A major crash on Beechnut Street left the roadway disrupted early Tuesday morning at 1:39 AM. Responding officers worked the scene in Fort Bend County as the investigation unfolded in the overnight hours.
The incident marks the latest in a persistent pattern at this location. According to LTA data, Beechnut Street has logged 23 crashes over the past 30 days, with 3 of those classified as major. Over the past 90 days, the corridor has recorded 90 total incidents, 45 of them major. The numbers underscore the regularity of collisions in this area.
Beechnut Street is classified as a residential road, yet the crash frequency tells a different story about traffic behavior and conditions on this stretch. The data shows crashes here occur outside typical weekday commute windows — the single busiest hour for crashes at this location falls between 2 and 3 PM, according to LTA's incident database.
Longer-term state crash records paint an even wider picture. Per TxDOT CRIS public crash records, the corridor near 11901 Beechnut has seen 457 crashes since January 2020, including one fatal. Contributing factors as recorded by the investigating officer show "Failed To Control Speed" as the leading factor, cited in 108 crashes. The hit-and-run rate at the corridor stands at 14.5%, with 135 of the 934 units involved in crashes leaving the scene.
Conditions at the time of Tuesday's crash were clear, with temperatures around 77 degrees. No adverse weather contributed to the incident.
Details about injuries, vehicle counts, or lane closures were not immediately available. The roadway status and clearance timeline were not yet confirmed as of the initial report.
Fort Bend County recorded 1,081 total incidents over the past 30 days across all roadways, with zero fatalities in that window. This particular crash on Beechnut Street remains under investigation.
Sources: TxDOT Crash Records Information System and Local Traffic Accidents database. Counts through September 22, 2026.
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.