title: Safety surrogate histograms (SSH): A novel real-time safety assessment of dilemma zone related conflicts at signalized intersections.
abstract: Drivers' indecisiveness in dilemma zones (DZ) could result in crash-prone situations at signalized intersections. DZ is to the area ahead of an intersection in which drivers encounter a dilemma regarding whether to stop or proceed through the intersection when the signal turns yellow. An improper decision to stop by the leading driver, combined with the following driver deciding to go, can result in a rear-end collision, unless the following driver recognizes a collision is imminent and adjusts his or her behavior at or shortly after the onset of yellow. Considering the significance of DZ-related crashes, a comprehensive safety measure is needed to characterize the level of safety at signalized intersections. In this study, a novel safety surrogate measure was developed utilizing real-time radar field data. This new measure, called safety surrogate histogram (SSH), captures the degree and frequency of DZ-related conflicts at each intersection approach. SSH includes detailed information regarding the possibility of crashes, because it is calculated based on the vehicles conflicts. An example illustrating the application of the new methodology at two study sites in Virginia is presented and discussed, and a comparison is provided between SSH and other DZ-related safety surrogate measures mentioned in the literature. The results of the study reveal the efficacy of the SSH as complementary to existing surrogate measures.
authors.affiliation: Department of Civil and Environmental Engineering, Virginia Tech, 301-D Patton Hall, Blacksburg, VA 24060, United States. Electronic address: sahargh@vt.edu.
authors.forename: Sahar
authors.initials: S
authors.lastname: Ghanipoor Machiani
authors.affiliation: Department of Civil and Environmental Engineering, Virginia Tech, 301-A Patton Hall, Blacksburg, VA 24060, United States. Electronic address: abbas@vt.edu.
authors.forename: Montasir
authors.initials: M
authors.lastname: Abbas
mesh_terms: D001334:Automobile Driving / Q000523:psychology*; D003220:Conflict, Psychological; D003657:Decision Making; D004779:Environment Design; D006801:Humans; D011825:Radar; D012449:Safety; D014768:Virginia
keywords: DZ-protection algorithms; Dilemma zone (DZ); Safety surrogate histogram (SSH); Signalized intersections; Time to collision (TTC)