Related: National Safety Council Predicts Fourth of July Road Deaths
Newark: Riskiest Driving City Over Fourth of July
Newark, N.J., roadways were found to be 53% riskier than any other U.S. city between July 3 and July 5, 2018, based on commercial fleet data collected by Lytx, a provider of video telematics and analytics.

The fleet data also showed that driving in the early morning—specifically, between 5 a.m. and 12 Noon—was 65% riskier than any other time of the day between July 3 and July 5.
Infographic courtesy of Lytx.
Newark, N.J., roadways were found to be 53% riskier than any other U.S. city between July 3 and July 5, 2018, based on commercial fleet data collected by Lytx, a provider of video telematics and analytics.
Other cities that ranked among the top five riskiest places to drive during that period include Baltimore, Chicago, Los Angles, and Philadelphia.
The 2018 fleet data also showed that driving in the early morning — specifically, between 5 a.m. and 12 noon — was 65% riskier than any other time of the day between July 3 and July 5.
Other challenging times to be on the roads include noon to 5 p.m., which ranked as the second most risky time. That was followed by nighttime, specifically, 9 p.m. to 5 a.m., and finally, evening, specifically, 5 p.m. to 9 p.m.
The study also evaluated the top risky behaviors engaged in by drivers over the July 3 - 5, 2018 holiday period. Not enough following distance ranked as the worst behavior, followed by driving without a seatbelt and violating speed limits.
The data was collected between July 3 and July 5, 2018 from Lytx’s client database, including public and private fleets in the trucking, waste, transit, government, construction, field services, and other industries.
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 →
