A major crash at FM 1093 Road and FM 1464 Road in Richmond brought traffic to a standstill Wednesday morning. The collision happened at 9:23 AM, disrupting what had already been a high-incident stretch of road.
Responding officers cleared the roadway, but the impact on the area was immediate. FM 1093 and FM 1464 see consistent crash activity—according to LocalTrafficAccidents.com data, seven major incidents have occurred at this intersection in the past 30 days alone, with every incident classified as major. The pattern extends back months: the same seven crashes appear in the 90-day and 12-month lookback windows, indicating this isn't a temporary spike.
Wednesday's collision adds to a broader pattern. State crash records from the Texas Department of Transportation show five crashes within about a quarter-mile of this location since January 2020, including one fatal. Contributing factors as recorded by the investigating officer, per TxDOT CRIS, show "Failed To Drive In Single Lane" as the leading factor, cited in three crashes at the corridor.
Fort Bend County recorded 1,116 incidents over the past 30 days, making this corner a notable trouble spot in regional context. Wednesdays have been particularly active here—the highest-incident day at the location over the past 90 days, with three crashes recorded on that day of the week.
Weather wasn't a factor this morning; conditions were clear and temperature sat at 88 degrees at the time of the crash. Responders worked to move vehicles and reopen lanes, and traffic eventually resumed normal flow. If you were in the area around midday Wednesday, you likely felt the ripple effect. Check current conditions before heading through Richmond on FM roads—with this corridor's recent activity, delays are worth anticipating.
Sources: TxDOT Crash Records Information System and Local Traffic Accidents database. Counts through September 16, 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.