Abstract
The current highway geometric design guide provides a method for calculating intersection sight distance at two-way stop-controlled intersections by assuming that a departing driver on the minor road that would start from a resting position needs a fixed-time gap for departing the intersection regardless of the design speed or the grade on the major road. However, departing drivers may fail to perceive the speeds of the approaching vehicles on the major road in order to judge the available departure gap and decide whether or not to accept it. In this paper, a novel method is introduced to determine intersection sight distance requirements for two-way stop-controlled intersections based on actual drivers’ behavior and vehicle capabilities. The method incorporates acceleration profiles for vehicles starting from rest, which were developed based on field data collected using global positioning system (GPS) data loggers that recorded the positions (latitudes, longitudes, and altitudes) and the instantaneous speeds of different vehicle types piloted by different drivers at 1 s intervals. Design tables and an application example are presented to help designers select the required intersection sight distance based on the design speed and the grade on the major road.
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Acknowledgments
This research was financially supported by a strategic initiative fund from Abu Dhabi University to establish the Center of Transportation & Traffic Safety Studies at Abu Dhabi University. The authors would also like to thank the staff at the Highway Safety Information System (HSIS) for providing part of the statistical data used in this research.
References
AASHTO. (2011). “A policy on geometric design of highways and streets.” Washington, DC.
Akcelik, R., and Biggs, D. (1987). “Acceleration profile models for vehicles in road traffic.” Transp. Sci., 21(1), 36–54.
Bham, G. H., and Benekohal, R. F. (2002). “Development, evaluation, and comparison of acceleration models.” Proc., of 81st Annual Meeting of the Transportation Research Board, Transportation Research Board, Washington, DC.
Bonneson, J. A. (1992). “Modeling queued driver behavior at signalized junctions.” Transp. Res. Rec., 1365, 99–107.
Cunto, F., and Saccomanno, F. (2008). “Calibration and validation of simulated vehicle safety performance at signalized intersections.” Accid. Anal. Prev., 40(3), 1171–1179.
Cunto, F., and Saccomanno, F. (2009). “Simulated safety performance of rear-end and angled vehicle interactions at isolated intersections.” Can. J. Civ. Eng., 36(11), 1794–1803.
Dabbour, E. (2015). “Design gap acceptance for right-turning vehicles based on vehicle acceleration capabilities.” Transp. Res. Rec., 2521, 12–21.
Drew, D. R. (1968). Traffic flow theory and control, McGraw-Hill, New York.
FHWA (Federal Highway Administration). (2004). “Highway performance monitoring system, traffic data for high volume routes: Best practices and guidelines.” Office of Highway Policy Information, U.S. Dept. of Transportation, Washington, DC.
FHWA (Federal Highway Administration). (2016). “Highway safety information system.” ⟨http://www.hsisinfo.org/⟩ (Apr. 26, 2016).
Glauz, W. D., Harwood, D. W., and John, A. D. St. (1980). “Projected vehicle characteristics through 1995.” Transp. Res. Rec., 772, 37–44.
Gottsdanker, R. M. (1956). “The ability of human operators to detect acceleration of target motion.” Psychol. Bull., 53(6), 477–487.
Harwood, D., Mason, J., and Brydia, R. (2000). “Sight distance for stop-controlled intersections based on gap acceptance.” Transp. Res. Rec., 1701, 32–41.
Harwood, D., Mason, J., Brydia, R., Pietrucha, M., and Grittings, G. (1996). “Intersection sight distance.”, Transportation Research Board, National Research Council, Washington, DC.
Holux Technology. (2016). “Holux M-1000C GPS logger user manual.” ⟨www.holux.com/JCore/en/products/DLF.jsp?DLU=1758162.pdf⟩ (Apr. 25, 2016).
IBM. (2016). “IBM SPSS statistical software.” ⟨http://www.ibm.com/analytics/us/en/technology/spss/⟩ (Apr. 25, 2016).
Jiang, J. (2007). Linear and generalized linear mixed models and their applications, Springer, New York.
Long, G. (2000). “Acceleration characteristics of starting vehicles.” Transp. Res. Rec., 1737, 58–70.
López-Moliner, J., Maiche, A., and Estaún, S. (2003). “Perception of acceleration in motion-in-depth with only monocular and both monocular and binocular information.” Int. J. Method. Exp. Psychol., 24, 93–108.
NHTSA (National Highway Traffic Safety Administration). (2016). “Fatality analysis reporting system (FARS).” ⟨http://www-fars.nhtsa.dot.gov⟩ (Apr. 25, 2016).
Perco, P., Marchionna, A., and Falconetti, N. (2012). “Prediction of the operating speed profile approaching and departing intersections.” J. Transp. Eng., 1476–1483.
Pitcher, I. K. (1989). “Speed of isolated vehicles in residential streets.”, Australian Road Research Board, Melbourne, VIC, Australia.
Rakha, H., Snare, M., and Dion, F. (2004). “Vehicle dynamics model for estimating maximum light-duty vehicle acceleration levels.” Transp. Res. Rec., 1883, 40–49.
Rao, S. K., and Madugula, K. S. M. (1986). “Acceleration characteristics of automobiles in the determination of sight distance at stop-controlled intersections.” Civ. Eng. Practicing Des. Eng., 5, 487–498.
Schwarz, G. (1978). “Estimating the dimension of a model.” Ann. Stat., 6(2), 461–464.
Transportation Research Board. (2010). Highway capacity manual, 5th Ed., National Research Council, Washington, DC.
Wang, J., Dixon, K. K., Li, H., and Ogle, J. (2004). “Normal acceleration behavior of passenger vehicles starting from rest at all-way stop-controlled intersections.” Transp. Res. Rec., 1883, 158–166.
Watamaniuk, S., and Heinen, S. (2003). “Perceptual and oculomotor evidence of limitations on processing accelerating motion.” J. Vision, 3(11), 698–709.
Watamaniuk, S. N. J., and Duchon, A. (1992). “The human visual system averages speed information.” Vision Res., 32(5), 931–941.
Werkhoven, P., Snippe, H. P., and Alexander, T. (1992). “Visual processing of optic acceleration.” Vision Res., 32(12), 2313–2329.
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©2016 American Society of Civil Engineers.
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Received: Nov 2, 2015
Accepted: Sep 27, 2016
Published online: Nov 17, 2016
Published in print: Jan 1, 2017
Discussion open until: Apr 17, 2017
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