Algorithm for optimization of production processes and passenger transportation operations

Abstract

Research of transport processes are closely related to the economic and operational performance of road transport. When planning road transport, the most important factor is the cost of transport services. It is known that improper organization of the vehicles work taking into account the type, size, modes of vehicle stock operation of, quantitative composition, qualifications and responsibilities of personnel, along with other organizational measures leads to unjustified costs. In general, this reduces the attractiveness of the business to its owner, as well as reducing motivation for staff. Therefore, research related to improving the efficiency of vehicles by reducing costs is appropriate and relevant. The article presents the results of research on the planning of transport processes in the performance of public passenger transport on urban and suburban routes. The proposed method is aimed at optimizing the number of vehicle stock and its passenger capacity depending on the capacity of passenger traffic and the recommended traffic interval, and also allows you to calculate economic and financial indicators based on the optimization model. The article presents the results of research to determine the transport mobility of cities and suburbs residents. On the basis of research data of the population survey a number of qualitative indicators of passenger transport work important from the point of its user’s view is established. Also, according to the results of research, the probability of increasing passenger traffic due to the redistribution of the population (potential user of public transport), who uses individual transport and taxis. Therefore, the main purpose of the research is a multi-criteria task, which is to ensure adequate forecasting of fixed and variable costs in the performance of passenger road transport on public transport. As well as obtaining a constant and projected profit due to the algorithm for optimizing the work of vehicle stock, the work of driving crews, the elimination of unproductive costs.