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Across 739,950 rides in two matched five-month windows, the Las Vegas collision rate rose +231% (139 → 460 per million) - yet hard braking improved 16% and harsh acceleration fell 71%. The spike is not city-wide: it concentrates in North Las Vegas and the first two months of 2026.

June 6, 2025 - a Friday. D-Day is not a federal holiday, so the national fleet barely moves: −2.1%, within normal weekday variance. But beneath that quiet aggregate lies a sharply structured signal a −24.3% collapse in Washington DC, an afternoon suppression, and a late-night surge.

Nexar telematics data shows a +79.7% rise in IMU-detected collision rate year over year — coexisting with an all-time record low in NYC traffic fatalities.

The next Blue Moon rises on Sunday, May 31, 2026 — only the third since 2021. Drawing on Nexar’s May 2025 fleet baseline and peer-reviewed traffic-safety literature, this study models a “watch-for” narrative — a ceiling scenario consistent with external research, not a verified forecast.

Race Day Sunday, May 25, 2025. The Indianapolis 500 drew an estimated 275,000 spectators - yet Nexar fleet data captured a striking paradox: a city-wide traffic suppression, not a surge.

What happens to professional driving networks when America stops working? A full-week study of May 19-26, 2025 - bracketing the federal holiday on Monday, May 26 - measured against a four-week same-day-of-week baseline.

What happens to professional driving networks when Americans commute by bicycle? A full-season study of May 15, 2025 - the US national Bike to Work Day.

It’s clear to anyone that knows the importance of Thanksgiving day across the US that it impacts the regular life of all Americans. But this begs the question: How significantly, and in what ways, does driving activity during Thanksgiving week deviate from a regular week?

On our path to contribute to Safer Roads, we asked a simple but relevant question: What’s the most dangerous time of day to be on the road? General intuition tells us that commute hours are usually the worst. Is this true? And if so, how much? To answer this question, we deep dived on our historical records and looked into ride records, as well as road incidents registered (hard brakes and collisions).

As mobility, autonomous systems, and digital infrastructure evolve, the demand for up-to-date, high-accuracy mapping has never been greater. Traditional HD mapping approaches, reliant on expensive, slow-to-update sensor fleets, struggle to keep pace with rapidly changing road conditions. This analysis presents a new paradigm in mapping where dash cams capture real-time data from hundreds of thousands of vehicles, delivering fresh mapping data at a fraction of the cost. This technology provides unmatched freshness, cost efficiency, and scalability, revolutionizing how we map the world around us.

There’s a difference between what maps show and what actually exists in the real world. While humans can adjust to missing data, new (software-) map users, from AVs to driver assist functions (such as Intelligent Speed Assist), cannot. While some map layers, such as the base map, seldom change, additional map layers, such as road furniture (e.g. traffic signs), or lane information change more often. To ensure safety for AV applications, the data in all relevant map layers should be highly accurate, with any change quickly detected and updated on the map.