Vehicle Trajectory Data in Eco-Friendly Cooperative Traffic Optimization (EcoTOp) System at Signalized Intersections [supporting dataset]

Surface transportation systems (e.g., arterial roadways with signalized intersections) are inherently inefficient, particularly at higher traffic volumes. In general, both the infrastructure (e.g., traffic signals) and the vehicles operate independently, with little coordination between them. Previous research has shown that implementing strategies that take advantage of infrastructure-to-vehicle communication can improve overall mobility and reduce environmental impacts, e.g., the Eco-Approach and Departure (EAD) application that takes advantage of communicating signal phase and timing information to the vehicles. In this research, the authors will build upon this past research to develop a new cooperative traffic operation approach that takes advantage of not only infrastructure-to-vehicle communications, but also vehicle-to-infrastructure communications. This effort integrates a dynamic traffic signalization algorithm together with EAD algorithm to achieve even greater traffic efficiency. The research was carried out in a high-fidelity simulation environment and shows upwards of 15% fuel savings and 85% reductions in waiting time. The dataset contain the vehicle trajectory of all Connected and Automated Vehicles (CAVs) and non-CAVs in the SUMO-based traffic simulation from all approaches, with vary penetration rate at 0% (baseline), 20%, 50%, 80% and 100%.

• Record URL:
  https://doi.org/10.7922/G26Q1VJ9
• Dataset URL:
  https://doi.org/10.6086/D1367Q
• Record URL:
  https://escholarship.org/uc/item/4nd624jd
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/70493
• Supplemental Notes:
  • The dataset supports report: Eco-friendly Cooperative Traffic Optimization at Signalized Intersections, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of California, Riverside

  College of Engineering, Center for Environmental Research and Technology
  1084 Columbia Avenue
  Riverside, CA  United States  92507

  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
• Authors:
  • Hao, Peng
  • 0000-0001-5864-7358
  • Oswald, David
  • 0000-0003-2307-1437
  • Barth, Matthew
  • 0000-0002-4735-5859
  • Wu, Guoyuan
  • 0000-0001-6707-6366
• Publication Date: 2023-3-1

Language

• English

Media Info

• Media Type: Dataset
• Dataset publisher:

  Dryad

  ,    

Subject/Index Terms

• TRT Terms: Data; Mobile communication systems; Signalization; Traffic simulation; Vehicle trajectories
• Identifier Terms: SUMO (Traffic simulation model)
• Subject Areas: Data and Information Technology; Environment; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01875936
• Record Type: Publication
• Contract Numbers: 69A3551747114
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Mar 21 2023 9:14AM