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A Fault‐tolerant Algorithm for Adaptive Control Mode of Traffic Signal Controller

並列摘要


Adaptive control mode is an important function of traffic signal controller. It is also a necessary requirement of the development of intelligent transportation system (ITS). The real‐time data collection of traffic flow is the foundation of the adaptive control mode. Aimed at solving the problems that the data exceptions and loss of the vehicle detectors are caused by noise interferences or communication failure, this paper proposes a fault‐tolerant algorithm based on least squares support vector regression (LS‐SVR). The algorithm can estimate the traffic flow while the corresponding detectors malfunction. Thus the basis data can be offered for the adaptive control mode of traffic signal controller. The simulation results demonstrate the validity of the proposed algorithm.

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