An accident occurred at FM 521 Road and Sienna Parkway in Rosh on Sunday, May 03, 2026, at 3:00 AM. The crash was classified as major severity.
According to LTA data, this intersection has recorded four major incidents over the past 30 days, a rate that places it in the moderate-incident category within the Fort Bend County corridor network. Over the past 90 days, all eight incidents at this location have been classified as major, indicating a consistent severity pattern rather than high overall frequency.
The incident occurred during an off-peak period. However, the intersection's historical incident profile shows that 43 percent of crashes here occur during rush hours, with Friday the most common day for incidents at this location—three crashes over the 90-day tracking window. The off-peak timing of this weekend accident suggests the location experiences traffic risk across multiple periods of operation.
Conditions at the time were clear, with temperatures around 56°F.
Fort Bend County recorded 1,137 total traffic incidents over the same 30-day period, including one fatal crash. LTA tracks 67,819 incidents across the 13-county Houston-Galveston region.
The most common incident type at this intersection remains accidents, consistent with the 90-day pattern. No further details regarding lane closure duration, vehicle count, or injury status were available at report time.
Sources: TxDOT Crash Records Information System and Local Traffic Accidents database. Counts through October 1, 2026.
Before this crash, the location had recorded 2 other incidents in 30 days.
The 22 weeks since this incident have brought 12 more crashes here. Major collisions accounted for 11 of those incidents.
Several of the incidents hit within days of one another.
The aggregate count puts this location in the most active tier of county crash sites.
Data current as of September 28, 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.