Automated Vehicle Safety: Heavy Duty Safety Drivers and Remote Operators – Safety Metric Foundations

Camila PhD Correa-Jullian, Mollie C. D'Agostino, Ali PhD Mosleh and Jiaqi PhD Ma

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: This research presents a risk-informed framework to derive metrics characterizing and tracking the safety performance of heavy-duty automated vehicles (HD-AVs) operations. A combination of traditional and novel hazard identification methods are leveraged to study potential human-system interactions in HD-AVs operations, ranging from safety drivers to remote operators.

Keywords: Engineering; Heavy-Duty Vehicles; Automated Vehicles; Automated Vehicle Control; Human Factors; Human Machine Systems; Risk Analysis; Transportation Safety (search for similar items in EconPapers)
Date: 2026-08-01
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/01b0s8tm.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt01b0s8tm

Access Statistics for this paper

More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().