A major crash at South Gessner Road and Westheimer Road early Monday morning adds to a particularly active stretch of intersection that's seen 52 incidents over the past month, according to LocalTrafficAccidents.com data.
Responding officers arrived at the scene around 1:07 AM on June 22. The collision involved multiple vehicles. Crews worked to clear the debris and restore normal traffic flow through the intersection.
This intersection sits in Harris County, which logged 17,967 incidents in the past 30 days, including 15 fatalities. The specific location at South Gessner and Westheimer has developed a pronounced crash pattern. LTA's 30-day incident count of 52 represents a significant concentration—36 of those were classified as major incidents. Expand the view to 90 days, and the numbers climb: 173 total incidents, 99 of them major. Over the past 12 months, the intersection has recorded 244 incidents with 130 classified as major.
Historically, this corridor doesn't follow typical commute-hour patterns. Most crashes here fall outside the weekday rush peaks; the single busiest hour is 2–3 PM, when eight crashes occurred over the analysis period. Saturdays emerge as the highest-incident day, with 22 crashes logged in the past 90 days.
State crash records provide additional context. Per TxDOT CRIS public crash records, the corridor near this intersection has logged 521 crashes since January 2020, including four fatalities. The most common officer-recorded contributing factor is "Failed To Control Speed," cited in 166 of those crashes. The hit-and-run rate at the location stands at 15.7 percent—176 of 1,124 vehicle units involved.
Conditions at the time of Monday's crash were clear: few clouds, 81 degrees.
Traffic has since returned to normal at the intersection. Authorities completed their response and clearing operations without extended closures.
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.