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: Optimization methodology for the calibration of transportation network micro-simulation models
  name:
    name part: Kim, Kyu-Ok.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xvii, 270 leaves : illustrations ; 28 cm.
  abstract: Traffic micro-simulation models have been used extensively because of their ability to model the dynamic and stochastic nature of transportation systems. The proper selection of the input parameters is critical if the model is to replicate accurately the supply characteristics, demand characteristics, and their interaction. While the use of traffic micro-simulation models has become widespread, there has been little research on the methodology for calibrating the parameter set. The main reasons for this are a paucity of available data, the cost of data collection, and a lack of systematic calibration methodology. An automatic calibration methodology for micro-simulation models was developed in order to select the "best" parameter set based on observed intelligent transportation system (ITS) data. TRANSIMS and CORSIM models were employed because they both capture the detail of individual vehicles but are based on different traffic flow theories, namely cellular automata and car-following theories, respectively. The methodology was applied to two components of the transportation system, namely a limited-access highway and a signalized diamond interchange. Three highway corridors were used as test beds: Interstate 10 and US 290 in Houston, Texas, and Interstate I-37, in San Antonio, Texas. In addition, a diamond interchange in College Station, Texas, was used. A genetic algorithm and a sequential simplex algorithm were examined for use in the optimization component. They were successful in that both identified similar parameter sets. Three origin-destination (OD) matrices were evaluated as input parameters in the calibration process and the OD information was found to have a profound effect on the simulation results. A bi-level programming technique was applied in order to calibrate the parameter set and OD matrix simultaneously. A sensitivity analysis was performed on the parameters of traffic micro-simulations, the test beds, traffic congestion levels, OD estimates, …
  note: by Kyu-Ok Kim.
  note: Vita.
  note: "Major Subject: Civil Engineering".
  note: Issued also on microfiche from University Microfilm Inc.
  note: Ph. D. Texas A&M University 2002.
  note: Includes bibliographical references (leaves 236-247).
  subject:
    topic: Major civil engineering
  identifier: 30-49962 UMI
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 030228
    record change date: 20190325103353.0
    record identifier: in00001734641