Ant colony optimization arithmetic of capacity restraint traffic assignment

Due to the unconformity of users travel behavior assumption to the reality in traditional traffic assignment models, a novel capacity restraint traffic assignment method based on ant colony algorithm was developed. Analyzed the crucial factors in trip path-making and then discussed the feasibility and rationality of using ants to simulate travelers in an urban network. The approach with its flow chart based on ant-cycle model was presented. An example was carried out and compared with a previous research on user equilibrium traffic assignment model in a directed traffic network. The simulated results demonstrate that the proposed solution is feasible and efficiency which can explain the network equilibrium state appropriately.