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Intersection-related crashes are associated with high proportion of accidents involving drivers,occupants,pedestrians,and cyclists.In general,the purpose of intersection safety analysis is to determine the impact of safety-related variables on pedestrians,cyclists and vehicles,so as to facilitate the design of effective and efficient countermeasure strategies to improve safety at intersections.This study investigates the effects of traffic,environmental,intersection geometric and pavement-related characteristics on total crash frequencies at intersections.A random-parameter Poisson model was used with crash data from 357 signalized intersections in Chicago from 2004 to 2010.The results indicate that out of the identified factors,evening peak period traffic volume,pavement condition,and unlighted intersections have the greatest effects on crash frequencies.Overall,the results seek to suggest that,in order to improve effective highway-related safety countermeasures at intersections,significant attention must be focused on ensuring that pavements are adequately maintained and intersections should be well lighted.It needs to be mentioned that,projects could be implemented at and around the study intersections during the study period(7 years),which could affect the crash frequency over the time.This is an important variable which could be a part of the future studies to investigate the impacts of safetyrelated works at intersections and their marginal effects on crash frequency at signalized intersections.
Intersection-related crashes are associated with high proportion of accidents involving drivers, occupants, pedestrians, and cyclists. General, the purpose of intersection safety analysis is to determine the impact of safety-related variables on pedestrians, cyclists and vehicles, so as to facilitate the design of effective and efficient countermeasure strategies to improve safety at intersections.This study investigates the effects of traffic, environmental, intersection geometric and pavement-related characteristics on total crash frequencies at intersections. A random-parameter Poisson model was used with crash data from 357 signalized intersections in Chicago from 2004 to 2010. The results indicate that out of the identified factors, evening peak period traffic volume, pavement conditions, and unlighted intersections have the greatest effects on crash frequencies. Overall, the results seek to suggest that, in order to improve effective highway-related safety countermeasures at intersections, signi ficant attention must be focused on ensuring that pavements are adequately maintained and intersections should be well lighted.It needs to be said that, projects could be implemented at and around the study intersections during the study period (7 years), which could affect the crash frequency over the time. This is an important variable which could be a part of the future studies to investigate the impacts of safety unrelated works at intersections and their marginal effects on crash frequency at signalized intersections.