Intelligent Decision Support System for Modeling Transport and Passenger Flows in Human-Centric Urban Transport Systems

• Main Authors: Capayova, S. (Author), Davidich, N. (Author), Davidich, Y. (Author), Galkin, A. (Author), Kush, Y. (Author), Nowakowska-Grunt, J. (Author), Schlosser, T. (Author), Thompson, R. (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: Decision support systems; Distribution functions; Human-centric; Information management; information technology; Intelligent systems; modeling; Modeling; Modeling transport; passenger flows; Passenger flows; sustainable management; Sustainable management; the trip distribution function; The trip distribution function; Transport flow; transport flows; Transportation routes; Trip distribution; Urban transport systems; Urban transportation
• Online Access: View Fulltext in Publisher
• ISBN: 19961073 (ISSN)
• DOI: 10.3390/en15072495

Engineering human-centric urban transport systems should be carried out using information technology in forecasting traffic and passenger flows. One of the most important objects of urban transport systems’ progress is modeling patterns of transport flows and their distribution on the road network. These patterns are determined by the subjective choice of city residents of traffic routes using public and private transport. This study aimed to form a sequence of stages of modeling transport and passenger flows in human-centric urban transport systems and passenger flows in the human-centric urban intelligent transport systems and to determine the patterns of change to the gravity function of employees of municipal services. It was revealed that the trip distribution function of workers of urban service enterprises can be described by the attributes of the structure of the city, socio-economic data, and attributes characterizing the zones and its residents. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.