Cooperative Control for Lane Change Maneuvers with Connected Automated Vehicles: A Field Experiment
Connected automation systems coordinate vehicle communications and automated vehicle control to improve transportation system mobility, safety, and sustainability. While most research of field experiments to date has focused on automated vehicle control in simple highway driving scenarios, such as Cooperative Adaptive Cruise Control (CACC), real-world deployment of CACC and related traffic management technologies will require automation of all traffic movements, including lane change and merge maneuvers, to fully realize potential system benefits. This paper describes an effort in developing an innovative vehicle control platform and algorithm to successfully conduct a field experiment of a cooperative lane change maneuver, executed using automated speed control, vehicle-to-vehicle (V2V) communications, and vehicle-based radar systems. Experimental results demonstrate the effectiveness of the proposed platform and algorithm, and also raise research questions to be addressed in the future.
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Raboy, Kelli
- Ma, Jiaqi
- 0000-0002-8184-5157
- Stark, John
- 0000-0002-1558-4630
- Zhou, Fang
- Rush, Kyle
- Leslie, Ed
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References;
- Pagination: 21p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Algorithms; Automated vehicle control; Automatic speed control; Field tests; Intelligent vehicles; Lane changing; Mobile communication systems
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01628785
- Record Type: Publication
- Report/Paper Numbers: 17-05142
- Files: TRIS, TRB, ATRI
- Created Date: Mar 13 2017 9:12AM