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040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781000726268
_q(electronic bk.)
020 _a1000726266
_q(electronic bk.)
020 _a9781003005599
_q(electronic bk.)
020 _a1003005594
_q(electronic bk.)
020 _a9781000726282
_q(electronic bk. : EPUB)
020 _a1000726282
_q(electronic bk. : EPUB)
020 _z9780367436704
020 _z0367436701
020 _z9781032204734
020 _z1032204737
024 7 _a10.1201/9781003005599
_2doi
035 _a(OCoLC)1334884657
035 _a(OCoLC-P)1334884657
050 4 _aHE5614
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aTR
_2bicssc
082 0 4 _a363.12/5
_223/eng/20220325
100 1 _aDas, Subasish,
_eauthor.
245 1 0 _aArtificial intelligence in highway safety
_h[electronic resource] /
_cSubasish Das.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2022.
264 4 _c©2022
300 _a1 online resource
520 _aArtificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.
588 _aOCLC-licensed vendor bibliographic record.
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 0 _aTraffic safety.
650 0 _aRoads
_xSafety measures.
650 0 _aArtificial intelligence.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003005599
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4641
_d4641