Wejo Group Limited (NASDAQ: WEJO), a global leader in Smart Mobility for Good™ products and services, today released new research revealing that an average journey across ten U.S. cities with populations ranging from 390,000 to 500,000 is 27.5% longer due to today’s congestion levels. Wejo evaluated travel times of 19.6 million journeys across Miami, FL; Oakland, CA; Atlanta, GA; Arlington, TX; Raleigh, NC; Omaha, NE; and Virginia Beach, VA to understand congestion conditions based on vehicle speeds and times with free-flowing traffic. Mid-sized cities have become increasingly popular and according to the 2020 U.S. Census, U.S. metro areas grew by 9% from 2010 to 2020.

“Driving into daily congestion causes loss of time, leading to decreases in efficiencies, increases in emissions, and risk of accidents posing greater risks on both our environment and our safety,” said Sarah Larner, executive vice president of strategy & innovation at Wejo. “Through this data, DoTs can identify roads with the most time lost due to congestion and evaluate vehicle volumes, road class, and road segment length to make infrastructure investment decisions to improve road traffic and safety. Drivers should also be mindful of the more dangerous and congested road segments to better plan and modify routes for daily commutes.”

Wejo’s findings were based on data from connected vehicles analyzed in the company’s Historic Traffic Patterns solution, a traffic intelligence solution that is part of a $3.4 billion market opportunity, from September 19, 2022, to October 10, 2022. The findings were based on the results of 5.16 billion data points from over 19.6 million journeys across the cities in the United States.

Key findings include:

Midsize cities experience 18% to 37% longer journeys on average: Miami, FL (37%); Oakland, CA (35%); Atlanta, GA (32%); Arlington, TX (29%); Raleigh, NC (22%); Omaha, NE (22%); Virginia Beach, VA, (22%); Minneapolis, MN (21%); Tulsa, OK (20%); Wichita, KS (18%).

Miami, FL, had the highest congestion levels: Miami, FL, journeys are 37% longer than they should be due to congestion. I95/I395 junction and State Road 1 in Miami experience the most traffic. The data also revealed that traveling after 6 p.m. on Thursday evenings could save drivers up to four hours per year for a 30-minute commute.

Wichita, KS, had the lowest congestion levels: Wichita, KS, is the least congested city of the ten assessed, with journeys taking only 18% longer due to congestion.

Cities experience heavier congestion during the evening rush: Across the ten cities, journeys from 4 p.m. to 7 p.m. (evening rush) are 1% to 11% longer than journeys from 7 a.m. to 10 a.m. (morning rush). The city with the most significant journey length increase from morning to evening is Atlanta, GA (11%).

For a deeper look at the data, you can view an infographic and interactive maps of each city here: https://www.wejo.com/resources/wejo-unveils-midsize-city-congestion-report

About Wejo

Wejo Group Limited is a global leader in cloud and software analytics for connected, electric, and autonomous mobility, revolutionizing the way we live, work and travel by transforming and interpreting historic and real-time vehicle data. The Company enables smarter mobility by organizing trillions of data points from 20.8 million vehicles, of which 13.9 million were active on the platform transmitting data in near real-time, and over 94.6 billion journeys globally as of December 31, 2022, across multiple brands, makes and models, and then standardizing and enhancing those streams of data on a vast scale. Wejo partners with ethical, like-minded companies and organizations to turn that data into insights that unlock value for consumers. With the most comprehensive and trusted data, information, and intelligence, Wejo is creating a smarter, safer, more sustainable world for all. Founded in 2014, Wejo has offices in Manchester, UK and in regions where Wejo does business around the world. For more information, visit www.wejo.com or connect with us on LinkedIn, Twitter, and Instagram.

Forward-Looking Statements

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