CEE Ph.D. Defense Announcement: Modeling and Planning for Future Transportation System with Household-owned Automated Vehicles
Younghun Bahk, Ph.D. Candidate
UC Irvine, 2024
Professor Michael Hyland
Abstract: Privately owned autonomous vehicles (PAVs) introduce new travel behaviors, such as remote parking, returning home and serving other household members, potentially increasing vehicle miles traveled (VMT). This dissertation examines PAV travel patterns, assesses their impact on transportation systems and proposes design and policy measures to enhance mobility. While the exact performance of AVs on road networks remains uncertain, the findings indicate that PAV deadheading could negatively affect transportation systems. As the AV era approaches, planners must develop strategies that minimize deadheading miles. The advancements and insights in this dissertation provide a foundation for addressing these challenges and preparing for the impact of AVs.
Share
Upcoming Events
-
MSE 298 Seminar: Designing Safer Energetics Under Multiple Property Constraints - Combining Chemistry-Informed Machine Learning With Multiscale Models
-
CBE 298 Seminar: Multiscale Simulations of HIV Replication
-
MSE 298 Seminar: Identification and Engineering of Interlayer Stacking Configurations in van der Waals Crystals
-
EECS Seminar: Toward Energy-Efficient Foundation Models - Reimagining Digital Twin Solutions for Real-Time Sensing in Inaccessible Locations
-
MSE 298 Seminar: Lessons from Nature - Bio-Inspired Design of Functional Optical Materials