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Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model.

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Title: Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model.
Authors: Soleimani, Samira1 (AUTHOR) ssolei1@lsu.edu, Leitner, Michael1 (AUTHOR), Codjoe, Julius2 (AUTHOR)
Source: Accident Analysis & Prevention. Mar2021, Vol. 152, pN.PAG-N.PAG. 1p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 148806709
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Accident+Analysis+%26+Prevention%22">Accident Analysis & Prevention</searchLink>. Mar2021, Vol. 152, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=148806709
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.aap.2021.105985
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model.
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            NameFull: Soleimani, Samira
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            NameFull: Leitner, Michael
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            NameFull: Codjoe, Julius
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            – D: 15
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              Text: Mar2021
              Type: published
              Y: 2021
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              Value: 152
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            – TitleFull: Accident Analysis & Prevention
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