title: Signal treatments to reduce heavy vehicle crash-risk at metropolitan highway intersections.
abstract: Heavy vehicle red-light running at intersections is a common safety problem that has severe consequences. This paper investigates alternative signal treatments that address this issue. A micro-simulation analysis approach was adopted as a precursor to a field trial. The simulation model emulated traffic conditions at a known problem intersection and provided a baseline measure to compare the effects of: an extension of amber time; an extension of green for heavy vehicles detected in the dilemma zone at the onset of amber; an extension of the all-red safety-clearance time based on the detection of vehicles considered likely to run the red light at two detector locations during amber; an extension of the all-red safety-clearance time based on the detection of potential red-light runners during amber or red; and a combination of the second and fourth alternatives. Results suggested safety improvements for all treatments. An extension of amber provided the best safety effect but is known to be prone to behavioural adaptation effects and wastes traffic movement time unnecessarily. A green extension for heavy vehicles detected in the dilemma zone and an all-red extension for potential red-light runners were deemed to provide a sustainable safety improvement and operational efficiency.
authors.affiliation: Accident Research Centre, Monash University, Victoria 3800, Australia.
authors.forename: Jeffery
authors.initials: J
authors.lastname: Archer
authors.forename: William
authors.initials: W
authors.lastname: Young
mesh_terms: D000063:Accidents, Traffic / Q000331:legislation & jurisprudence / Q000517:prevention & control*; D001334:Automobile Driving / Q000331:legislation & jurisprudence / Q000523:psychology; D002947:Cities; D003198:Computer Simulation; D003657:Decision Making; D004779:Environment Design; D006801:Humans; D016015:Logistic Models; D018986:Motor Vehicles; D010865:Pilot Projects; D014739:Victoria