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

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 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.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [3]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Vanderbilt University
  3. Oak Ridge National Laboratory
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1466551
Report Number(s):
NREL/CP-5400-70935
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, 15-18 July 2018, Pittsburgh, Pennsylvania
Country of Publication:
United States
Language:
English
Subject:
30 DIRECT ENERGY CONVERSION; connected and automated vehicles; CAVs; shared mobility; automated mobility district; AMD; simulation of urban mobility; transportation networking companies; FASTSim; automated electric shuttle

Citation Formats

Zhu, Lei, Garikapati, Venu, Hou, Yi, Young, Stanley E, Chen, Yuche, and Abdul Aziz, H. M. Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation. United States: N. p., 2018. Web. doi:10.1061/9780784481530.010.
Zhu, Lei, Garikapati, Venu, Hou, Yi, Young, Stanley E, Chen, Yuche, & Abdul Aziz, H. M. Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation. United States. doi:10.1061/9780784481530.010.
Zhu, Lei, Garikapati, Venu, Hou, Yi, Young, Stanley E, Chen, Yuche, and Abdul Aziz, H. M. Wed . "Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation". United States. doi:10.1061/9780784481530.010.
@article{osti_1466551,
title = {Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation},
author = {Zhu, Lei and Garikapati, Venu and Hou, Yi and Young, Stanley E and Chen, Yuche and Abdul Aziz, H. M.},
abstractNote = {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.},
doi = {10.1061/9780784481530.010},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {7}
}

Conference:
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