A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
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Intersection as the city's road network node, is the meeting point for distribution of traffic flow. In fact, traffic signal control is partition of traffic flows in time and space, so that the traffic flows no conflict obtain right-of-way in order. This paper present the real-time signal timing optimization in intersection, in which, the Kalman filter is used to forecast short-term traffic flow, the particle swarm optimization optimize the timing parameters. Simulation tests confirmed that the algorithm is superior to the traditional signal timing algorithm, which reduce the average delay time effectively.