Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation

Conference · Sun Jul 01 00:00:00 EDT 2018

OSTI ID:1468137

Zhu, Lei ^[1]; Garikapati, Venu ^[1]; Chen, Yuche ^[2]; Hou, Yi ^[1]; Aziz, H M Abdul  ^[3]; Young, Stanley ^[1]

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1. National Renewable Energy Laboratory (NREL)
2. Vanderbilt University, Nashville
3. ORNL

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 AV 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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1468137
• Resource Relation: Conference: International Conference on Transportation and Development 2018 - Pittsburgh, Pennsylvania, United States of America - 7/15/2018 8:00:00 AM-7/18/2018 8:00:00 AM
• Country of Publication: United States
• Language: English