NHTSA Provides Drugged Driving Grants to 5 States
To keep drug-impaired drivers off the nation's roadways, the National Highway Traffic Safety Administration (NHTSA) recently awarded more than $100,000 in funding to select states to educate law enforcement officers.

Federal grants will train officers in five states so they can better enforce drugged driving.
Photo via Thomas Hawk/Flickr.
To keep drug-impaired drivers off the nation's roadways, the National Highway Traffic Safety Administration (NHTSA) recently awarded more than $100,000 in funding to select states to educate law enforcement officers.
Specifically, the funding will support Drug Recognition and Advanced Roadside Impaired Driving Enforcement training in five states including Delaware, Kentucky, Massachusetts, Oklahoma, and West Virginia. It will also include Guam.
Managed by the International Association of Chiefs of Police in conjunction with NHTSA, the program provides a series of courses that train officers to spot motorists who are impaired by drugs such as opioids and marijuana. With the goal of reducing crashes involving substance abuse, officers learn to observe, identify and articulate the signs of impairment related to drugs, alcohol, or a combination of both substances.
The NHTSA grant finding must be used by the end of the 2019 fiscal year.
Earlier in 2018, the Governors Highway Safety Administration and the Foundation for Advancing Alcohol Responsibility awarded funding to Idaho, Minnesota, New York, Rhode Island and Vermont for the same educational training program for their respective law enforcement officers.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
