Real-Time Traffic Management to Maximize Throughput of Automated Vehicles

In intelligent transportation systems, most of the research work has focused on lane change assistant systems. No existing work considers minimizing the disruption of traffic flow by maximizing the number of lane changes while eliminating the collisions. In this thesis, the authors develop qualitative and quantitative approaches for minimizing the disruption of traffic flow for three lane scenarios and show that this approach can be extended to an arbitrary number of lanes. The proposed algorithm is able to achieve the maximum number of lane changes. Simulation results show that this approach provides much better performance when compared with different lane change algorithms without incurring large overhead, and is hence suitable for online use.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Utah State University, Logan

    Utah Transportation Center
    Logan, UT  United States  84321

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Chantem, Tam
    • Desiraju, Divya
  • Publication Date: 2015-3


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 31p

Subject/Index Terms

Filing Info

  • Accession Number: 01560894
  • Record Type: Publication
  • Report/Paper Numbers: MPC 15-283
  • Created Date: Apr 24 2015 10:23AM