Eco-Driving Systems for Connected Automated Vehicles: Multi-Objective Trajectory Optimization

This study aims to leverage advances in connected automated vehicle (CAV) technology to design an eco-driving and platooning system that can improve the fuel and operational efficiency of vehicles during freeway driving. Following a two-stage control logic, the proposed algorithm optimizes CAVs’ trajectories with three objectives: travel time minimization, fuel consumption minimization, and traffic safety improvement. The first stage, designed for CAV trajectory planning, is carried out with two optimization models. The second stage, for real-time control purposes, is developed to ensure the operational safety of CAVs. Based on extensive numerical simulations, the results have confirmed the effectiveness of the proposed framework both in mitigating freeway congestion and in reducing vehicles’ fuel consumption.

• Record URL:
  https://doi.org/10.31979/mti.2020.1924
• Record URL:
  https://merritt.cdlib.org/api/presign-file/ark%253A%252F13030%252Fm5c01jmv/1/producer%252FCA-MTI-1924.pdf
• Corporate Authors:

  Mineta Transportation Institute

  College of Business
  San José State University
  San Jose, CA  United States  95192-0219

  State of California SB1 2017/2018

  Trustees of the California State University. Sponsored Programs Administration
  401 Golden Shore, 5th Floor
  Long Beach, CA  United States  90802

  California State University Transportation Consortium

  San José State University
  San Jose, CA  United States 

  San Diego State University

  San Diego, CA  United States 
• Authors:
  • Huang, Ke
  • 0000-0002-1587-9877
  • Yang, Xianfeng
  • 0000-0002-9416-6882
• Publication Date: 2020-8

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Bibliography; Figures; Tables;
• Pagination: 28p

Subject/Index Terms

• TRT Terms: Automated vehicle control; Connected vehicles; Ecodriving; Fuel consumption; Intelligent vehicles; Simulation; System architecture; Traffic platooning; Trajectory control
• Subject Areas: Energy; Environment; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01752850
• Record Type: Publication
• Report/Paper Numbers: 20-33, CA-MTI-1924
• Contract Numbers: ZSB12017-SJAUX
• Files: BTRIS, TRIS
• Created Date: Sep 24 2020 6:24PM