A major crash at the intersection of Fannin Street and Pease Street happened at 2:56 AM on Sunday, October 04, 2026, leaving the area disrupted in the early morning hours.
This intersection in Harris County sits at the center of one of the region's most active crash corridors. According to LocalTrafficAccidents.com data, the location logged 120 total incidents over the past 30 days, with 43 of those classified as major. Over the past year, the intersection has recorded 1,616 total incidents, including 788 major crashes and 16 fatalities.
The broader picture is stark when examined through TxDOT CRIS public crash records. Since January 2020, within about a quarter-mile of this intersection, 3,870 crashes have occurred, resulting in 6 fatalities. Contributing factors as recorded by investigating officers, per TxDOT CRIS, show "Disregard Stop And Go Signal" as the leading factor, cited in 1,060 crashes at the corridor. The hit-and-run rate at this location stands at 8.9%, with 712 of 7,964 vehicles involved fleeing the scene.
This particular intersection doesn't follow typical commuter patterns. While Harris County experiences its highest crash volumes during traditional rush hours, this location sees most crashes fall outside weekday commute peaks. The single busiest hour at Fannin and Pease is 3–4 PM, when 19 crashes occurred over the analysis period. Mondays have historically been the most incident-heavy day at this intersection, accounting for 48 crashes in the 90-day window.
Weather conditions at the time of Sunday's crash were overcast with a temperature of 77°F—clear enough that wet conditions weren't a factor in this particular incident.
Authorities responded to clear the scene. Details about lane closures, vehicle counts, and injuries were not immediately available. The incident was resolved and traffic flow returned to normal operations.
Sources: TxDOT Crash Records Information System and Local Traffic Accidents database. Counts through October 4, 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.