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Title: Initial Assessment and Modeling Framework Development for Automated Mobility Districts: Preprint

Abstract

Automated vehicles (AVs) are increasingly being discussed as the basis for on-demand mobility services, introducing a new paradigm in which a fleet of AVs displaces private automobiles for day-to-day travel in dense activity districts. This paper examines a concept to displace privately owned automobiles within a region containing dense activity generators (jobs, retail, entertainment, etc.), referred to as an automated mobility district (AMD). This paper reviews several such districts, including airports, college campuses, business parks, downtown urban cores, and military bases, with examples of previous attempts to meet the mobility needs apart from private automobiles, some with automated technology and others with more traditional transit-based solutions. The issues and benefits of AMDs are framed within the perspective of intra-district, inter-district, and border issues, and the requirements for a modeling framework are identified to adequately reflect the breadth of mobility, energy, and emissions impact anticipated with AMDs

Authors:
 [1];  [1]; ORCiD logo [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
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:
1420369
Report Number(s):
NREL/CP-5400-68290
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the ITS World Congress 2017: Integrated Mobility Driving Smart Cities, 29 October - 2 November 2017, Montreal, Quebec, Canada
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; automated mobility district; connected and automated vehicle; energy impacts

Citation Formats

Hou, Yi, Young, Stanley E, Garikapati, Venu, Chen, Yuche, and Zhu, Lei. Initial Assessment and Modeling Framework Development for Automated Mobility Districts: Preprint. United States: N. p., 2018. Web.
Hou, Yi, Young, Stanley E, Garikapati, Venu, Chen, Yuche, & Zhu, Lei. Initial Assessment and Modeling Framework Development for Automated Mobility Districts: Preprint. United States.
Hou, Yi, Young, Stanley E, Garikapati, Venu, Chen, Yuche, and Zhu, Lei. Wed . "Initial Assessment and Modeling Framework Development for Automated Mobility Districts: Preprint". United States. doi:. https://www.osti.gov/servlets/purl/1420369.
@article{osti_1420369,
title = {Initial Assessment and Modeling Framework Development for Automated Mobility Districts: Preprint},
author = {Hou, Yi and Young, Stanley E and Garikapati, Venu and Chen, Yuche and Zhu, Lei},
abstractNote = {Automated vehicles (AVs) are increasingly being discussed as the basis for on-demand mobility services, introducing a new paradigm in which a fleet of AVs displaces private automobiles for day-to-day travel in dense activity districts. This paper examines a concept to displace privately owned automobiles within a region containing dense activity generators (jobs, retail, entertainment, etc.), referred to as an automated mobility district (AMD). This paper reviews several such districts, including airports, college campuses, business parks, downtown urban cores, and military bases, with examples of previous attempts to meet the mobility needs apart from private automobiles, some with automated technology and others with more traditional transit-based solutions. The issues and benefits of AMDs are framed within the perspective of intra-district, inter-district, and border issues, and the requirements for a modeling framework are identified to adequately reflect the breadth of mobility, energy, and emissions impact anticipated with AMDs},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 07 00:00:00 EST 2018},
month = {Wed Feb 07 00:00:00 EST 2018}
}

Conference:
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