An Intelligent Speed Guidance for the CAVs at Signalized Intersection under New Generation of Mixed Traffic Based on Improved Trigonometric Functions

For the new generation of mixed traffic signal intersections composed of connected automated vehicles (CAVs) and human-driven vehicles (HDVs), an improved CAVs speed guidance strategy based on Cooperative Vehicle Infrastructure System (CVIS) is proposed. First, three guidance zones are set based on vehicle operating characteristics at signal intersections. Meanwhile, preconditions and safety constraints are set for a lane change. Then, the following model is set to three scenarios according to whether the CAV is a leader and whether the leading vehicle is stationary. Next, the kinematic formula and the improved trigonometric functions are combined to complete speed guidance. Finally, the simulation is carried out based on SUMO with the CAV’s speed and no-speed guidance for different CAV penetration rates of the CAVs. The results show that the proposed speed guidance can shorten vehicles’ duration by 9.3% and reduce the waiting count by 84% under high CAV MPRs.

• Record URL:
  • https://doi.org/10.1061/9780784484869.165
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484869
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ma, Shiwei
  • E, Wenjuan
  • Wang, Xiang
  • Lu, Weike
  • Wan, Qixing
  • Yang, Na
• Conference:
  • 23rd COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2023-7-14 to 2023-7-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1737-1748
• Monograph Title: CICTP 2023: Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation

Subject/Index Terms

• TRT Terms: Automatic speed control; Autonomous vehicles; Connected vehicles; Lane changing; Signalized intersections; Vehicle mix
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01906171
• Record Type: Publication
• ISBN: 9780784484869
• Files: TRIS, ASCE
• Created Date: Jan 29 2024 9:15AM