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 :
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