Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications

Yi Wang, W. Y. Szeto, Ke Han, Terry L. Friesz

Research output: Contribution to journalReview article

35 Scopus citations

Abstract

The fact that road transportation negatively affects the quality of the environment and deteriorates its bearing capacity has drawn a wide range of concerns among researchers. In order to provide more realistic traffic data for estimations of environmental impacts, dynamic traffic assignment (DTA) models have been adopted in transportation planning and traffic management models concerning environmental sustainability. This review summarizes and examines the recent methodological advances of DTA models in environmentally sustainable road transportation applications including traffic signal control concerning vehicular emissions and emission pricing. A classification of emission estimation models and their integration with DTA models are accordingly reviewed as supplementary to the existing reviews. Finally, a variety of future research prospects of DTA for environmentally sustainable road transportation research are discussed. In particular, this review also points out that at present the research about DTA models in conjunction with noise predictive models is relatively deficient.

Original languageEnglish (US)
Pages (from-to)370-394
Number of pages25
JournalTransportation Research Part B: Methodological
Volume111
DOIs
StatePublished - May 2018

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Transportation

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