People
Ing. Viktor Beneš

2024, 2024 Smart City Symposium Prague - IEEE PROCEEDINGS, New York, IEEE Press), ISBN 979-8-3503-6096-7, ISSN 2831-5618

This study investigates the effect of meteorological conditions on the traffic flow and its speed in Prague, with a focus on variations in temperature and precipitation. Using data from strategic traffic detectors operated by the municipality of Prague and sensors from the Czech Hydrometeorological Institute, it explores the correlations between weather fluctuations and traffic flow parameters. The findings reveal an influence of weather on traffic flow behavior, revealing that extremes in temperature and precipitation significantly affect both traffic flow and speed. This research contributes to a deeper comprehension of the mobility of humans and goods (city logistics) within urban settings. Importantly, it underscores the necessity of integrating meteorological data into transport management and planning, particularly in the context of ongoing climate changes.

2024, Neural Network World, 34 (1), p. 27-36), ISSN 1210-0552

Air pollution in cities and the possibilities of reducing this pollution represent one of the most important factors that today’s society has to deal with. This paper focuses on a systemic approach to traffic emissions with their relation to meteorological conditions, analyzing the effect of weather on the quantity and dispersion of traffic emissions in a city. Using fuzzy inference systems (FIS) the model for predicting changes in emissions depending on various conditions is developed. The proposed model is based on traffic, meteorology, and emission data measured in Prague, Czech Republic. The main objective of the work is to provide insight into how urban planners and policymakers can plan and manage urban transportation more efficiently with environmental protection in mind.

2023, Urbanismus a územní rozvoj, 26 (5), p. 63-66), ISSN 1212-0855

Znalostní grafy, které poskytují platformu pro integraci a koordinaci různých aspektů městského plánování a správy, jsou zkoumány v kontextu hlavního města Prahy, konkrétně domény mobility. Článek představuje analýzu v oblasti korelace dat mezi emisemi, meteorologickou situací a automobilovou dopravou. Dále se zaměřuje na představení znalostních grafů jako nástroje pro vytváření holistických a integrovaných řešení pro výzvy související s městským rozvojem, pečlivého plánování a koordinaci při implementaci a využití znalostních grafů v praxi. Výsledky ukazují, že přestože znalostní grafy nabízejí mnoho možností, jejich úspěšné využití vyžaduje zohlednění specifického kontextu a potřeb každého města.

2023, Smart Cities and Digital Transformation: Empowering Communities, Limitless Innovation, Sustainable Development and the Next Generation, Bingley, Emerald Group Publishing Ltd.), p. 327-356), ISBN 978-1-80455-995-6

Cities’ population growth goes in hand with the development of new technologies that are becoming the key factor of the Smart City (SC) concept. It allows the implementation of efficient management solutions, operation, and sustainable development of a city to face the challenges of urbanization and improve the services for the citizens and visitors. The concept of the SC 5.0 was first presented in Svítek, Skobelev, and Kozhevnikov (2020), where the problems of the complexity of current cities due to rigid management processes, variety of infrastructure, and SC modules, systems, subsystems, and applications were described. To prove the concept, several practical examples were developed to cover the topics: modeling in SCs, practical implementation of multiagent technologies, the approach of creating city ontology and the city knowledge base as the instrument of semantic interoperability, and visualization possibilities of Smart Evropská as a SC Testbed used for teaching purposes. The new organizational structure is proposed based on knowledge graphs, and practical examples are shown. The applicability of knowledge graphs to be used in combination with data management platforms for monitoring SC key performance indicators (KPIs) and providing interoperability of services is presented.

2022, 2022 Smart City Symposium Prague, Piscataway, IEEE Signal Processing Society), p. 1-6), ISBN 978-1-6654-7923-3

The paper deals with the research of Smart City ontologies and Knowledge graphs and proposes a new organizational structure on how to use them in practical Smart city management. An illustrative example uses a design of a knowledge graph for parking problems in Prague. The results confirmed the usefulness of Knowledge graphs connected to the city’s data platform. The presented methodology can be used as a practical tool for monitoring the city’s sustainability and resiliency.

2021

2018