Focus Areas
Advanced Analytics
We examine how to best employ technologies to improve driver performance and safety, including technology that detects driver stress in real time and systems that can identify patterns in driver behaviors.
Existing and emerging in-vehicle technologies — entertainment systems, communications systems, and intelligent transportation systems — have made travel hours more productive and entertaining, forever transforming the way drivers interact with…
The purpose of this project was two-fold: to develop test procedures that can be used with production vehicles and nomadic technologies to assess distraction potential and usability, and to provide…
“This is Texas together on the road to zero,” said Robert Wunderlich as he opened the 2018 Traffic Safety Conference in Sugar Land, Texas, August 8–10. Wunderlich, the director of…
The Texas A&M Transportation Institute (TTI) recently signed a memorandum of agreement (MOA) with the Korea Transport Institute (KOTI). The MOA was signed during a visit by a Korean delegation…
Read Volume 3, Issue 2.
Texas A&M Transportation Institute (TTI) Senior Research Engineer Paul Carlson explains a National Cooperative Highway Research Program project that tests the performance of pavement markings that machine vision systems rely on in vehicles today. WATCH NOW
3135 TAMU
College Station, TX 77843-3135
(979) 317-2000
