Estimating Changes in Parking Capacity and Urban Form from Vehicle Automation

The City of Pittsburgh and cities around the country have communicated a desire to convert a significant portion of their non-emergency vehicle fleet to electric vehicles, and needs to make decisions on where to charge and house a potential fleet of vehicles. At the same time, interest in privately-owned electric vehicles continues to grow. The decision of where to locate the charging infrastructure affects costs, availability and resiliency during an outage. The arrival of partially autonomous technology such as parking valet and other features enables another set of capabilities that the City should consider when planning new infrastructure. For this proposal, the research team will develop models that estimate the costs and benefits of locating electric vehicles in specific locations depending on specific levels of vehicle automation. The research team's work will have broad impacts in how cities plan for advanced mobility in the age of automation.

• Record URL:
  https://ppms.cit.cmu.edu/projects/detail/202

Language

• English

Project

• Status: Completed
• Funding: $100000
• Contract Numbers:

  69A3551747111

• Sponsor Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Carnegie Mellon University

  ,    
• Principal Investigators:

  Samaras, Costa

• Start Date: 20170901
• Expected Completion Date: 20201231
• Actual Completion Date: 20201221
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Automation; Autonomous vehicles; Benefit cost analysis; Built environment; City planning; Electric vehicle charging; Electric vehicles; Infrastructure; Mathematical models; Mobility; Parking; Vehicle fleets
• Geographic Terms: Pittsburgh (Pennsylvania)
• Subject Areas: Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment;

Filing Info

• Accession Number: 01710706
• Record Type: Research project
• Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
• Contract Numbers: 69A3551747111
• Files: UTC, RiP
• Created Date: Jul 11 2019 10:11AM