title: A method for identifying rear-end collision risks using inductive loop detectors.
abstract: An innovative feature of this study is to firstly attempt to capture rear-end collision potentials from the analysis of inductive loop detector data. Signals collected from loops are applied for monitoring individual vehicle information on freeways to estimate safe stopping distances in car-following situations. An index to quantify the potential of rear-end collisions is derived, and further employed for developing criteria to evaluate levels of rear-end collision risks. The proposed methodology based on loop detector data enables to identify collision potentials in real time. It is believed that the index would be a valuable tool for operating agencies in developing various strategies and policies toward enhancements of traffic safety.
authors.affiliation: Center for Advanced Transportation Technology, Korea Transport Institute, 2311 Daewha-dong, Ilsan-gu, Koyang-shi, Kyunggi-do 411-701, Republic of Korea. cheolo@koti.re.kr
authors.forename: Cheol
authors.initials: C
authors.lastname: Oh
authors.forename: Seri
authors.initials: S
authors.lastname: Park
authors.forename: Stephen G
authors.initials: SG
authors.lastname: Ritchie
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D001334:Automobile Driving / Q000706:statistics & numerical data*; D004738:Engineering / Q000379:methods*; D004779:Environment Design; D006801:Humans; D008433:Mathematics; D018986:Motor Vehicles / Q000145:classification; D018570:Risk Assessment