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Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication

Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication
Won, MyounggyuPark, TaejoonSon, Sang H.
DGIST Authors
Son, Sang H.
Issue Date
IEEE Transactions on Intelligent Transportation Systems, 18(5), 1313-1324
Article Type
3 Phase Traffic TheoryAdaptive Cruise ControlCongestionDetection AlgorithmFlowFuzzy InferenceFuzzy Inference SystemsImpactInference EnginesIntelligent SystemsIntelligent Transportation Systems (ITS)Mobile Telecommunication SystemsModelMotor TransportationPhantom JamsSignal ControlSimulationState of the Art ApproachStop and Go TrafficStreet Traffic ControlSystemsTerms Intelligent Transportation SystemsThree Phase Traffic TheoriesThree Phase Traffic TheoryTraffic CongestionTraffic ControlTraffic JamsTraffic JamsTransportationTravel TimeTunnelVehicle to Vehicle (V2V) CommunicationVehicle Actuated SignalsVehicle to Vehicle (V2V) CommunicationsVehicles
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. © 2017 IEEE.
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems) Lab
  • Research Interests Real-time system; Wireless sensor network; Cyber-physical system; Data and event service; Information security; 실시간 임베디드 시스템
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Department of Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab1. Journal Articles

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