The Advanced Vehicle Technology Consortium (AVT)

The Advanced Vehicle Technology Consortium (AVT)

The Advanced Vehicle Technology (AVT) Consortium was launched in September 2015 with the goal of achieving a data-driven understanding of how drivers leverage vehicle automation, driver assistance technologies, and the range of in-vehicle and portable technologies for connectivity and infotainment.

Using advanced computer-vision software and big data analytics, researchers are gathering data to quantify drivers’ actions, such as how they respond to various driving situations and perform other actions like eating or having conversations behind the wheel. The research is studying the moments when control transfers from the driver to the car and back again, as well as how drivers respond to alarms (lane keeping, forward collision, proximity detectors, etc.) and leverage technologies (e.g., semi-autonomous parking assistance, assisted cruise control, vehicle infotainment and communications systems, smartphones and more). The effort aims to develop a human-centric insights that drive the safety efficacy of automated vehicle technology development and advances the consumer’s understanding of appropriate technology usage.

Who is Involved?

As an academic industry partnership, the AVT Consortium brings together key stakeholders in the automotive ecosystem in a unique collaborative effort at Massachusetts Institute of Technology (MIT). Founding
members of the AVT Consortium include the MIT AgeLab, Touchstone Evaluations, and Agero. Consortium membership also includes automakers, insurance companies and tier-1 suppliers. To date, Delphi, Liberty Mutual Insurance, Jaguar Land Rover, Autoliv and Toyota have joined the founding members in this consortium.  

Initial Data Collection and Timeline

Data collection began in January 2016 and is expected to continue for several years, gathering data and insights on the ongoing innovations in automotive technology and changing consumer behaviors related to portable technologies brought into the vehicle. As of September 2016, the consortium has gathered more than 15 terabytes of data across more than 30,000 miles of travel. The effort is now rapidly increasing the size of the data set. The study currently has Tesla models S and X vehicles instrumented and driving in the Greater Boston Area, is expanding to include 2017 Volvo vehicles equipped with Pilot Assist technology, and additional data collection areas. The program is also leveraging additional MIT-owned test vehicles including two 2017 Volvo S90s, two 2016 Range Rover Evoques, one 2014 Mercedes CLA and one 2014 Chevrolet Impala. The effort plans to add new vehicles of interest as they are introduced into the marketplace.

AVT Publications

Abraham, H., Lee, C., Brady, S., Fitzgerald, C., Mehler, B., Reimer, B. & Coughlin, J.F. (2017). Autonomous vehicles and alternatives to driving: trust, preferences, and effects of age. Proceedings of The Transportation Research Board 96th Annual Meeting, Washington, D.C. (pdf)

Abraham, H., McAnulty, H., Mehler, B., & Reimer, B. (in press). Case study of today's automotive dealerships: introduction and delivery of advanced driver assistance systems. Transportation Research Record, No. 2660.

Abraham, H., Reimer, B., & Mehler, B. (in press). Advanced driver assistance systems (ADAS): a consideration of driver perceptions on training, usage & implementation. Proceedings of the Human Factors and Ergonomics Society 2017 Annual Meeting. Austin, TX.

Seppelt, B., Reimer, B., Angell, L., Seaman, S. (in press). Considering the human across levels of automation: implications for reliance. Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design. Manchester Village, VT.

Further Information

Primary Contact

Bryan Reimer, Ph.D.
Research Scientist MIT AgeLab & Associate Director
New England University Transportation Center



MIT AgeLab
1 Main Street, 9th Floor
Cambridge, MA 02142
ph: 617.253.0753
email: agelabinfo(at)

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