@misc{1ae05e34f0db48859624d400efdbb1ae,
title = "Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation",
abstract = "This poster highlights a study quantifying the mobility and energy benefits of automated mobility districts (AMDs), with a focus on the district-scale implementation of advanced vehicle (AV) technologies, the benefits of an AV-shared-mobility service within a confined geographic region or district, and AMD models serving as 'special generators' in existing urban travel demand models. Through the study, leaders developed an AMD modeling and simulation toolkit.",
keywords = "advanced vehicle, AMD, automated mobility districts, AV, energy benefits, energy impacts, mobility, modeling, TDM, traffic simulation, travel demand model",
author = "Lei Zhu and Venu Garikapati and Yi Hou and Stanley Young and Yuche Chen and \{Abdul Aziz\}, \{H. M.\}",
year = "2018",
language = "American English",
series = "Presented at the International Conference on Transportation and Development, 15-18 July 2018, Pittsburgh, Pennsylvania",
publisher = "National Laboratory of the Rockies (NLR)",
address = "United States",
type = "Other",
}