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Optimization of Urban Traffic in City Network

The urban traffic in city areas leads to serious problems with traffic jams, air and noise pollution, social problems, etc. A solution for improving the urban traffic is proposed. A real distribution problem is formalized by mixed integer-linear programming problem. Instead of specialized software tools for optimization, open software available for any customer or manager is proposed here. The existing problem is modelled in Excel environment and solved by its application Solver. It is shown the uniqueness of modelling by its small modification leading to substantial decision making of the modified model. Both models lead to improving the traffic flows and decreasing the traffic routes according to the formalization of the tasks and received optimization solutions.