Public Traffic Intelligent Dispatch Algorithms Based on Immune Genetic Algorithm

摘要

Taking into account the current transit vehicle operation scheduling problems using genetic algorithms and hybrid genetic algorithm for static scheduling of public transport vehicles were studied. Intelligent features of the genetic algorithm, effectively improved the public transport vehicles, static scheduling. On the basis of integrated biological immune mechanism interdisciplinary theory, this paper into the genetic algorithm immune algorithm which constitutes an improved genetic algorithm, and applied to solve the bus scheduling management optimization, and use of simple genetic algorithm The calculation process is simulated and compared. Application results show that the algorithm is simple, efficient, stable, traditional methods and can better overcome the shortcomings of existing genetic algorithms, performance has been significantly improved, with satisfactory results, improving the operational efficiency of public transport vehicles.