Fuzzy optimization of route networks urban passenger transport

The work aims to study methods for optimizing the route networks of urban passenger transport with fuzzy initial information since process transportation in cities has many factors uncertainty and stochasticity is quite complex, including a whole range data. Heuristic optimization are proposed. study's main result improvement transport. These today make it possible take into account opposing interests participants transporting passengers city, as well set large parameters restrictions mathematical model network. A problem been solved, computational experiment carried out, results have obtained illustrate proposed method. This method easy understand apply find optimal solution models real problems. An algorithm finding L alternate routes determining ideal vehicle traffic control based on graph database allows control.