Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication
| Autor: | Taejoon Park, Myounggyu Won, Sang H. Son |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
Engineering Vehicular communication systems Traffic congestion reconstruction with Kerner's three-phase theory business.industry Mechanical Engineering 05 social sciences Traffic simulation 020302 automobile design & engineering 02 engineering and technology Traffic flow Imaging phantom Computer Science Applications 0203 mechanical engineering Traffic congestion 0502 economics and business Automotive Engineering Three-phase traffic theory business Intelligent transportation system Simulation |
| Zdroj: | IEEE Transactions on Intelligent Transportation Systems. 18:1313-1324 |
| ISSN: | 1558-0016 1524-9050 |
| DOI: | 10.1109/tits.2016.2605925 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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