@article{12c4eb2c0a2b4fa19b348bca37a28694,
title = "Introducing latent psychological constructs in injury severity modeling: Multivehicle and multioccupant approach",
abstract = "This paper presents a comprehensive model of injury severity that accounts for unmeasured driver behavior attributes. The results of the model have important implications for the design of safety interventions and advanced vehicular features and technologies. Engineering designs that accommodate the diminished capabilities of older drivers, that include rear-seat safety features, and that alert drivers to potential frontal collisions before they occur (collision warning systems and automated braking systems) would contribute to substantial reductions in injury severity for occupants of vehicles.",
author = "Lavieri, {Patr{\'i}cia S.} and Bhat, {Chandra R.} and Pendyala, {Ram M.} and Garikapati, {Venu M.}",
note = "Funding Information: This research was partially supported by the U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning (D-STOP) Tier 1 University Transportation Center. The first author acknowledges funding support from CAPES and the Brazilian government. The second author acknowledges support from a Humboldt Research Award from the Alexander von Humboldt Foundation. The authors thank Lisa Macias for her help in formatting this document and thank the anonymous referees, who provided useful comments on an earlier version of the paper. Publisher Copyright: {\textcopyright} 2016, National Research Council. All rights reserved.",
year = "2016",
doi = "10.3141/2601-13",
language = "English (US)",
volume = "2601",
pages = "110--118",
journal = "Transportation Research Record",
issn = "0361-1981",
publisher = "US National Research Council",
}