EVALUATING DRIVER BEHAVIOR IN YELLOW INTERVAL AT SIGNALIZED INTERSECTIONS
Abstract
Signalized intersection is one of the most popular type of control at intersections in urban areas. Study
of the elements of this type of control is vital to reduce accident rate, improve performance, and decrease
delay. Yellow period is one of the parameters which has influence in performance of these type of
intersections specially accident rate. At the indication of yellow interval, when drivers approach a
signalized intersection, they need either to proceed and cross the intersection or stop safely before the stop
line. The objective of this study is to identify significant factors that impact driver’s decision at yellow
interval in dilemma zone. Data was collected using questionnaire survey and video recording technique at
two signalized intersections in Duhok city for the period of peak and off-peak hours. Assessing the effects
of influential factors including vehicle speed, distance to the stop line and vehicle type on driver behavior
has been achieved through observations of trends from graphs and statistical analyses using Logistic
regression. Results of questionnaire survey indicate that the younger drivers of (18-30) years are more
aggressive and end up running a red light. Moreover, the results of trend analysis showed that number of
drivers who run the yellow decreases as the distances to stop line increases and dilemma zone at peak
hours are located nearer to the stop line as compared to off peak hours. The lower green time to cycle time
ratio in four leg intersection increased the probability of crossing the intersection instead to wait for
another green period. Results of all three parts show that both the vehicle speed and distance to the stop
line are significant factors affecting driver decision.
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References
Lord-Attivor, R. (2014). Modeling the
Dynamics of Driver’s Dilemma Zone
Perception Using Machine Learning Methods
for Safer Intersection Control. MAUTC
Report.
Al Jaman, S., Alam, M., & Hamdi, A. (2018). Effects
of automated traffic enforcement on driver
behavior at a signalized intersection in Saudi
Arabia. International Journal of Civil
Engineering and Technology (IJCIET),
Volume 9, Issue 2, pp. 389–401, Article ID:
IJCIET_09_02_037.
AL-Kubaisi, M. L. (2009). The Dilemma at
Signalized Intersection Dilemma Zone. Iraqi
Journal of Civil Engineering. Vol.6 No.1.
Al-Neami, A. H. K. 1995. A Computer Program for
Traffic Abstraction and Analysis.
Bonneson, J. A., Brewer, M. A. & Zimmerman K.H.
(2001). Review and evaluation of factors that
affect the frequency of red-light-running.
Transportation Research Board, 4027:78.
Brewer, M., Bonneson, J. & Zimmerman, K. (2000).
Engineering countermeasures to
red-light-running. The ITE 2002 Spring
Conference and Exhibit. Institute of
Transportation Engineers; Washington, DC,
USA: 2002.
Duhok Traffic Agency. (2019). Duhok.
Felicio, G. P., Grepo, L. C., Reyes, V. F. & Yupingkun,
L. C. (2015). Traffic light displays and driver
behaviors: A case study. 6th International
Conference on Applied Human Factors and
Ergonomics (AHFE 2015) and the Affiliated
Conferences, AHFE 2015.
Garber, N. J. & Hoel, L. A. (2009). Traffic and
Highway Engineering. (4th ed). USA.
Gazis, R., Herman, R. & Maradudin, A. (1960). The
problem of the amber signal light in traffic
flow. Operations Research, 8, 112–130.
Hosmer, D. W. & Lemeshow, S. (2013). Applied
logistic regression. In: (3rd ed.). New York:
Hoboken: Wiley.
Kennedy, J. & Sexton, B. (2009). Literature review of
road safety at traffic signals and signalized
crossings. Transport Research Laboratory.
Koll, H., Bader, M. & Axhausen, K. W. (2004).
Driver behavior during flashing green before
amber: a comparative study. Accident Analysis
and Prevention. 36, 273-280.
Li, M.，Zhang, L. & Yang，X． (2013)．A review of
yellow dilemma problem and a dynamic speed
guidance system design based on CVIS. 13th
COTA International Conference of
Transportation Professionals. Shenzhen．
Lum, K.M. & Wong, Y. D. (2001). A before-and-after
study of driver stopping propensity at red light
camera intersections. Accident Analysis and
Prevention. 35, 111–120, DOI:
10.1016/S0001- 4575(01)00096-3. Machiani, S.G. (2014). Modeling Driver Behavior at
Signalized Intersections: Decision Dynamics,
Human Learning, and Safety Measures of
Real-time Control Systems. PhD thesis.
Oda, T., Suda, Y., Tanaka, S. & Yamaguchi, D. (2007).
Evaluation of stopping behavior of drivers in
dilemma zone using driving simulation, Int. J.
ITS Res., vol. 5, no. 1, pp. 47–54, 2007.
Parasonson, P. S., Roseveare, R. W. & Thomas, J. M.,
JR. (1974). Small-area detection at
intersection approaches. Traffic Engineering,
2.
Pathivada, B.K. & Perumal, V. (2017). Modeling
driver behavior in dilemma zone under mixed
traffic conditions. Transportation research
procedia, 27, 961–968.
Rakha, H., El-Shawarby, I. & Setti, José R. (2008).
Characterizing Driver Behavior on Signalized
Intersection Approaches at the Onset of a
Yellow-Phase Trigger. Intelligent
Transportation Systems, IEEE Transactions on.
8. 630 - 640. 10.1109/TITS.2007.908146.
Roess, R.P., Prassas, E.S. & McShane W.R. (2004).
Traffic Engineering. (3rd ed). Prentice Hall.
NJ.
Schattler, K.L. & Datta, K.T. (2004). Driver Behavior
Characteristics at Urban Signalized
Intersections. Transportation research record.
SPSS. (2016). Statistical Package for the Social
Sciences for Windows, Version 23.
Talabany, A. F. S. (2009). Driver Behavior during
Amber at Signalized Intersections in Arbil City.
Zanco Journal of Pure and Applied Sciences.
Tranmer, M & Elliot, M. (2008). Binary logistic
regression. Cathie Marsh for Census and
Survey Research.
Urbanik，T. & Koonce，P． (2007) ．The dilemma
with dilemma zones．ITE District 6th Annual
Meeting, Portland．
Wang, W., Li, Y., Lu, J., Li, Y. & Wan, Q. (2019).
Estimating rear-end accident probabilities with
different driving tendencies at signalized
intersections in China. Journal of Advanced
Transportation, vol. 2019, Article ID 4836908,
11 pages, 2019.
Yan, X., Radwan, E., Klee, H. & Guo D. (2005).
Driver behavior during yellow change interval.
Driving Simulation Conference, 88–97,
Orlando, FL
Yang, Z. T. X., Wang W., Zhou X. & Hongmei, L.H.
(2014). Research on driver behavior in yellow
interval at signalized intersections, Hindawi
Publishing Corporation. Math Probl Eng 2014,
518782, DOI: 10.1155/2014/518782. United
States of America Cengage Learning.
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