Evaluation of Managed Lane Facilities in a Connected Vehicle Environment

On freeways, managed lanes (MLs) have emerged as an effective dynamic traffic management strategy. They are vital for managing time and congestion through tolling while also providing drivers with more choices. They play an important role in improving traffic mobility, efficiency, and safety, in addition to generating revenue for transportation agencies. Managed lanes are designated lanes where the flow of traffic is managed by limiting vehicle eligibility (e.g., high occupancy vehicle [HOV] lanes, truck only [TO] lanes); restricting facility access (e.g., reversible lanes [RLs], express lanes [ELs]); employing fixed or dynamic price tolls (e.g., toll ways, express toll lanes [ETLs]); setting pricing and vehicle eligibility (e.g., high-occupancy toll [HOT] lanes, truck only toll [TOT] lanes); or setting vehicle eligibility and access control (e.g., bus rapid transit [BRT] lanes, dedicated truck lanes, transit ways). This research also proposes a new designation for designated connected vehicle (CV) lanes. The main objective of this study was to investigate the effect of different CV lane configurations and various market penetration rates on the safety and operation of the MLs network. Additionally, work will be done for studying the lower levels of automated vehicles (Level 1/Level 2) in a CV environment in the MLs network and determining the optimal market penetration rates of automated vehicle in the network under CV environment. This ongoing project is composed of four sections. Chapter 2 provides a brief review of previous studies of MLs, studies related to microsimulation and analyzing traffic conflicts, and studies related to connected and automated vehicles. Chapter 3 describes the microsimulation process for the studied corridor, which mainly included network building, calibration and validation, and CV scenario design. It also presents results and findings. Chapter 4 provides a description of the impact of dedicated lanes for CV platooning on expressways.

• Dataset URL:
  https://doi.org/10.7910/DVN/8QHMOF
• Record URL:
  http://safersim.nads-sc.uiowa.edu/final_reports/UCF%203%20Y2%20report.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/43803
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/43805
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting datasets available at: https://doi.org/10.7910/DVN/8QHMOF; https://rosap.ntl.bts.gov/view/dot/43805
• Corporate Authors:

  University of Central Florida, Orlando

  Department of Civil, Environmental and Construction Engineering
  Orlando, FL  United States  32816

  Safety Research Using Simulation University Transportation Center (SaferSim)

  University of Iowa
  Iowa City, IA  United States  52242

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Abdel-Aty, Mohamed
  • 0000-0002-4838-1573
  • Wu, Yina
  • 0000-0001-6516-8144
  • Saad, Moatz
  • 0000-0003-1760-5711
  • Rahman, Md Sharikur
  • 0000-0001-7623-5437
• Publication Date: 2019-8

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; Photos; References; Tables;
• Pagination: 104p

Subject/Index Terms

• TRT Terms: Calibration; Connected vehicles; Driving automation levels; Evaluation and assessment; Forecasting; Highway design; Highway safety; Managed lanes; Market penetration; Microsimulation; Optimization; Traffic platooning; Validation
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01717787
• Record Type: Publication
• Contract Numbers: 69A3551747131
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Sep 24 2019 2:49PM