Impact of Privately-Owned Level 4 CAV Technologies on Travel Demand and Energy. Auld, J., Verbas, O., Javanmardi, M., & Rousseau, A. Procedia Computer Science, 130:914–919, January, 2018.
Paper doi abstract bibtex This study analyzes the mobility and energy impact of CAV technologies. Under different VOT, WTP and market penetration scenarios, changes in mobility in terms of VMT and average travel time, as well as changes in energy consumption are estimated. The state-of-the-art integrated activity-based modeling (ABM) and traffic simulation software POLARIS is used to model the mobility impact. Moreover, POLARIS is coupled with AUTONOMIE to analyze the resulting fuel consumption.
@article{auld_impact_2018,
series = {The 9th {International} {Conference} on {Ambient} {Systems}, {Networks} and {Technologies} ({ANT} 2018) / {The} 8th {International} {Conference} on {Sustainable} {Energy} {Information} {Technology} ({SEIT}-2018) / {Affiliated} {Workshops}},
title = {Impact of {Privately}-{Owned} {Level} 4 {CAV} {Technologies} on {Travel} {Demand} and {Energy}},
volume = {130},
issn = {1877-0509},
url = {https://anl.box.com/s/4lv1arlllc7xybwo5igai94q6t84knfb},
doi = {10.1016/j.procs.2018.04.089},
abstract = {This study analyzes the mobility and energy impact of CAV technologies. Under different VOT, WTP and market penetration scenarios, changes in mobility in terms of VMT and average travel time, as well as changes in energy consumption are estimated. The state-of-the-art integrated activity-based modeling (ABM) and traffic simulation software POLARIS is used to model the mobility impact. Moreover, POLARIS is coupled with AUTONOMIE to analyze the resulting fuel consumption.},
urldate = {2019-07-24},
journal = {Procedia Computer Science},
author = {Auld, Joshua and Verbas, Omer and Javanmardi, Mahmoud and Rousseau, Aymeric},
month = jan,
year = {2018},
keywords = {POLARIS},
pages = {914--919},
}
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