Understanding Risks and Opportunities for Ramp Metering Control in a Mixed-Autonomy Future

Details

• Creators:
  Stern, Raphael ; Zare, Arian
• Corporate Creators:
  University of Minnesota, Twin Cities. Department of Civil, Environmental, and Geo- Engineering
• Corporate Contributors:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Subject/TRT Terms:
  • Connected vehicles
  • Driving automation levels
  • Highway traffic control systems
  • Intelligent vehicles
  • Ramp metering
  • Vehicle mix
• Publication/ Report Number:
  MN 2025-31
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Minnesota
• Edition:
  Final report 2022-2025
• Corporate Publisher:
  Minnesota. Department of Transportation
• Abstract:
  Vehicle automation may change traffic flow dynamics. This will also impact the control of traffic flow via infrastructure-based systems such as ramp metering control. In this work the authors investigated the impact that different levels of automation and connectivity will have on ramp metering control, and proposed modifications to existing ramp metering algorithms to improve their performance under different automation scenarios. They find that low-level automation such as adaptive cruise control may decrease mainline throughput by up to 58% on average and increase travel time by 61%. However, full connectivity and automation may decrease travel time by up to 40%. Based on these potential impacts, modifications to the ramp metering algorithm settings were developed for each of the seven automation scenarios. These modifications are shown to improve operations in each scenario.
• Format:
  PDF
• Funding:
  1036342 WO#57
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/87598/dot_87598_DS1.pdf
• File Type:
  [PDF - 3.70 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:ca8797c722a8f7cbb8dc1eb0c8b087a89b7b75f0c32a39e56ac05d23a92a13a7763108cffb361f67498680059888bd2af5b6fa2c99f9328aa0105aab6b887bd1