rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Highway safety analytics and modeling
  name:
    name part: Lord, Dominique
    name part: 1969-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Qin, Xiao
    name part: (Professor of civil and environmental engineering)
    role:
      role term: author.
  name:
    name part: Geedipally, Srinivas Reddy
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. Key features: Complements the Highway Safety Manual published by the American Association of State Highway and Transportation Officials. Provides examples and case studies for most models and methods. Includes learning aids such as online data, examples and solution to problems"--Back cover.
  table of contents: Fundamentals and data collection -- Crash -- frequency modeling -- Crash-severity modeling -- Exploratory analyses of safety data -- Cross-sectional and panel studies in safety -- Before -- after studies in highway safety -- Identification of hazardous sites -- Models for spatial data -- Capacity, mobility, and safety -- Surrogate safety measures -- Data mining and machine learning techniques -- Appendix A: Negative binomial regression models and estimation methods -- Appendix B: Summary of crash-frequency and crash-severity -- Appendix C: Computing codes -- Appendix D: List of exercise datasets.
  note: Dominique Lord, Xiao Qin, Srinivas R. Geedipally.
  subject:
    topic: Traffic safety
    topic: Data processing
  subject:
    topic: Traffic safety
    topic: Mathematical models
  subject:
    topic: Sécurité routière
    topic: Informatique
  subject:
    topic: Sécurité routière
    topic: Modèles mathématiques
  subject:
    topic: Traffic safety
    topic: Data processing
  subject:
    topic: Traffic safety
    topic: Mathematical models
  classification: HE5614
  classification: 363.125
  related item:
    title info:
      title: Highway safety analytics and modeling
    name:
      name part: Lord, Dominique, 1969-
    identifier: (OCoLC)1233303316
  identifier: 0128168196
  identifier: 9780128168196
  identifier: 9780128168189
  identifier: 0128168188
  identifier: 9780443300264
  identifier: 0443300267
  identifier: 9780128168196 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UIU
    record creation date: 210302
    record change date: 20260327170019.9
    record identifier: in00005767762
    language of cataloging:
      language term: eng