title: Using micro-simulation to investigate the safety impacts of transit design alternatives at signalized intersections.
abstract: This study investigates the use of crash prediction models and micro-simulation to develop an effective surrogate safety assessment measure at the intersection level. With the use of these tools, hypothetical scenarios can be developed and explored to evaluate the safety impacts of design alternatives in a controlled environment, in which factors not directly associated with the design alternatives can be fixed. Micro-simulation models are developed, calibrated, and validated. Traffic conflicts in the micro-simulation models are estimated and linked with observed crash frequency, which greatly alleviates the lengthy time needed to collect sufficient crash data for evaluating alternatives, due to the rare and infrequent nature of crash events. A set of generalized linear models with negative binomial error structure is developed to correlate the simulated conflicts with the observed crash frequency in Toronto, Ontario, Canada. Crash prediction models are also developed for crashes of different impact types and for transit-involved crashes. The resulting statistical significance and the goodness-of-fit of the models suggest adequate predictive ability. Based on the established correlation between simulated conflicts and observed crashes, scenarios are developed in the micro-simulation models to investigate the safety effects of individual transit line elements by making hypothetical modifications to such elements and estimating changes in crash frequency from the resulting changes in conflicts. The findings imply that the existing transit signal priority schemes can have a negative effect on safety performance, and that the existing near-side stop positioning and streetcar transit type can be safer at their current state than if they were to be replaced by their respective counterparts.
authors.affiliation: University of Toronto, Department of Civil Engineering, 35 St. George Street, Toronto, Ontario, M5S 1A4, Canada. Electronic address: ylu.li@mail.utoronto.ca.
authors.forename: Lu
authors.initials: L
authors.lastname: Li
authors.affiliation: Ryerson University, Department of Civil Engineering, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada. Electronic address: bpersaud@ryerson.ca.
authors.forename: Bhagwant
authors.initials: B
authors.lastname: Persaud
authors.affiliation: University of Toronto, Department of Civil Engineering, 35 St. George Street, Toronto, Ontario, M5S 1A4, Canada. Electronic address: amer.shalaby@utoronto.ca.
authors.forename: Amer
authors.initials: A
authors.lastname: Shalaby
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D001334:Automobile Driving / Q000706:statistics & numerical data*; D002138:Calibration; D003198:Computer Simulation; D004779:Environment Design / Q000706:statistics & numerical data*; D006801:Humans; D016014:Linear Models; D009864:Ontario; D012449:Safety / Q000706:statistics & numerical data*
keywords: Crash prediction model; Micro-simulation; Safety performance function; Traffic conflict technique; Transit operation; Transit signal priority