Transportation (ATT10), in conjunction with the 9th Joint Conference on Autonomous and Multi-Agent Systems (AAMAS 2010), pp. 13–20. May 2010

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  3. Pande, A., Abdel-Aty, M.: Assessment of freeway traffic parameters leading to lane-change related collisions. Elsevier J. Accid. Anal. Prev. 38, 936–948 (2006)

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Author information

Authors and Affiliations

  1. Dept of EECS, University of Central Florida, Orlando, USA

    Yi Luo & Ladislau Bölöni

Authors
  1. Yi Luo
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  2. Ladislau Bölöni
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Corresponding author

Correspondence to Ladislau Bölöni .

Editor information

Editors and Affiliations

  1. , Dept of Electrical and Electronics Eng'g, Imperial College, London, SW7 2BT, United Kingdom

    Erol Gelenbe

  2. Imperial College, London, United Kingdom

    Ricardo Lent

  3. University of East London, London, United Kingdom

    Georgia Sakellari

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© 2011 Springer-Verlag London Limited

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Luo, Y., Bölöni, L. (2011). Modeling Lane Preferences in Agent-Based Multi-Lane Highway Simulation. In: Gelenbe, E., Lent, R., Sakellari, G. (eds) Computer and Information Sciences II. Springer, London. https://doi.org/10.1007/978-1-4471-2155-8_47

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  • DOI: https://doi.org/10.1007/978-1-4471-2155-8_47

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2154-1

  • Online ISBN: 978-1-4471-2155-8

  • eBook Packages: EngineeringEngineering (R0)

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