A crash at 11300 W Bellfort Ave left the residential street disrupted early Wednesday morning. The incident happened at 4:25 AM on June 10, and responding officers worked to clear the roadway.
The timing caught what would normally be a quiet hour, but this location doesn't follow typical traffic patterns. According to LTA data, crashes here occur throughout the day and night rather than concentrating around a single peak window — though the corridor's busiest hour is 4–5 PM, when three crashes occurred in the past 30 days.
This crash is part of a larger pattern at this address. Over the past 30 days, the location has recorded 16 incidents, with 13 classified as major. Expand the window to 90 days and the count rises to 31 total incidents, 24 of them major. Over the past 12 months, authorities have responded to 44 incidents at or near this location, including 33 major crashes and one fatal.
Wednesday itself is statistically the most active day of the week here — the 90-day data shows five incidents occurred on Wednesdays at this corridor.
The state's longer historical record, per TxDOT CRIS public crash records, documents 130 crashes within about a quarter-mile of this address since January 2020. The most frequently recorded contributing factor by investigating officers is "Failed To Control Speed," cited in 38 of those crashes. Hit-and-run incidents account for 11.9% of the total — 31 cases among 261 vehicles involved in crashes at the location over that same period.
Details on injuries, vehicle count, or lane closures were not immediately available. Authorities cleared the scene and traffic flow resumed. The weather at the time of the incident was clear, with temperatures at 79°F.
Residents and commuters in this area should remain aware that crashes here occur at varied times throughout the day and week, making any hour a potential risk window on W Bellfort Ave.
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.