Abstract
An intersection is one of the most complex traffic situations that motorists, pedestrians and bicyclists all encounter. With different crossing and entering movements by motor vehicles, pedestrians and bicycles are often facing safety problems especially when crossing the right turn vehicle exclusive lanes. Currently the pedestrian crosswalks on pavements are not properly placed and there is no detailed guideline or procedures to locate such lane markings. In this paper, a fuzzy c-means based procedure is proposed to determine the placement of pedestrian crosswalk at right turn vehicle exclusive lane, which is based on the identification of the clusters of vehicle stopping positions. A case study in La Port, Texas, USA was conducted to illustrate how the procedure can be used in the real practice.
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Qiao, F., Zhu, Q., Kuo, PH., Li, Y., Yu, L. (2010). Fuzzy C-Means Based Stop Line and Crosswalk Placement at Right Turn Vehicle Exclusive Lane. In: Gao, XZ., Gaspar-Cunha, A., Köppen, M., Schaefer, G., Wang, J. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11282-9_29
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DOI: https://doi.org/10.1007/978-3-642-11282-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11281-2
Online ISBN: 978-3-642-11282-9
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