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

Yi Hou, Stanley Young, Venu Garikapati, Lei Zhu, Yuche Chen

Research output: Contribution to conferencePaper

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
Original languageAmerican English
Number of pages14
StatePublished - 2018
EventITS World Congress 2017: Integrated Mobility Driving Smart Cities - Montreal, Quebec, Canada
Duration: 29 Oct 20172 Nov 2017

Conference

ConferenceITS World Congress 2017: Integrated Mobility Driving Smart Cities
CityMontreal, Quebec, Canada
Period29/10/172/11/17

NREL Publication Number

  • NREL/CP-5400-68290

Keywords

  • automated mobility district
  • connected and automated vehicle
  • energy impacts

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