Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 4 - Dynamic Lane Assignment

Cooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing vehicles and infrastructure to work together to coordinate movement. The objective of this project is to advance the CARMA℠ ecosystem to enable further capabilities for CDA participants to interact with the road infrastructure, to enhance infrastructure performance, to improve network efficiency, and ultimately to reduce traffic congestion through transportation systems management and operations (TSMO) strategies on arterials. The focus of this concept of operations is TSMO Use Case 4 (UC4), or Dynamic Lane Assignment, which investigates active traffic management applied to traffic signal corridors. The proposed approach for TSMO UC4 has three main components: a signal and lane optimization (designed for roadside equipment [RSE]); a critical time step estimation (designed for RSE or CARMA Platform℠); and a trajectory smoothing for cooperative automated driving system (C–ADS)-equipped vehicles (designed for CARMA Platform) with the available vehicles’ real-time information. Researchers expect the proposed control framework to increase throughput and reduce energy consumption while ensuring safety at signalized intersections by simultaneously optimizing the signal and lane settings.

• Record URL:
  https://www.fhwa.dot.gov/publications/research/operations/21068/21068.pdf
• Summary URL:
  https://www.fhwa.dot.gov/publications/research/operations/21068/index.cfm
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/58024
• Corporate Authors:

  Leidos, Incorporated

  Reston, VA  United States 

  University of South Florida, Tampa

  Tampa, FL  United States  33612-9446

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  Federal Highway Administration

  Research, Development and Technology
  6300 Georgetown Pike
  McLean, VA  United States  22101
• Authors:
  • Soleimaniamiri, Saeid
  • 0000-0002-0139-8319
  • Li, Xiaopeng (Shaw)
  • 0000-0002-5264-3775
  • Yao, Handong
  • 0000-0002-2778-084X
  • Ghiasi, Amir
  • 0000-0002-0986-9840
  • Vadakpat, Govindarajan
  • 0000-0001-9060-3216
  • Bujanovic, Pavle
  • 0000-0001-6589-3207
  • Lochrane, Taylor
  • 0000-0002-1933-6554
  • Stark, John
  • 0000-0002-1558-4630
  • Hale, David
  • 0000-0001-5486-9367
  • Racha, Sujith
  • 0000-0002-5217-0779
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References; Tables;
• Pagination: 73p

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Dynamic traffic assignment; Traffic signal timing; Trajectory control; Transportation system management
• Identifier Terms: CARMA
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01784399
• Record Type: Publication
• Report/Paper Numbers: FHWA-HRT-21-068
• Contract Numbers: DTFH6116D00030L (TO 19-360)
• Files: NTL, TRIS, ATRI, USDOT
• Created Date: Oct 7 2021 4:58PM