Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication
Traffic jams often occur without any obvious reasons such as traffic accidents, roadwork, or closed lanes. Under moderate to high traffic density, minor perturbations to traffic flow (e.g., a strong braking motion) are easily amplified into a wave of stop-and-go traffic. This is known as a phantom jam. In this paper, the authors aim to mitigate phantom jams leveraging the three-phase traffic theory and vehicle-to-vehicle (V2V) communication. More specifically, an efficient phantom jam control protocol is proposed in which a fuzzy inference system is integrated with a V2V-based phantom jam detection algorithm to effectively capture the dynamics of traffic jams. Per-lane speed difference under traffic congestion is taken into account in the protocol design, so that a phantom jam is controlled separately for each lane, improving the performance of the proposed protocol. The authors implemented the protocol in the Jist/SWAN traffic simulator. Simulations with artificially generated traffic data and real-world traffic data collected from vehicle loop detectors on Interstate 880, California, USA, demonstrate that the authors' approach has by up to 9% and 4.9% smaller average travel times (at penetration rates of 10%) compared with a state-of-the-art approach, respectively.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Authors:
- Won, Myounggyu
- Park, Taejoon
- Son, Sang H
- Publication Date: 2017-5
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 1313-1324
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 18
- Issue Number: 5
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Driver support systems; Fuzzy systems; Intelligent transportation systems; Traffic congestion; Traffic flow theory; Traffic simulation; Vehicle to vehicle communications; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01637106
- Record Type: Publication
- Files: TLIB, TRIS
- Created Date: May 4 2017 2:42PM