SYNTHESIS OF GROUP SOLUTIONS FOR SOLVING THE CHOOSING VEHICLES PROBLEM IN THE LOGISTICS SUPPORT PROCESS OF URBAN PASSENGER TRANSPORTATION

Abstract

Every year, data processing methods of urban passenger transportation are gaining popularity for decision-making on the organization of passenger transportation in a "smart city", ensuring the efficiency of people's movement in space and time. Their relevance is due to the data volumes, changes in demand for the quantity and quality of necessary vehicles of various types. The object of the study is the process of synthesizing group solutions for addressing the problem of vehicle selection for logistical support of urban passenger transportation. The subject of the study is the principles of studying uncertainties and risks, caused by uneven traffic flows, the use of various types of vehicles, the state of transport corridors and nodes, etc. The purpose of the study is to solve the problem of selecting vehicles for urban passenger transportation in multi-criteria conditions. The following tasks are solved in the article: studying the criteria features for selecting different vehicles for multimodal transportation; simultaneous consideration of both gains and risks based on the ranking of alternatives; group solutions synthesis for choosing a vehicle, taking into account the qualifications of experts. Methods of forming collective expert assessments (EA) and making decisions based on them, forecasting, optimizing logistics systems, and building applied computer systems (CS) on this basis were used. As a result of the work, a method for solving the multi-criteria problem of choosing vehicle options for passenger transportation was proposed based on the BOCR method, which considers several indicators of transportation quality that determine their optimality and efficiency. The scientific novelty lies in the justification and assessment of the comparative importance of criteria, taking into account different forms of representing experts' preferences (fuzzy, point, etc. EA) based on the method of group expert assessment and analysis of hierarchies. The achieved results of the synthesis of group solutions for solving the problem of vehicle selection in the process of logistical support of urban passenger transportation have practical value in optimizing the provision of vehicle routes, forecasting and planning demand for vehicles by capacity, route numbers, owners, comfort level and other criteria, as well as for achieving optimal productivity of the urban passenger transportation system and improving the quality of passenger service due to data from the CS "smart city".