Cited 6 time in webofscience Cited 9 time in scopus

Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks

Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks
Dai, PL[Dai, Penglin]Liu, K[Liu, Kai]Zhuge, QF[Zhuge, Qingfeng]Sha, EHM[Sha, Edwin H. -M.]Lee, VCS[Lee, Victor Chung Sing]Son, SH[Son, Sang Hyuk]
DGIST Authors
Son, SH[Son, Sang Hyuk]
Issue Date
IEEE Transactions on Intelligent Transportation Systems, 17(7), 1956-1967
Article Type
Autonomous Intersection ControlAutonomous VehiclesConvex OptimizationConvex Optimization ProblemsIntensive Care UnitsIntersection ControlOptimizationQuality ControlQuality of Experience (QoE)Quality of Service (QoS)Traffic ControlTraffic IntersectionsTraffic SignalsTransportationTravel ExperiencesTravel TimeVehicle-to-Vehicle CommunicationsVehiclesVehicular CommunicationsVehicular NetworkVehicular Networks
Recent advances in autonomous vehicles and vehicular communications are envisioned to enable novel approaches to managing and controlling traffic intersections. In particular, with intersection controller units (ICUs), passing vehicles can be instructed to cross the intersection safely without traffic signals. Previous efforts on autonomous intersection control mainly focused on guaranteeing the safe passage of vehicles and improving intersection throughput, without considering the quality of the travel experience from the passengers' perspective. In this paper, we aim to design an enhanced autonomous intersection control mechanism, which not only ensures vehicle safety and enhances traffic efficiency but also cares about the travel experience of passengers. In particular, we design the metric of smoothness to quantitatively capture the quality of experience. In addition, we consider the travel time of individual vehicles when passing the intersection in scheduling to avoid a long delay of some vehicles, which not only helps with improving intersection throughput but also enhances the system's fairness. With the above considerations, we formulate the intersection control model and transform it into a convex optimization problem. On this basis, we propose a new algorithm to achieve an optimal solution with low overhead. Finally, we build the simulation model and implement the algorithm for performance evaluation. Comprehensive simulation results demonstrate the superiority of the proposed algorithm. © 2015 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
There are no files associated with this item.
Department of Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab1. Journal Articles

qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.