A major crash at Long Point Road and Black Hafner Drive sent at least one vehicle into the intersection early Friday morning. Responding officers arrived at the scene around 5:20 AM on September 25, where the wreckage blocked multiple lanes and snarled traffic during the pre-dawn hours.
The intersection has become a persistent flash point for crashes. According to LocalTrafficAccidents.com data, the location logged 10 incidents over the past 30 days, with 8 classified as major. Over the past 90 days, the count climbs to 64 total incidents, 45 of them major. In the past year alone, the intersection has recorded 136 crashes, 80 rated as major.
Long Point and Black Hafner typically experience crashes throughout the day rather than concentrating in a single peak window. The data shows the single busiest hour is 5–6 PM, when 7 crashes occurred, though incidents here scatter across all hours.
Contributing factors as recorded by investigating officers, per TxDOT CRIS public crash records, show "Failed To Yield Right Of Way - Stop Sign" as the leading factor, cited in 43 crashes at this intersection since January 2020. Over that same period, the corridor has recorded 206 total crashes with no fatalities, though 22 of 414 vehicles involved in those crashes fled the scene—a hit-and-run rate of 5.3%.
Weather conditions at the time of the Friday crash were favorable—few clouds and 75°F—so atmospheric factors did not appear to be a contributing element.
Emergency crews worked to clear the debris and reopen lanes. No details were available regarding injuries or the number of vehicles involved. Traffic was expected to return to normal flow once the roadway was cleared and vehicles were towed from the intersection.
For drivers using Long Point Road during morning hours, expect delays in the area until the scene is fully cleared. Monitor traffic reports for updates on lane reopening.
Sources: TxDOT Crash Records Information System and Local Traffic Accidents database. Counts through September 25, 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.