Cooperative lane control application for fully connected and automated vehicles at multilane freeways

Journal Article · Sat Feb 01 00:00:00 UTC 2020 · Transportation Research Part C: Emerging Technologies

DOI: https://doi.org/10.1016/j.trc.2019.11.007 · OSTI ID:1659564

Khattak, Zulqarnain H. ^[1]; Smith, Brian L. ^[2]; Park, Hyungjun ^[3]; Fontaine, Michael D. ^[4]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. Univ. of Virginia, Charlottesville, VA (United States). Dept. of Engineering Systems and Environment
3. Federal Highway Administration, McLean, VA (United States)
4. Virginia Transportation Research Council, Charlottesville, VA (United States)

Advances in communications technology have made the development of connected and automated vehicle (CAV) applications that may potentially replace traditional, gantry operated lane control signals (LCSs) possible. Here, we develop the concept of a prototype CAV-enabled LCS application and provides a preliminary assessment of the potential improvement it offers over traditional LCS. Real-world data obtained from an LCS on I-66 in Northern Virginia was used to calibrate and validate a baseline simulation model. Further, the current lane control scenarios utilized in the Northern Virginia LCS were identified and relevant data resulting from implementation of those scenarios were collected to model the LCS in a simulation environment. The performance of real-world LCS was then compared to a prototype CAV-enabled LCS application developed in this research. 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 scenarios under the best case of a 1 sec headway. Furthermore, the CAV-enabled LCS application was also found to reduce volatility, represented by variation in acceleration and deceleration regimes, by an average of 25.6% and 49.6%. The reduction in turbulence in the traffic stream may indicate potential improved safety with the CAV system.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOT; VADOT
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1659564
• Journal Information: Transportation Research Part C: Emerging Technologies, Journal Name: Transportation Research Part C: Emerging Technologies Vol. 111; ISSN 0968-090X
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English