@misc{2d2e61427eaf446ead89abad77314b7c,
title = "Modeling and Simulation of Automated Mobility Districts",
abstract = "Connected and automated vehicles (CAVs) are increasingly being discussed as the basis for shared mobility and on-demand services to replace privately owned vehicles. The rapid growth of Transportation Networking Companies (TNCs) and their increasing investment in automated vehicle (AV) technologies attests to this. Combining the concepts of TNCs, with AVs and on-demand transit services, the term 'automated mobility district' (AMD) describes a district-scale implementation of CAV technology to realize the full benefits of a shared, fully automated vehicle service within a confined region. This research effort provides a modeling architecture for AMDs along with a preliminary analysis to quantify the mobility and energy benefits of such districts. A customized open-source microscopic mobility simulation toolkit built on the Simulation of Urban Mobility (SUMO) platform is implemented for AMD performance evaluation. Experimental scenarios are tested with different combinations of operational variables to provide insights on energy and mobility gains that can be realized in AMDs.",
keywords = "AES, Automated Electric Shuttles, automated mobility, mobility simulations",
author = "Venu Garikapati",
year = "2018",
language = "American English",
series = "Presented at the 2018 Vehicle Technologies Office (VTO) Annual Merit Review and Peer Evaluation, 18-22 June 2018, Washington, D.C.",
type = "Other",
}
