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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