DocumentCode
2600415
Title
Challenges to evaluation of CO2 impacts of intelligent transportation systems
Author
Shladover, Steven E.
Author_Institution
California PATH Program, Univ. of California, Berkeley, Richmond, CA, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
189
Lastpage
194
Abstract
ITS systems can help reduce CO2 emissions in three different ways, which need to be evaluated using different modeling paradigms. The ITS systems that reduce demand for vehicle travel should be analyzed using regional transportation planning models that explicitly represent modal choice and pricing sensitivity of travel choices. The ITS systems that improve vehicle operating efficiency should be evaluated using microscopic models of the effects on individual vehicles, and the results should be extrapolated to the system level based on travel statistics. ITS systems that improve infrastructure efficiency will generally require use of microscopic traffic simulation models, combined with new data representing how driver behavior is influenced by these systems in practice. Finally, concerns about latent and induced demand effects of transportation improvements need to be addressed with new research that reveals the real elasticities of travel demand.
Keywords
air pollution; automated highways; traffic engineering computing; CO2 emission reduction; CO2 impacts; intelligent transportation systems; microscopic models; microscopic traffic simulation models; pricing sensitivity; regional transportation planning models; vehicle operating efficiency; vehicle travel; Biological system modeling; Driver circuits; Predictive models; Road transportation; Traffic control; 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.2011.5973642
Filename
5973642
Link To Document