abstract

This study focused on developing crash modification factors for two countermeasures that show promise for improving pedestrian safety: protected or protected/permissive left-turn phasing, and leading pedestrian intervals (LPIs). Data were acquired from four cities. The Empirical Bayes (EB) before-after study design was applied to estimate the change in expected crash frequency for crashes following treatment. The protected left-turn phasing evaluation showed a benefit in reducing vehicle–vehicle injury crashes, but did not produce statistically significant results for vehicle–pedestrian crashes. The LPI evaluation showed a statistically significant reduction in vehicle–pedestrian crashes with an estimated CMF of 0.87.

Speaker

Carol Tan | Team Leader, Safety Data & Analysis | Federal Highway Administration

Raghavan Srinivasan | Associate Director for Engineering and Data Sciences | UNC