Determination of Optimal Number Vehicles for the Functioning of Carshing in Kyiv Within the Framework of Improving the Transport System

Abstract

The problem of ensuring the quality of transport services provided to the population by a car-sharing firm is studied. For a formalized description of functioning process car-sharing company, information, scientific and experimental bases were used, with the help of which it became possible to solve transport problems in the conditions of constant improvement of the city's transport system. The main purpose of this study using a mathematical apparatus is to obtain the resulting indicators, which will provide recommendations for improving the level of customer service by car-sharing companies, taking into account the possible effects of certain system parameters. A mathematical model was used to conduct the study, which takes into account the main indicators that affect the determination of the optimal number of vehicles of the company to ensure a high level of customer service of the car-sharing company. In the course of the work, the most important indicators influencing the quality of transport services were identified and a method for determining the optimal number of vehicles to qualitatively meet the needs of customers of a car-sharing company was proposed. Statistical data on car-sharing needs in Kyiv were obtained on the basis of the Getmancar application. The function of exponential distribution of travel time from their number during the study period of 13 days was obtained. Necessary calculations were performed and recommendations were received to increase the fleet of car-sharing vehicles from Getmancar to 293 units. This will increase the density of vehicles in the area, thus ensuring a 100% probability of finding a free vehicle at a distance of 0.6 to 1.2 km. It is proposed to apply the obtained results in the process of optimization of the transport network of Kyiv. The proposed method is recommended to be used during the reorganization of the city transport system, urban redevelopment, forecasting the results of the transport system during the intensive development of the transport network.