Automated Vehicles and Central Business District Parking: The Effects of Drop-Off Travel on Traffic Flow and Vehicle Emissions

The potential for automated vehicles to reduce parking in central cities has generated a lot of excitement among urban planners. Automated vehicles could drop-off passengers in areas where parking costs are high: personal automated vehicles could return home or park in less expensive locations and shared automated vehicles could serve other passengers. Reduced on-street parking and parking structures present numerous opportunities for redevelopment that could improve the livability of cities, for example, more street and sidewalk space for pedestrian and bicycle travel. However, almost no research has been conducted to examine the effect of high volumes of drop-off travel during peak periods on traffic flow, which could exacerbate congestion, vehicle miles traveled, and emissions, and undermine efforts to improve the environment for non-motorized travel. This project will use a microscopic road traffic model to simulate vehicle travel in San Francisco’s downtown central business district during the a.m. peak to explore traffic flow effects of automated vehicle scenarios in which the researchers vary (1) the demand for drop-off and pick-up travel versus parking, (2) the supply of on-street and off-street parking, and (3) the price of curbside drop-off/pick-up space.

Language

  • English

Project

  • Status: Active
  • Funding: $58355
  • Contract Numbers:

    Caltrans 65A0686 Task Order 014

  • Sponsor Organizations:

    California Department of Transportation

    1227 O Street
    Sacramento, CA  United States  95843

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 
  • Project Managers:

    Iacobucci, Lauren

  • Performing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    University of California, Davis

    Institute of Transportation Studies
    Davis, CA  United States  95616
  • Principal Investigators:

    Rodier, Caroline

    Zhang, Michael

    Jaller, Miguel

  • Start Date: 20181201
  • Expected Completion Date: 20191130
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01689732
  • Record Type: Research project
  • Source Agency: National Center for Sustainable Transportation
  • Contract Numbers: Caltrans 65A0686 Task Order 014
  • Files: UTC, RiP
  • Created Date: Dec 26 2018 8:25PM