Assessing Driving Styles in Commercial Motor Vehicle Drivers After Take-Over Conditions in Highly Automated Vehicles
Author:
Affiliation:
1. Department of Civil Engineering, University of Memphis, Memphis, TN, USA
Funder
Center for Transportation Innovations in Education and Research (C-TIER), University of Memphis
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9916643/09764655.pdf?arnumber=9764655
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