Predavač: Assist. Prof. Dr. Babič Matej, Ph.D.
Faculty of information studies, Novo mesto, SloveniaPredavanje: četvrtak 17.04. u A302 u 13:15 do 14:00 h
CV: Matej Babič received his Ph. D. degree in Computer Science in 2014 from the Faculty of Electrical Engineering and Computer Science of the University of Maribor. Slovenia. He studied Mathematics at the Faculty of Education in Maribor. He concluded postdoc at Jožef Stefan Institute, Ljubljana, Slovenia. At this time, he is Assistant Professor at Faculty of information studies, Novo mesto, Slovenia. His research interest is in fractal geometry, graph theory, intelligent systems, hybrid machine learning, public transport and topography of materials after hardening.
Predavanje: NEW METHOD FOR ESTIMATING COMPLEXITY OF PUBLIC TRANSPORT NETWORK
Abstract: In fractal geometry, the fractal dimension, D, is a statistical quantity that gives an indication of how completely a fractal appears to fill space as one zooms down to finer and finer scales. The fractal dimension means self-similarity in mathematics and its value has been used to estimate the irregularity of fractured surfaces in materials science. Network theory is the study of graphs as a representation of either symmetric relations or asymmetric relations between discrete objects. In computer science and network science, network theory is a part of graph theory: a network can be defined as a graph in which nodes and/or edges have attributes.
Public passenger transport (PPT) is not competitive with passenger cars, as it does not allow for comfortable and time-sensitive transport, but rather forces users to adapt their daily rhythm to the PPT timetable. In rural areas, where population density is lower and the average age is often higher due to the greater fragmentation of settlements, the connection with urban centers via PPT is a particularly serious problem. PPT is part of the modern urban infrastructure and a means of daily population migration. It provides access to economic functions and social needs of all population groups, including those who cannot afford a private car (people on low incomes), those who are physically unable to drive a car or who do not have a driving license (small children, elderly people with health problems and people with disabilities) or who choose PPT for environmental reasons.
Traffic is one of the most important air pollutants. Transport air pollution results from the combustion of fuels. The motivation for our work is to increase the number of bikes in the GoNM system and thus reduce the use of cars. As a result, I reduce emissions and improve people’s health. I will present a new method for estimating fractal dimension of network and its application in public transport.