Development and Evaluation of Collaborative Ramp Metering Control for Congested Urban Freeways

Advanced Driver Assistance Systems (ADAS) and autonomous vehicles allow new control paradigms in traffic management. As the time horizon for driverless cars technology shifted forward in the future, collaborative driving and communication open new possibilities in the next 5-10y to realize control policies aimed at increasing safety, reducing congestion, and dissipate waves. Collaborative driving results are available for vehicle-level controls and mostly focused on architecture and human-in-the-loop approaches. The research team aims at a macroscopic and network-level approach to exploit the potential impact of collaborative driving. The project will propose model and computational tools for collaborative driving at a macroscopic and network-level to exploit its potential for reduction of energy consumption and congestion.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01768983
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: USDOT 69A3551747124
  • Files: UTC, RIP
  • Created Date: Apr 1 2021 1:19PM