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Associate prof. Ing. Tomas Tichy, PhD, MBA, was born in Prague in 1974, and he graduated from the Faculty of Transportation Sciences of the Czech Technical University in Prague in 2000. He received his PhD degree in 2004 in the field of Engineering Informatics and was appointed as associate professor in Engineering Informatics in Transport and Telecommunications in 2009. He graduated in 2017 from the University of Economics in Prague. He teaches courses on ITS control systems, system safety and reliability, tunnel systems and transport telematics as a lecturer at CTU in Prague. Since 2000, he has worked in the ELTODO Group in various positions, from a traffic engineer to the head of the traffic management department, and has experience in the implementation and design of ITS systems, traffic control algorithms, tunnel systems, public lighting, etc. He is the director of Strategic Development and is responsible for the development of the entire ELTODO Group (Energy, Transport, ICT, Lighting and Industry), solves grant projects, collaborates with the private and academic sectors in research and development, is responsible for ISO and TQM in the ELTODO Group and manages as many as 50 employees with a turnover of more than CZK 50 million. Currently, he works at CTU FTS as the head of the laboratory of traffic control and modeling and he has solved science and research projects.
The main goal of this paper is to present new possibilities for the detection and recognition of different categories of electric and conventional (equipped with combustion engines) vehicles using a thermal video camera. The paper presents a draft of a possible detection and classification system of vehicle propulsion systems working with thermal analyses. The differences in thermal features of different vehicle categories were found out and statistically proved. The thermal images were obtained using an infrared thermography camera. They were utilized to design a database of vehicle class images of passenger vehicles (PVs), vans, and buses. The results confirmed the hypothesis that infrared thermography might be used for categorizing the vehicle type according to the thermal features of vehicle exteriors and machine learning methods for vehicle type recognition.
Tomáš Tichý; David Švorc; Miroslav Růžička; Zuzana Bělinová. Thermal Feature Detection of Vehicle Categories in the Urban Area. Sustainability 2021, 13, 6873 .
AMA StyleTomáš Tichý, David Švorc, Miroslav Růžička, Zuzana Bělinová. Thermal Feature Detection of Vehicle Categories in the Urban Area. Sustainability. 2021; 13 (12):6873.
Chicago/Turabian StyleTomáš Tichý; David Švorc; Miroslav Růžička; Zuzana Bělinová. 2021. "Thermal Feature Detection of Vehicle Categories in the Urban Area." Sustainability 13, no. 12: 6873.
Smart and automated maintenance could make the system and its parts more sustainable by extending their lifecycle, failure detection, smart control of the equipment, and precise detection and reaction to unexpected circumstances. This article focuses on the analysis of data, particularly on logs captured in several Czech tunnel systems. The objective of the analysis is to find useful information in the logs for predicting upcoming situations, and furthermore, to check the possibilities of predictive diagnostics and to design the process of predictive maintenance. The main goal of the article is to summarize the possibilities of optimizing system maintenance that are based on data analysis as well as expert analysis based on the experience with the equipment in the tunnel. The results, findings, and conclusions could primarily be used in the tunnels; secondarily, these principles could be applied in telematics and lead to the optimization and improvement of system sustainability.
Tomáš Tichý; Jiří Brož; Zuzana Bělinová; Rastislav Pirník. Analysis of Predictive Maintenance for Tunnel Systems. Sustainability 2021, 13, 3977 .
AMA StyleTomáš Tichý, Jiří Brož, Zuzana Bělinová, Rastislav Pirník. Analysis of Predictive Maintenance for Tunnel Systems. Sustainability. 2021; 13 (7):3977.
Chicago/Turabian StyleTomáš Tichý; Jiří Brož; Zuzana Bělinová; Rastislav Pirník. 2021. "Analysis of Predictive Maintenance for Tunnel Systems." Sustainability 13, no. 7: 3977.