A loud crash reported at 10665 Richmond Ave at 3:43 AM on Thursday, July 16, 2026, marks another incident at a residential location that's seen heavy traffic trouble in recent weeks.
The Harris County location has logged 23 crashes in the past month alone, according to LocalTrafficAccidents.com data. Over the past 90 days, the same stretch has recorded 82 total incidents, with 42 classified as major. That's a steady drumbeat of collisions in what should be a quiet neighborhood corridor.
Authorities responded to the scene. Weather conditions at the time—overcast and 77 degrees—were clear, offering no obvious environmental explanation for the incident.
What's striking about this location isn't just the raw count. State crash records from the Texas Department of Transportation show 245 crashes within about a quarter-mile of this address since January 2020, with "Failed To Control Speed" the most frequently recorded contributing factor by investigating officers—cited in 70 of those crashes. That's a pattern that extends well beyond this month or even this year.
The timing of this particular crash—deep in the early morning hours—fits the broader pattern at this location. Most crashes here fall outside the weekday commute peaks. The single busiest hour is 12–1 PM, when seven crashes occurred over the LTA's monitoring period. Tuesdays have been the highest-incident day historically, with 12 crashes over 90 days. This Thursday-morning incident is part of a larger, persistent issue that doesn't respect time of day.
For drivers in the area, the takeaway is straightforward: this stretch of Richmond Ave has accumulated a significant crash history. Whether you're passing through at 3 AM or midday, conditions here warrant caution.
The incident has been cleared. No additional information about injuries, vehicle involvement, or lane closures was available at this time.
This report was produced by LTA's editor-designed production system under the executive editorial direction of Dennis R. Mundy, Executive Editor. The system combines our proprietary data pipeline with AI-assisted drafting to deliver verified incident coverage to LTA's editorial standards.