Profiling crash-associated factors and injury risk patterns among lost-in-thought (daydreaming) drivers: a combined cluster-sequence analysis approach.

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Bibliographic Details
Title: Profiling crash-associated factors and injury risk patterns among lost-in-thought (daydreaming) drivers: a combined cluster-sequence analysis approach.
Authors: Kalambay P; Department of Transportation Studies, Texas Southern University, 3100 Cleburne St. Tech #208, Houston, TX 77004, United States. Electronic address: panick.kalambay@tsu.edu., Balyagati P; Department of Civil and Environmental Engineering, Cleveland State University, 2121 Euclid Ave. FH #122, Cleveland, OH 44115, United States. Electronic address: p.balyagati@vikes.csuohio.edu., Kitali A; School of Engineering and Technology, University of Washington Tacoma, 1900 Commerce St. CUW #356, Tacoma, WA 98402, United States. Electronic address: akitali@uw.edu., Kidando E; Department of Civil and Environmental Engineering, Cleveland State University, 2121 Euclid Ave. FH #122, Cleveland, OH 44115, United States. Electronic address: e.kidando@csuohio.edu.
Source: Accident; analysis and prevention [Accid Anal Prev] 2026 Feb; Vol. 225, pp. 108315. Date of Electronic Publication: 2025 Nov 19.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2057
DOI:10.1016/j.aap.2025.108315