Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication
- Title
- Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication
- Author
- 박태준
- Keywords
- Intelligent transportation systems; phantom jams; three-phase traffic theory; traffic jams; vehicle-to-vehicle (V2V) communication; IMPACT; 3-PHASE TRAFFIC THEORY; ADAPTIVE CRUISE CONTROL; SIGNAL CONTROL; CONGESTION; FLOW; MODEL; SIMULATION; TUNNEL
- Issue Date
- 2017-05
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v. 18, No. 5, Page. 1313-1324
- Abstract
- 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, we 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. We 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 our 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.
- URI
- https://ieeexplore.ieee.org/abstract/document/7575733/https://repository.hanyang.ac.kr/handle/20.500.11754/72257
- ISSN
- 1558-0016; 1524-9050
- DOI
- 10.1109/TITS.2016.2605925
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML