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A novel feature selection method based on a multi-swarm particle swarm optimization (MSPSO) is proposed in this paper. The canonical particle swarm optimization (PSO) has been widely used for feature selection problems. However, PSO suffers from stagnation in local optimal solutions and premature convergence in complex feature selection problems. This paper employs the multi-swarm topology in which...
Short term traffic speed prediction is very important in intelligent transportation systems. Neural networks have been widely used for traffic speed prediction. However, the classical neural network usually lacks satisfactory generalization ability, which usually results in an imprecise prediction of traffic speed. Regularization is an essential technique to improve the generalization ability of neural...
Real-time traffic speed is an important element for Intelligent Transportation Systems (ITS). Getting accurate road speed is very important for transportation service and management systems. Floating car system based on traces of GPS positions is an effective way to gather accurate real-time traffic speed information of a road network. But sometimes the real-time traffic speed information may get...
Most of current queue management schemes cannot guarantee the quality of service (QoS) in time-delay networks. To overcome the negative influence caused by round trip time (RTT), a novel congestion control scheme, named RSP, is proposed for queue management in time-delay networks. Specifically, Smith predictor is employed to compensate for the RTT delay, and internal model control is used to design...
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