AASHTOWare compares and contrasts three methods for safety improvement location identification: 1) crash prediction model, 2) expected crash frequency exceeding threshold, and 3) crash prediction model + systemic safety characteristics.
TIM Training and Technology Supporting Post-Crash Care
FHWA
FHWA highlights efforts to support EMS through TIM technology, training, on-the-scene tools, and vehicles. Many states have introduced TIM training and technology to bolster post-crash care.
Traffic Incident Management Strategies for Electric Vehicle Fires
FHWA
With an increasing number of electric and hybrid vehicle fires on roadways, FHWA developed a State of Practice report to support roadway safety and incident management in EV fires.
ATSSA: 2025 Innovations Saving Lives on America’s Roads
ATSSA
ATSSA highlights roadway safety innovations that include AI & machine learning for predictive safety, smart work zone and connected vehicle technologies, modular and sustainable materials, enhanced visibility for pedestrians and workers, and real-time data integration.
Minnesota Avenue SE Between 27th Street SE and A Street SE
District Columbia
Minnesota Ave SE safety improvements such as curb extensions, bus bulb-outs, median refuges, parking setbacks, and protected bicycle lanes reduced crashes by 34% and injuries by 44%, with average speeds declining by 50%.
