Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates.

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Bibliographic Details
Title: Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates.
Authors: Sengupta A; HNTB Corporation, Bartow, FL 33830, USA. Electronic address: asengupta@hntb.com., Ilgin Guler S; Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. Electronic address: sig123@psu.edu., Gayah VV; Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. Electronic address: vvg104@psu.edu., Warchol S; Kittelson and Associates, Inc., USA. Electronic address: swarchol@kittelson.com.
Source: Accident; analysis and prevention [Accid Anal Prev] 2024 Aug; Vol. 203, pp. 107614. Date of Electronic Publication: 2024 May 22.
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.2024.107614