Introduction
This studypresents a comprehensive evaluation of the effectiveness of passenger transportation using intelligent technologies based on economic, technical, and operational efficiency parameters. It reviews existing approaches to efficiency assessment and proposes an optimal set of criteria for assessing the efficiency of the passenger transport process, which will allow for better planning of routes, movement schedules, and choice of transport rolling stock.
Objective
This study aims to provide a better assessment of the efficiency of passenger transport using intelligent technologies.
Aims
This article aims to carry out an integral assessment of the efficiency of passenger transport using intelligent technologies based on the criteria of economic and technical-operational efficiency, which will allow better planning of routes and schedules and selection of rolling stock
Methods
In order to obtain a comprehensive criterion for assessing the efficiency of the transportation process, diverse techniques, including computer and mathematical modeling, algorithm theory, mathematical statistics, observation, and measurement, were employed.
Results
A general criterion was created in order to evaluate the efficiency of passenger transportation processes based on the overall costs for both the user and the operator. Furthermore, a specific criterion of efficiency for passenger transportation processes has been defined: passenger-kilometers traveled. The applicability of the model is evaluated in a bus corridor in Havana. The results show that due to external factors, namely overcrowding, overall costs decrease at the same rate for both 12-meter and 15-meter buses with different intervals, while the number of passengers transported per kilometer increases at a faster rate for larger buses.
Conclusion
Choosing a criterion to assess the effectiveness of the passenger transportation process requires considering various aspects of importance that will result in passenger comfort and safety, as well as the effectiveness of the transport process. To solve this problem, it is necessary to do additional research and analyses to determine the most appropriate set of criteria under specific conditions. In particular, consider vehicles of smaller capacity to take into account volumes with variable demand.
