Title

Modeling the Strategic Behavior of Drivers for Multi-Lane Highway Driving

Authors

Authors

Y. Luo; D. Turgut;L. Boloni

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

J. Intell. Transport. Syst.

Keywords

Driver Behavior; Highway Simulation; Multi-Agent Simulation; TRAFFIC SIMULATION; ROUTE CHOICE; TRAVEL; INFORMATION; DECISIONS; CARS; Transportation Science & Technology

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 have been carefully calibrated to represent the overall flow of traffic and they can also be extended to account for the cognitive limitations of the driver, such as reaction times. However, there are some aspects of driver behavior, such as strategic planning, that are difficult to formulate mathematically. In this article, 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 using virtual physics. We focus on the lane change decisions of the drivers, with special attention to the optimal lane positioning for a safe exit. We have used the model to simulate the flow of 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.

Journal Title

Journal of Intelligent Transportation Systems

Volume

19

Issue/Number

1

Publication Date

1-1-2015

Document Type

Article

Language

English

First Page

45

Last Page

62

WOS Identifier

WOS:000350110900005

ISSN

1547-2450

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