A study on highway network emergent resource scheduling in regional heavy snow and server rime disasters

The natural disaster of heavy snow and server rime in winter affect people´s life order by disturbing traffic. A two-stage emergency resource scheduling model was constructed to optimize the emergent resource dispatching plan, so that the limited supplies, which may ensure health and safety of the blocked staff, could reach all parts of the highway net as soon as possible. An ant colony optimization (ACO) based approach was applied to solve the first stage of the model, and a heuristic algorithm was designed to solve the second stage. At last, numerical examples were given, and in order to enhance the ACO´s searching ability, zoning Fibonacci method was adopted to optimize the main parameters of the algorism. The results show that the proposed method can find the approximate optimal solution effectively.