Vehicle capacity selection for urban freight collecting and distribution operating

The paper is devoted to the research of selection vehicles method for servicing urban collecting and distribution routes. The trips simulation of conveying unitized cargo to the distribution bays has been conducted based on the origin data and limitations. After that, the dependences of changes in transportation costs depending on the transportation process parameters of unitized cargo in a simulated network have been identified. The next step was to identify patterns of change in the total transportation expenses due to vehicle capacity and collecting and delivery demand. Basis obtained results, the dependence of the optimum vehicle capacity on the scope of delivery at the distribution bays was determined. A statistical model of dependence of optimum vehicle capacity on the scope of collecting and delivery amount in the distribution point has been obtained. Results assessment indicates about sufficiently high information capacity of obtained model in the urban sphere and ability to use in applied calculations. The online schedules and motor park optimization can be a result.