Research on DCW-PSO Algorithm and Its Application in Intelligent Transportation Systems

Based on the urban traffic network´s real-time characteristic, a particle swarm optimization with dynamically changing weight (DCW-PSO) is adopted in order to search the optimal path quickly and efficiently. This algorithm brings in the factors of evolution speed and aggregation degree, based on which the weight is changed dynamically in each iteration process. Finally, the DCW-PSO proposed in this paper and the algorithm of particle swarm optimization with linearly decreasing weight (LCD-PSO) are tested separately in the process of searching the optimal path, and the conclusion is drew out that DCW-PSO is more suitable to search the optimal path in intelligent transportation systems.