Optimization of Urban Public Traffic Networks

This paper optimized the urban public traffic networks by hybrid genetic. The combination of all bus routes in the network acts as an individual of genetic algorithms, with every bus route scheme being one of the genes on the individual chromosome. Bus routes are described, memorized and operated as trees, so the genetic operations of individuals are implemented with genetic programming methods. By defining the primary fitness of individuals similar to the definition of power in electrotechnics, the algorithms works well and optimizes the network taking into account factors such as operation costs, traffic line length, road capacity and so on, simultaneously.