A major crash at Lawndale Street and San Saba Street early Monday morning sent at least one person to the hospital. Responding officers arrived at 5:04 AM to find the vehicles involved and began clearing the roadway.
The intersection sits in Harris County, where 18,014 incidents occurred over the past 30 days. This particular location, however, stands out for its crash frequency. According to LocalTrafficAccidents.com data, 68 crashes struck the Lawndale and San Saba intersection in the past 90 days—26 of them major. Over the past year, 174 total incidents have occurred there, including 74 major crashes and 3 fatalities.
The crash pattern here isn't confined to a single rush-hour window. While the single busiest hour is 8–9 AM (with 5 crashes), incidents occur throughout the day and night. Tuesdays see the most activity historically, with 11 incidents recorded in the most recent 90-day period.
State crash records from the Texas Department of Transportation show "Failed To Control Speed" as the leading contributing factor, cited in 71 crashes at this location since January 2020. Over that same period, TxDOT CRIS data documents 357 crashes within a quarter-mile of the intersection. Hit-and-run incidents account for 14.4 percent of those crashes—102 of 710 units involved fled the scene.
Weather conditions at the time of Monday's crash were scattered clouds and 79 degrees, with no adverse conditions reported.
Authorities did not immediately release details on injuries beyond hospital transport, vehicle counts, or lane closures. The roadway status and estimated clearance time were not provided at the time of reporting. Drivers in the area should expect delays and consider alternate routes until the scene is fully cleared.
**Update (1:05 PM CT):** The major crash at 8399 LAWNDALE ST @ 1099 SAN SABA ST, first reported at 5:04 AM, has cleared after more than 8 hours. All lanes have reopened and normal traffic flow has resumed in the area.
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.