Cooperative Lane Control Application for Connected and Automated Vehicles

Advances in communications technology has made possible the development of connected and automated vehicle (CAV) applications that may potentially replace traditional, gantry operated lane control states (LCS). This paper develops the concept of a prototype CAV enabled lane control (LCS) application and provides a preliminary assessment of the potential improvement it offers over traditional LCS. Real-world data obtained from existing LCS site on I-66 in Northern Virginia was used to calibrate and validate a baseline simulation model. Further, lane control strategies displayed under the operation of real-world LCS were selected and relevant data for such strategies were collected to model the LCS in simulation environment. The real-world LCS was later compared to the CAV enabled LCS application, developed in this paper under similar conditions observed at the real-world site. The CAV enabled LCS application consistently outperformed the traditional LCS with increased throughput and speeds. On average, an increase of 18.4%, 9.6% and 12.8% in throughput was observed for three selected strategies under the best case of 1 sec headway. Furthermore, CAV enabled LCS application was also found to reduce volatility, shown through variation in acceleration and deacceleration regimes by an average of 25.6% and 49.6%. Thus, providing fluent flow of traffic with lower jerks and pointing towards improved safety.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Khattak, Zulqarnain H
    • Smith, Brian L
    • Park, Hyungjun
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 7p

Subject/Index Terms

Filing Info

  • Accession Number: 01698366
  • Record Type: Publication
  • Report/Paper Numbers: 19-04754
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:53AM