RESEARCH ARTICLE
Method of Effective Implementation of Intelligent Hardware Complexes in the Management of Passenger Transportation Processes within Urban Agglomerations
Ravil Safiullin1, *, Haotian Tian1
Article Information
Identifiers and Pagination:
Year: 2024Volume: 18
E-location ID: e26671212272101
Publisher ID: e26671212272101
DOI: 10.2174/0126671212272101231128060918
Article History:
Received Date: 18/07/2023Revision Received Date: 05/10/2023
Acceptance Date: 29/10/2023
Electronic publication date: 07/02/2024
Collection year: 2023
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background:
The road transportation sector faces rising task complexity, driving the development of localized telematic traffic control systems. Integrating cutting-edge technologies is essential, surpassing administrative measures. A methodological approach is imperative for successful implementation.
Objective:
This study aimed to improve the efficiency of the implementation of intelligent information and communication technologies in the passenger transport system of urban agglomerations on the basis of objective assessment and rational choice of hardware complex in the field of vehicle traffic management.
Methods:
For the evaluation and effective implementation of intelligent hardware complexes in passenger transportation, diverse techniques, including mathematics and computer modelling, expert evaluations, theory of algorithms, computational experiment, mathematical statistics, observation, and measurement, were employed.
Results:
The approach of effective implementation of hardware complexes in passenger transportation management is proposed, and the order of calculation of passenger transport motion interval is developed. The calculations of economic and technical feasibility showed an increase of efficiency by 20-40% and a return on investment by 47%.
Conclusion:
The developed methodological approach for the effective implementation of intelligent hardware complexes in passenger transportation process control can serve as methodological support for the modernization of the automation and traffic control system of passenger transport. Further research will be aimed at automating the method by developing application software for the effective implementation of hardware technical control systems based on the described method. Additionally, this research can contribute to a broader study of complex systems, unraveling connections between parameters, information and technical aspects of hardware complexes and transportation and operational metrics in passenger transport processes.
