Analysis and Modeling of Crossing Behavior at Urban Intersections in China
Publication: Journal of Transportation Engineering
Volume 137, Issue 2
Abstract
Crossing behaviors at intersections are conventionally described through the gap acceptance theory; however, many gap-forcing behaviors exist at Chinese urban intersections. In this study, gap-forcing behaviors were analyzed and modeled from the perspective of conflict avoidance using a new modeling methodology called virtual field graph. After providing the definition of the preemptive status and the method to calculate the preemptive level, a new driving behavior model that differentiates from the conventional gap acceptance model was established. Analysis of collected field conflict data indicates that 82.2% of drivers’ decisions are normal decisions, while 17.8% are abnormal decisions. This suggests that there should be a physiological critical preemptive level while the drivers are making decisions. The driving population’s critical preemptive level was calibrated with the collected field conflict data through the logistic regression method and maximum likelihood approach.
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References
Amundsen, F., and Hyden, C. (1977). “A traffic conflicts technique for examining urban intersection problems.” Proc., 1st Workshop on Traffic Conflicts, Institute of Transportation Economics, Oslo, Norway, 87–98.
Bunker, J., and Troutbeck, R. (2003). “Prediction of minor stream delays at a limited priority freeway merge.” Transp. Res., Part B: Methodol., 37(8), 719–735.
Drew, D. R. (1968). Traffic flow theory and control, McGraw-Hill, New York.
Hidas, P. (2002). “Modelling lane changing and merging in microscopic traffic simulation.” Transp. Res., Part C: Emerg. Technol., 10(5–6), 351–371.
Hidas, P. (2005). “Modelling vehicle interaction in microscopic simulation of merging and weaving.” Transp. Res., Part C: Emerg. Technol., 13(1), 37–62.
Hossain, M. (1999). “Capacity estimation of traffic circles under mixed traffic conditions using micro-simulation technique.” Transp. Res., Part A: Policy Pract., 33(1), 47–61.
Kaysi, I. A., and Abbany, A. S. (2007). “Modeling aggressive driver behavior at unsiganlized intersection.” Accid. Anal Prev., 39(4), 671–678.
Kaysi, I. A., and Alam, F. (2000). “Driver behavior and traffic stream interactions at unsignalized intersection.” J. Transp. Eng., 126(6), 498–505.
Kimber, R. M. (1989). “Gap-acceptance and empiricism in capacity prediction.” Transp. Sci., 23(2), 100–111.
Miles, D. E., and Johnson, G. L. (2003). “Aggressive driving behaviors: Are there psychological and attitudinal predictors?” Transp. Res., Part F: Traffic Psychol. Behav., 6(2), 147–161.
Pollatschek, M. A., Polus, A., and Livneh, M. (2002). “A decision model for gap acceptance and capacity at intersections.” Transp. Res., Part B: Methodol., 36(7), 649–663.
Regan, D. (2002). “Binocular information about time to collision and time to passage.” Vision Res., 42(22), 2479–2484.
Transportation Research Board (TRB). (2000). Highway capacity manual, National Research Council, Washington, D.C.
Troutbeck, R. J., and Kabo, S. (1999). “Limited priority merge at unsignalized intersection.” Transp. Res., Part A: Policy Pract., 33(3–4), 291–304.
Wang, W., Gao, H. L., and Li, W. Q. (2001). Method to analyze the capacity of roadway intersection, Science Press, Beijing (in Chinese).
Yang, J. G., Wang, Z. A., and Li Q. F. (2004). “A preliminary study on mixed and disordered traffic micro simulation.” J. System Simulation, 16(6), 1115–1117 (in Chinese).
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© 2011 ASCE.
History
Received: Jul 3, 2009
Accepted: Jun 7, 2010
Published online: Jul 19, 2010
Published in print: Feb 2011
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