Attribute Reduction to Traffic Flow in Area Traffic Control Based on Rough Sets
Xiankun Liu · Jisuanji fangzhen · 2006
For area traffic control based on choosing project,the attribute reduction to traffic flow in an urban area could reduce the computing works in real-time,and which is a key step in carrying out this kind of control mode.A chaotic algorithm approach and a concept about chaos variation were introduced in producing population and variation algorithm of genetic algorithm approach,and then a chaotic and genetic algorithm approach was developed and used in attribute reduction in rough sets,and the support degree in rough sets theory was introduced in constructing fitness function,and the discriminability lower triangular-matrix was used to judge the feasibility of each individuals.At last,the chaotic and genetic knowledge-reduction approach was used in attribute reduction to traffic flow,and the simulation result shows that this algorithm can find the minimal reduction.