Modeling the effects of congestion on fuel economy for advanced power train vehicles

Citation data:

Transportation Planning and Technology, ISSN: 1029-0354, Vol: 38, Issue: 2, Page: 149-161

Publication Year:
2015
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Repository URL:
https://pdxscholar.library.pdx.edu/cengin_fac/182; https://works.bepress.com/kelly_clifton/3
DOI:
10.1080/03081060.2014.997449
Author(s):
Bigazzi, Alexander Y.; Clifton, Kelly J.
Publisher(s):
Informa UK Limited
Tags:
Social Sciences; Automobiles; Automotive fuel consumption; Power trains; Internal combustion engines; Electric vehicles; Traffic congestion; Civil and Environmental Engineering
article description
Fuel-speed curves (FSC) are used to account for the aggregate effects of congestion on fuel consumption in transportation scenario analysis. This paper presents plausible FSC for conventional internal combustion engine (ICE) vehicles and for advanced vehicles such as hybrid electric vehicles, fully electric vehicles (EVs), and fuel cell vehicles (FCVs) using a fuel consumption model with transient driving schedules and a set of 145 hypothetical vehicles. The FSC shapes show that advanced power train vehicles are expected to maintain fuel economy (FE) in congestion better than ICE vehicles, and FE can even improve for EV and FCV in freeway congestion. In order to implement these FSC for long-range scenario modeling, a bounded approach is presented which uses a single congestion sensitivity parameter. The results in this paper will assist analysis of the roles that vehicle technology and congestion mitigation can play in reducing fuel consumption and greenhouse gas emissions from motor vehicles.