Bryan, Texas, is now among the first cities in the country to have self-driving vehicles, or trolleys, operating on their city streets. The mayor of Bryan and the chancellor of The Texas A&M University System introduced members of the media to the two self-driving trolleys Oct. 31, as the vehicles began operating in a looped, […]
The Texas A&M University System has signed a five-year master agreement with 3M that expands on a decades-long partnership between 3M and the Texas A&M Transportation Institute (TTI) to develop roadway signage and pavement marking technologies. The master agreement, which came about as a result of the availability of transportation testing facilities and expertise located […]
Self-Driving Cars. Seamless communication between vehicles and the roadside. The ability to multitask while driving from point A to point B reliably, safely and on time. It all sounds a bit like the George Jetson future we were promised in the 1950s, minus the flying cars. The difference is — the connected vehicle/automated vehicle (CV/AV) […]
On Tuesday, October 13, and concurrent with the 89th Annual Transportation Short Course, the Texas A&M Transportation Institute’s (TTI’s) Materials and Pavements and Construction, Geotechnical and Structures Divisions hosted an open house of four transportation research laboratories. Facilities participating in the open house included TTI’s McNew Lab, High-Bay Structural and Materials Testing Lab, the Sensors […]
Before the new era of connected vehicles can become a reality, researchers must first find a way to test each proposed component and application under a variety of conditions that mimic real-world scenarios. For example, can the hardware inside a connected vehicle successfully receive and correctly interpret a queue warning, even with driving environments that […]
New facilities for the TTI HSECL should be up and running by the spring of 2013.
For the last four decades, TTI and TxDOT have ensured that wet-weather travel on the state’s 80,000 miles of roadways is safe — thanks to evaluating highly sophisticated and seldom-seen pieces of machinery.