A traffic stop on FM 1463 Road in Katy at 3:30 AM on Monday, April 27, 2026, added to an extreme pattern of incidents at the location. The stop occurred in mist conditions at 77°F.
The incident marks the 17th reported on FM 1463 over the past 30 days, according to LocalTrafficAccidents.com data. Over 90 days, the corridor has recorded 27 total incidents, with 24 classified as major. The concentration of incidents at this location significantly exceeds typical Fort Bend County patterns—the county recorded 1,273 incidents over the same 30-day period.
FM 1463 exhibits distinct timing patterns. While Monday's 3:30 AM stop occurred during off-peak hours, 28 percent of the corridor's crashes over 90 days have occurred during rush hour. Analysis of the past 90 days shows Tuesdays as the highest-incident day at this location, with six recorded incidents. The 5 PM to 6 PM hour represents the peak crash period, with three incidents during that window.
Accident-type incidents dominate the corridor's incident profile over the 90-day window. The specific nature of Monday's traffic stop and its contributing factors remain under investigation.
Fort Bend County experienced one fatal incident over the past 30 days among its 1,273 total incidents. Statewide, TxDOT reports crashes across Texas with annual comprehensive data available through the Crash Records Information System (CRIS).
Mist conditions were present at the time of the FM 1463 incident. TxDOT reports wet conditions contributed to over 14,000 Texas crashes in the most recent annual reporting period.
The LTA real-time incident database tracks 63,487 incidents across the 13-county Houston-Galveston region with updates every two minutes, providing granular corridor analysis not available through government annual reporting cycles.
LocalTrafficAccidents.com is an independent traffic incident reporting service covering 13 counties across the Houston DMA, with expansion underway to serve all major Texas markets and nationwide. Founded by a former police officer with accident investigation and reconstruction experience, and degrees in finance and law, our platform aggregates real-time dispatch, public safety, and transportation data to deliver verified incident reports. Our data identification and aggregation technology is patent pending. Data and content are amassed by both humans and AI tools under professional editorial oversight and supervision.