Significantly impact the evolution of the U.S. next-generation transportation systems with emerging technologies on safety, mobility, and sustainability. Provide national and regional leadership for connected and automated transportation research, science, education, training, and deployment.
CCAT Distinguished Lecture Series
Dr. Jeannette Wing, Columbia University
Thursday, February 24th | 1:00 PM ET
Dr. Miralinaghi Receives Certificate of Appreciation at 2022 TRB Annual Meeting Center for Connected and Automated Transportation Principal Investigator, Dr. Mohammad Miralinaghi, has received a certificate of appreciation from Dr. Gregory Rowangould, the paper review chair of the Air Quality and Greenhouse Gas Mitigation Committee (AMS10). This committee falls under the Transportation Research Board of the National Academies and was awarded during the 2022 TRB Annual Meeting in Washington DC. Dr. Miralinaghi’s recognition was for his role as a paper review team member. Dr. Rowangould also serves as the Director of the Transportation Research Center and as an Associate Professor of Civil and Environmental Engineering at the University of Vermont. “I am honored to receive this award form the AMS10…
CCAT Research on Traveler Intention to Ride in Autonomous Vehicles Published in ‘Transportation’ Research from CCAT consortium member, Purdue University, has been published in the Transportation journal. ‘A multi‑group analysis of the behavioral intention to ride in autonomous vehicles: evidence from three U.S. metropolitan areas’ was officially accepted on November 30, 2021. This paper is part of the CCAT-funded research project, Behavioral Intention to Ride in an Autonomous Vehicle and Implications on Mode Choice Decisions, Energy Use, and Emissions. The authors include Christos Gkartzonikas, Lisa Lorena Losada-Rojas, Sharon Christ, V. Dimitra Pyrialakou, and Konstantina Gkritza. The paper proposes a theoretical model to assess the factors that influence users’ intention to ride in autonomous vehicles (AVs). The model includes influential components…