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220924t20222022vauab ob 101 0 eng d |
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|a EBLCP
|b eng
|e rda
|e pn
|c EBLCP
|d UIU
|d TXA
|d OCLCF
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|a 9780784484319
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|a 0784484317
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|a AU@
|b 000072778434
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|a (OCoLC)1344541289
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|a HE336.T7
|b I58 2022
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|a UAMI
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|a International Conference on Transportation and Development 2022.
|p Application of Emerging Technologies :
|b selected papers from the International Conference on Transportation and Development 2022, Seattle, Washington, May 31-June 3, 2022 /
|c edited by Heng Wei, Ph.D., P.E.
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|a Application of Emerging Technologies
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|i Title also appears in preface as:
|a ASCE ICTD 2022
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|a ICTD 2022
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|a Reston, Virginia :
|b American Society of Civil Engineers,
|c [2022]
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|c Ã2022
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|a 1 online resource (ix, 270 pages) :
|b illustrations (some color), colord maps
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|2 rdaft
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|b PDF
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|a Sponsored by the Washington State Department of Transportation and the Transportation & Development Institute of the American Society of Civil Engineers.
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|a This collection contains 24 peer-reviewed papers on emerging transportation technologies presented at the International Conference on Transportation and Development 2022, held in Seattle, Washington, May 31-June 3, 2022. Topics include: AI and machine learning; traffic patterns and modeling; deep learning; and vehicle tracking.
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|a "This collection will be of interest to transportation engineers, researchers, policymakers, and planners looking forward to new advancements in transportation technologies."--Abstract
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|a Includes bibliographical references.
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|a Description based on online resource; title from PDF image of title page (ASCE, viewed on February 2, 2023).
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|a Knovel
|b ACADEMIC - Transportation Engineering
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|a Traffic flow
|v Congresses.
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650 |
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|a Traffic monitoring
|v Congresses.
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|a Artificial intelligence
|x Engineering applications
|v Congresses.
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|a Machine learning
|v Congresses.
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650 |
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|a Traffic safety
|x Evaluation
|v Congresses.
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650 |
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7 |
|a Artificial intelligence
|x Engineering applications.
|2 fast
|0 (OCoLC)fst01750450
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650 |
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7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
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650 |
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7 |
|a Traffic flow.
|2 fast
|0 (OCoLC)fst01154142
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650 |
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|a Traffic monitoring.
|2 fast
|0 (OCoLC)fst01740265
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650 |
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7 |
|a Traffic safety
|x Evaluation.
|2 fast
|0 (OCoLC)fst01154227
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|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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|a Conference papers and proceedings.
|2 lcgft
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1 |
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|a Wei, Heng
|c (Civil engineer),
|e editor.
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|a Washington (State).
|b Department of Transportation,
|e sponsoring body.
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|a Transportation & Development Institute (American Society of Civil Engineers),
|e sponsoring body.
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|a International Conference on Transportation and Development
|d (2022 :
|c Seattle, Wash.),
|j author
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|u https://appknovel.uam.elogim.com/kn/resources/kpICTDAET1/toc
|z Texto completo
|
938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL29920080
|
938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL29920080
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994 |
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|a 92
|b IZTAP
|