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: Guidelines for deploying weather responsive operations in TXDOT traffic signals
  title info:
    title: Improving safety and efficiency of signalized intersections during inclement weather
  name:
    name part: Balke, Kevin N.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Chaudhary, Nadeem A.
    role:
      role term: author.
  name:
    name part: Sunkari, Srinivasa R.
    role:
      role term: author.
  name:
    name part: Charara, Hassan A.
    role:
      role term: author.
  name:
    name part: Florence, David
    name part: (Graduate Research Assistant)
    role:
      role term: author.
  name:
    name part: Stevens, Charles
    name part: (Research Engineer)
    role:
      role term: author.
  name:
    name part: Tydlacka, Jonathan
    role:
      role term: author.
  name:
    name part: Texas
    name part: Department of Transportation.
    name part: Research and Technology Implementation Office,
    role:
      role term: sponsoring body.
  name:
    name part: United States
    name part: Federal Highway Administration,
    role:
      role term: sponsoring body.
  name:
    name part: Texas A & M Transportation Institute
    role:
      role term: publisher.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: txu
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiii, 162 pages) : color illustrations
  abstract: Inclement weather, such as rain, snow, fog, and ice, create special operational challenges for traffic management agencies. This project provided Texas Department of Transportation with technical guidance for improving safety and efficiency of signalized intersections during inclement weather. As part of this project, the research team examined available technologies for detecting adverse weather at signalized intersections and provided technical guidance on strategies for modifying traffic signal operations during various types of weather events. A realistic and practical architectural framework for collecting and disseminating weather information to improve signalized intersection operations was developed by the research team. The research team deployed the architecture at intersections in Dumas, Burleson, and Nassau Bay and conducted simulation and field studies to explore the benefits of providing weather responsive traffic signal operations. The research team also provided guidance for operating traffic signals and various developing traffic signal timing plans for large scale evacuations, such as hurricane evacuations in coastal regions.
  note: by Kevin N. Balke, Nadeem Chaudhary, Srinivasa Sunkari, Hassan Charara, David Florence, Charles Stevens, Geza Pesti, Jonathan Tydlacka.
  note: "Report Number FFHWA/TX-16/0-6861-1"--Technical report documentation page.
  note: Technical report; February 2015--December 2016.
  note: Performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration 0-6861.
  note: Includes bibliographical references (pages 113-114).
  subject:
    geographic code: n-us-tx
  subject:
    topic: Signalized intersections
    geographic: Texas
    topic: Safety measures
  subject:
    topic: Traffic signs and signals
    geographic: Texas
    topic: Safety measures
  subject:
    topic: Automobile driving in rain
    geographic: Texas
    topic: Safety measures
  subject:
    topic: Traffic signs and signals
    topic: Natural disaster effects
  subject:
    topic: Evacuation of civilians
    geographic: Texas
  related item:
    title info:
      title: Research report (Austin, Tex.) ; 0-6861-1
  identifier: http://tti.tamu.edu/documents/0-6861-1.pdf
  record info:
    record content source: TXA
    record creation date: 170405
    record change date: 20170926114700.0
    record identifier: in00003837545
    language of cataloging:
      language term: eng