Our Focus
Advanced Analytics
Our Projects
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.
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Assessing Driver Distraction due to In-Vehicle Video Systems Through Field Testing
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…
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Test Procedures for Evaluating Distraction Potential in Connected Vehicle Systems
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…
news
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Voice-to-text apps offer no driving safety benefit; as with manual texting, reaction times double
For release: April 23, 2013 For more information: Bernie Fette, 979-845-2623 (office); 979-777-7532 (cell); Samantha Atchison, 979-845-7576 (office); 979-595-4755 (cell) Texting drivers may believe they’re being more careful when they use…
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Texas Together on the Road to Zero: TTI’s Traffic Safety Conference Looks at Ending Fatalities
“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…
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TTI Signs MOA with Korea Transport Institute
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…
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Read the Latest Issue of Safetynet
Read Volume 3, Issue 2.
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RELLIS Campus Enters Exciting New Phase of Automated Vehicle Testing
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