Infrastructure Adaptation Planning for Autonomous Vehicles

Autonomous vehicles (AVs) are expected to offer extraordinary improvements to both the safety and efficiency of existing roadways and mobility systems. Although it will be many years before a widespread adoption of the AV technology, recent developments suggest that they are on the horizon. Google’s AVs have driven more than 1,000,000 miles on public roads by June 2015. Many car manufactures, such as Volvo and Audi, are designing and testing the prototypes of their AVs. In the United States, Nevada, Florida, California, Michigan and Washington D.C. have legalized AVs for testing on their public roads. The development of the AV technology appears to be primarily driven by private sectors. However, it is critical for government agencies to change various policies and practices to adapt to and further promote the deployment of the technology. The project advocates the need for infrastructure adaptation planning for AVs. Before manual driving can be criminalized one day as some have predicted, the traffic stream on road networks will still be heterogeneous, with both conventional vehicles (CVs) and AVs. We envision that government agencies can initially identify critical locations to implement various AV mobility applications. For example, a “bottleneck manager” can be implemented at a recurrent freeway bottleneck. When approaching, AVs send requests via vehicle-to-infrastructure wireless commutations to the “bottleneck manager”, which will prioritize the requests and optimize their trajectories to ensure timely passage while preventing the bottleneck from being activated. To leverage the growing adoption of AVs, government agencies may later dedicate certain traffic lanes, highway segments or even areas of networks to AVs only to facilitate the formulation of vehicle platoons to further improve throughput. Subsequently implemented are innovative control strategies that aim to achieve system optimum in those areas. The dedicated AV areas will expand gradually as the level of market penetration of AVs increases, and eventually support a fully connected and automated mobility in the whole system. The proposed research is to develop methods for the above advocated infrastructure adaptation planning for AVs. A general mathematical framework will be proposed to aid government agencies to optimally identify critical locations to implement AV mobility applications, and designate and improve lanes, segments and areas for AVs only. We then extend the framework to optimize a roadmap for evolving highway infrastructures towards automated mobility.


  • English


  • Status: Completed
  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

    University of Florida
    365 Weil Hall
    Gainesville, FL  United States  32611
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    University of Florida, Gainesville

    152 Rhines Hall
    P.O. Box 116400
    Gainesville, FL  United States  32611
  • Principal Investigators:

    Yin, Yafeng

  • Start Date: 20160301
  • Expected Completion Date: 20161231
  • Actual Completion Date: 20161101
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01598779
  • Record Type: Research project
  • Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
  • Files: UTC, RiP
  • Created Date: May 2 2016 10:56AM