DocumentCode
2600676
Title
Integration of MOVES and dynamic traffic assignment models for fine-grained transportation and air quality analyses
Author
Lin, Jane ; Chiu, Yi-Chang ; Vallamsundar, Suriya ; Bai, Song
Author_Institution
Univ. of Illinois at Chicago, Chicago, IL, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
176
Lastpage
181
Abstract
This paper presents and demonstrates, through a case study, an integrated modeling framework of U.S. Environmental Protection Agency´s new mobile emission model MOVES (Motor Vehicle Emission Simulator) and a simulation-based dynamic traffic assignment (SBDTA) model for project-level emissions analyses. Specifically, this research focuses on the methodology and integration process that automates the extraction and conversion of traffic activity data to MOVES´ required inputs. The emissions differences between using MOVES default drive schedule and using local specific operating mode distribution inputs are also explored. The integration approach is useful to support transportation conformity analyses required by law in the United States.
Keywords
air pollution; environmental factors; traffic engineering computing; transportation; MOVES default drive schedule; U.S. environmental protection agency; air quality analysis; dynamic traffic assignment model; fine grained transportation; mobile emission model; motor vehicle emission simulator; project level emission analysis; simulation based dynamic traffic assignment model; traffic activity; Analytical models; Data models; Drives; Estimation; Schedules; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated and Sustainable Transportation System (FISTS), 2011 IEEE Forum on
Conference_Location
Vienna
Print_ISBN
978-1-4577-0990-6
Electronic_ISBN
978-1-4577-0991-3
Type
conf
DOI
10.1109/FISTS.2011.5973657
Filename
5973657
Link To Document