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: APPLICATIONS OF HEURISTIC ALGORITHMS TO OPTIMAL ROAD CONGESTION PRICING
  name:
    name part: Graham, Don
    name part: (Data scientist)
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    place:
      place term: BOCA RATON
    publisher: CRC PRESS
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Road congestion imposes major financial, social, and environmental costs. One solution is the operation of high-occupancy toll (HOT) lanes. This book outlines a method for dynamic pricing for HOT lanes based on non-linear programming (NLP) techniques, finite difference stochastic approximation, genetic algorithms, and simulated annealing stochastic algorithms, working within a cell transmission framework. The result is a solution for optimal flow and optimal toll to minimize total travel time and reduce congestion. The book is ideal for transportation practitioners and researchers"--
  note: Don Graham is Data Scientist at CapGemini Consulting (North America). He served as data science professor at Northwestern University, and as atransportation professor at Florida Institute of Technology for over ten years, in addition to working in industry at Cap Gemini University, The Institute for Defense Analysis, Lockheed, and AVIS.
  subject:
    topic: Congestion pricing
    topic: Data processing
  subject:
    topic: Congestion pricing
    topic: Mathematical models
  subject:
    topic: Péages de congestion
    topic: Informatique
  subject:
    topic: Péages de congestion
    topic: Modèles mathématiques
  subject:
    topic: ARCHITECTURE / Urban & Land Use Planning
  subject:
    topic: Congestion pricing
    topic: Mathematical models
  classification: HE336.C66
  classification: 338.1/1
  identifier: 1003811809
  identifier: 9781003811800
  identifier: 9781003358701
  identifier: 1003358705
  identifier: 1003811825
  identifier: 9781003811824
  identifier: 9781003358701 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 231001
    record change date: 20241108165412.4
    record identifier: in00005519160
    language of cataloging:
      language term: eng