Y. Luo, D. Turgut, and L. Bölöni

Modeling the strategic behavior of drivers for multi-lane highway driving


Cite as:

Y. Luo, D. Turgut, and L. Bölöni. Modeling the strategic behavior of drivers for multi-lane highway driving. Journal of Intelligent Transportation Systems, 19(1):45–62, 2015.

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Abstract:

Current state-of-the-art highway traffic flow simulators rely extensively on models using formulas similar to those describing physical phenomena such as forces, viscosity or potential fields. These models had been carefully calibrated to model the overall flow of the traffic and they can also be extended to account for the cognitive limitations of the driver (such as reaction delay). There are, however, aspects of driver behavior such as strategic planning which are difficult to express through continuous formulas. We describe the YAES-DSIM highway simulator which integrates virtual physics models with an agent-based model. The virtual physics component models the physical vehicle and the subconscious aspects of the driver behavior, while the agent component is responsible for the strategic and tactical decisions which are difficult to model as virtual physics. In this paper we focus on the lane change decisions of the drivers, with a special attention to the optimal lane positioning for a safe exit. We have used the model to simulate the traffic on Highway 408 in Orlando, Florida and to study the impact of various tactical and strategic decisions on the efficiency and safety of the traffic.

BibTeX:

@article{Luo-2015-JITS,
   title = "Modeling the strategic behavior of drivers for multi-lane highway driving",
   author = "Y. Luo and D. Turgut and L. B{\"o}l{\"o}ni",
   journal = "Journal of Intelligent Transportation Systems",
   year = "2015",
   volume = "19",
   number = "1",
   pages = "45-62",
   xxximpactfactor = "1.250",
      abstract = {
    Current state-of-the-art highway traffic flow simulators rely
    extensively on models using formulas similar to those describing
    physical phenomena such as forces, viscosity or potential fields.
    These models had been carefully calibrated to model the overall flow
    of the traffic and they can also be extended to account for the
    cognitive limitations of the driver (such as reaction delay). There
    are, however, aspects of driver behavior such as strategic planning
    which are difficult to express through continuous formulas. We
    describe the YAES-DSIM highway simulator which integrates virtual
    physics models with an agent-based model. The virtual physics
    component models the physical vehicle and the subconscious aspects
    of the driver behavior, while the agent component is responsible for
    the strategic and tactical decisions which are difficult to model as
    virtual physics.
    In this paper we focus on the lane change decisions of the drivers,
    with a special attention to the optimal lane positioning for a safe
    exit. We have used the model to simulate the traffic on Highway 408
    in Orlando, Florida and to study the impact of various tactical and
    strategic decisions on the efficiency and safety of the traffic.
   },
}

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