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Crash reductions related to traffic signal removal in Philadelphia
Authors:Bhagwant Persaud  Ezra Hauer  Richard Retting  Rama Vallurupalli  Kornel Mucsi
Affiliation:

a Ryerson Polytechnic University, Department of Civil Engineering, 350 Victoria Street, Toronto, Ontario, M5B 2K3, Canada

b University of Toronto, Department of Civil Engineering, 35 St. George Street, Toronto, Ontario, M5S 1A4, Canada

c Insurance Institute for Highway Safety, 1005 North Glebe Road, Arlington, VA 22201, U.S.A.

d University of Toronto, Department of Civil Engineering, 35 St. George Street, Toronto, Ontario, M5S 1A4, Canada

e Regional Municipality of Ottawa Carleton, 175 Loretta Ave. N., Ottawa, Ontario, K1Y 4L8, Canada

Abstract:The effect on intersection crashes of converting one-way street intersections in Philadelphia from signal to multiway stop sign control was estimated. Using crash and traffic volume data for a comparison group, regression models were computed to represent the normal crash experience of signal controlled intersections of one-way streets, by impact type, as a function of traffic volume. An empirical Bayesian procedure was used to estimate what would have been the expected number of crashes at the converted intersections had they not been converted. The empirical Bayesian estimates were compared with actual counts of crashes after conversion. Estimates were obtained for different classes of crashes categorized by impact type, day/night condition, and impact severity. Aggregate results indicate that replacing signals by multiway stop signs on one-way streets is associated with a reduction in crashes of approximately 24%, combining all severities, light conditions, and impact types.
Keywords:Signal removal  Safety evaluation  Empirical bayesian  Generalized linear modeling
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