N.Y. Accepting Autonomous Vehicle Testing Applications
The state’s 2018 budget includes a year-long pilot program that allows authorized companies to test self-driving vehicles on public roads.

New York Gov. Andrew Cuomo

New York Gov. Andrew Cuomo
The State of New York is now accepting applications from companies wanting to test or demonstrate autonomous vehicles on public roads, Gov. Andrew Cuomo said.
The state’s 2018 budget allows for testing self-driving technology through a year-long pilot program.
“New York has emerged as one of the nation’s leading hubs for innovation, and as we invite companies and entrepreneurs to reimagine transportation technology, we will encourage the development of new, safe travel options for New Yorkers,” Cuomo said in a released statement.“With this action, we are taking a careful yet balanced approach to incorporating autonomous vehicles on our roads to reduce dangerous driving habits, decrease the number of accidents and save lives on New York roadways.”
A licensed human driver must occupy the driver’s seat whenever the self-driving test vehicle is operating on a public highway. Each autonomous vehicle must be listed in the application, and a $5 million insurance policy must be in place for each vehicle. Testing requirements and the application are available here.
Terri Egan, the New York Department of Motor Vehicles executive deputy commissioner, stressed the crucial role that such testing will play before fully autonomous vehicles come to market.
“While we all are familiar with the idea that self-driving cars will one day likely be commonplace, the reality is that there is a long road ahead before we get there,” she said. “We need to make sure these vehicles are safely tested on our roads, while providing opportunities for the public to become familiar with this technology. This is a balanced approach consistent with New York’s long track record of highway safety as well as innovation.”
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 →
