Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 329-340 |
| Number of pages | 12 |
| Journal | Accident Analysis and Prevention |
| Volume | 96 |
| DOIs | |
| State | Published - Nov 1 2016 |
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Keywords
- Agent-based simulation (ABS)
- Dilemma zone behavior
- Driver decision
- Intersection safety
ASJC Scopus subject areas
- Human Factors and Ergonomics
- Safety, Risk, Reliability and Quality
- Public Health, Environmental and Occupational Health
- Law
Cite this
Impact of road environment on drivers’ behaviors in dilemma zone : Application of agent-based simulation. / Kim, Sojung; Son, Young-Jun; Chiu, Yi-Chang; Jeffers, Mary Anne B; Yang, C. Y David.
In: Accident Analysis and Prevention, Vol. 96, 01.11.2016, p. 329-340.Research output: Contribution to journal › Article
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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
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
UR - http://www.scopus.com/inward/record.url?scp=84991080766&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991080766&partnerID=8YFLogxK
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 -