TY - JOUR
T1 - Impact of road environment on drivers’ behaviors in dilemma zone
T2 - Application of agent-based simulation
AU - Kim, Sojung
AU - Son, Young Jun
AU - Chiu, Yi Chang
AU - Jeffers, Mary Anne B.
AU - Yang, C. Y.David
N1 - Funding Information:
Work described in this article was funded by Federal Highway Administration's ( FHWA ) Exploratory Advanced Research Program. The University of Arizona and Leidos team performed this study under FHWA Contraction Numbers DTFH61-11-H-00015 and DTFH61-13-D-00024, respectively. Ms. Mary Anne Jeffers worked for Leidos when she carried out tasks under this study.
Publisher Copyright:
© 2015 Elsevier Ltd
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - At a signalized intersection, there exists an area where drivers become indecisive as to either stop their car or proceed through when the traffic signal turns yellow. This point, called a dilemma zone, has remained a safety concern for drivers due to the great possibility of a rear-end or right-angle crash occurring. In order to reduce the risk of car crashes at the dilemma zone, Institute of Transportation Engineers (ITE) recommended a dilemma zone model. The model, however, fails to provide precise calculations on the decision of drivers because it disregards the supplemental roadway information, such as whether a red light camera is present. Hence, the goal of this study was to incorporate such roadway environmental factors into a more realistic driver decision-making model for the dilemma zone. A driving simulator was used to determine the influence of roadway conditions on decision-making of real drivers. Following data collection, each driver's decision outcomes were implemented in an Agent-Based Simulation (ABS) so as to analyze behaviors under realistic road environments. The experimental results revealed that the proposed dilemma zone model was able to accurately predict the decisions of drivers. Specifically, the model confirmed the findings from the driving simulator study that the changes in the roadway environment reduced the number of red light violations at an intersection.
AB - At a signalized intersection, there exists an area where drivers become indecisive as to either stop their car or proceed through when the traffic signal turns yellow. This point, called a dilemma zone, has remained a safety concern for drivers due to the great possibility of a rear-end or right-angle crash occurring. In order to reduce the risk of car crashes at the dilemma zone, Institute of Transportation Engineers (ITE) recommended a dilemma zone model. The model, however, fails to provide precise calculations on the decision of drivers because it disregards the supplemental roadway information, such as whether a red light camera is present. Hence, the goal of this study was to incorporate such roadway environmental factors into a more realistic driver decision-making model for the dilemma zone. A driving simulator was used to determine the influence of roadway conditions on decision-making of real drivers. Following data collection, each driver's decision outcomes were implemented in an Agent-Based Simulation (ABS) so as to analyze behaviors under realistic road environments. The experimental results revealed that the proposed dilemma zone model was able to accurately predict the decisions of drivers. Specifically, the model confirmed the findings from the driving simulator study that the changes in the roadway environment reduced the number of red light violations at an intersection.
KW - Agent-based simulation (ABS)
KW - Dilemma zone behavior
KW - Driver decision
KW - Intersection safety
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U2 - 10.1016/j.aap.2015.08.019
DO - 10.1016/j.aap.2015.08.019
M3 - Article
C2 - 26611237
AN - SCOPUS:84991080766
VL - 96
SP - 329
EP - 340
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
SN - 0001-4575
ER -