Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies

Xuesong Zhou, Shams Tanvir, Hao Lei, Jeffrey Taylor, Bin Liu, Nagui M. Rouphail, H. Christopher Frey

Research output: Contribution to journalArticle

47 Scopus citations

Abstract

This paper presents a computationally efficient and theoretically rigorous dynamic traffic assignment (DTA) model and its solution algorithm for a number of emerging emissions and fuel consumption related applications that require both effective microscopic and macroscopic traffic stream representations. The proposed model embeds a consistent cross-resolution traffic state representation based on Newell's simplified kinematic wave and linear car following models. Tightly coupled with a computationally efficient emission estimation package MOVES Lite, a mesoscopic simulation-based dynamic network loading framework DTALite is adapted to evaluate traffic dynamics and vehicle emission/fuel consumption impact of different traffic management strategies.

Original languageEnglish (US)
Pages (from-to)123-136
Number of pages14
JournalTransportation Research Part D: Transport and Environment
Volume37
DOIs
StatePublished - 2015

Keywords

  • Cross-resolution model
  • Dynamic traffic assignment
  • Emission estimation
  • Integrated traffic emission model

ASJC Scopus subject areas

  • Environmental Science(all)
  • Transportation

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