Lidé na fakultě
Ing. Milan Sliacky, Ph.D.

2024, Driver-Car Interaction and Safety Conference 2023, Praha, České vysoké učení technické v Praze), p. 109-113), ISBN 978-80-01-07387-2, ISSN 2336-5382

The article describes the practical experience of testing a specific ticketing system for public transport based on blockchain technology. The testing aimed to verify the overall functionality of the complex system as well as the correct execution of the functions of its selected parts, which consist of several separately developed but closely cooperating subsystems: blockchain, clearing, and mobile application subsystem with support of bank payment system. Communication between the different parts was implemented through APIs developed for this purpose. The availability of API documentation and the implementation on Linux OS allowed the use of sophisticated tools for testing and performing both manual and automated tests. Performed tests made it possible to detect errors in the program code of the respective components and to provide the basis for their elimination. Applied approaches and tools can be used to test similar complex information-handling systems.

Stať ve sborníku z prestižní konf. (Scopus)

2024, Inżynieria Mineralna, Kraków, Polskie Towarzystwo Przeróbki Kopalin), p. 1-9), ISSN 1640-4920

This paper provides an overview of the current challenges that occur within the design of the urban mobility concept and urban development concept. These challenges are discussed in view of the unique ELABORATOR project, which brings together different approaches and measures in a total of 12 European cities to improve micro mobility and sustainability and prove a concept toward climate-neutral cities. The main goal of the paper is to clearly describe the current state of mobility in the city of Liberec in the Rochlice housing estate area with the main objective focused on parking availability and identification of undesirable phenomena (incorrect parking, exhausted parking capacity, difficult passage for rescue services etc.). Therefore,the definition of ongoing problems is described from default to design and propose strategic interventions towards efficient parking supporting local mobility needs. Parallelly, the evaluation methodology is defined according to the requirements of strategically defined goals in sustainable urban mobility plans and the goals of the project. The proposed methodology reflects in situ measurement, identification of large-scale impacts based on quantitative analysis, and qualitative feedback collection from public events and applied interviews with city residents, and last but not least, the use of shared experiences of cities within the ELABORATOR project. This complex solution is defined to improve parking availability and to measure the real impact of proposed interventions on traffic on dedicated housing estates.

Stať ve sborníku z mezinár. konf.

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

The paper describes the software outputs of the R&D project “Intelligent system for analysis and prediction of public transport”. All developed outputs were integrated into the pilot plant to test and optimize before the production phase. All outputs were tested first individually and then complexly with interconnection to other parts of the system. The paper further describes the process of testing and the results obtained for the short-term prediction module for route planning and the module for analysis and medium-term predicting for the needs of public transport operators.

Stať ve sborníku z prestižní konf.

2023, 2023 Smart City Symposium Prague, New York, IEEE Press), ISBN 979-8-3503-2162-3, ISSN 2691-3666

As part of the implementation of the Smart City concept in cities, there is an effort to use efficient, economical and sustainable solutions that should contribute to increasing the quality of life in cities. LoRaWAnis one of the IoT technologies that offers a solution for wireless data transmission, when the main goal is low energy consumption at low acquisition costs. Cities are currently building this network, but they often do not have a clear purpose in advance for its versatile use. The aim of this review paper is mapping the possibilities of using the LoRaWAnnetwork for (not only) Czech cities. First, it analyzes and describes the current state of knowledge in the field of LoRaWantechnology, then, based on examples of good practice from various cities across the several countries, it defines the areas of use of the LoRaWannetwork for streamlining processes in cities, and then gives specific examples of elements - sensors that can be used in the LoRaWannetwork. Finally, we propose specific recommendations on the example of a case study for Hradec Králové, which is a medium-sized city in the Czech Republic that currently has a LoRaWannetwork built. All the recommendations are in line with the concept of sustainable mobility and the SMART Hradec Králové project.

Stať ve sborníku z mezinár. konf.

2023, 2023 Smart City Symposium Prague, New York, IEEE Press), ISBN 979-8-3503-2162-3, ISSN 2691-3666

Protected nature parks are important areas that often arouse the greater interest of visitors for their natural beauty and landscape. Paradoxically, these visitors and their need for transport across the territory endanger these areas. To find the balance between transport needs and environmental protection, it is necessary to apply suitable measures that will regulate and improve traffic and movement in these areas. The article aims to present possible solutions to influencing traffic in protected areas. Applied research was a part of the study, where the transport system in protected areas was proposed as a soft system. The method used is based on a detailed analysis of data sources for a complex system and their subsequent integration, which leads to the design of a new architecture. The proposal is shown in the case study in the Czech Republic.

Stať ve sborníku z mezinár. konf.

2023, SUSTAINABILITY, 15 (17), ISSN 2071-1050

In the context of nature protection, there is an effort to regulate individual car traffic in protected areas. In the framework of the research, a pilot testing of a vehicle detection and identification system in the Krkonoše National Park was carried out using two selected technologies (license plate recognition and Bluetooth token detection). The research was carried out under conditions of poorer availability of mobile signal for transmission of measured data, lack of electrical power supply, and in challenging climatic conditions in the mountains. The main objective was to verify the applicability and limits of the mentioned technologies under these difficult conditions. For this purpose, two test sites were built: a fixed and a mobile point. Testing at both points was carried out using two basic methods, namely online through continuous data collection from the detectors and on-site through a local survey during the summer of 2022. The parameters evaluated were the reliability of the vehicle identification itself and the reliability of the operation of the individual detection subsystems and the tested system as a whole. The results show that the license plate recognition system using two cameras for the checkpoint shows a high recognition reliability, but it is reduced for some types of vehicles (especially motorcycles and four-wheelers). At the same time, this technology is demanding on energy resources. Detection using a Bluetooth scanner has proven to be highly reliable up to 50 km/h. A reliable power supply is necessary to achieve high reliability, which was a problem at the mobile point. Evaluation of images from cameras with motion detection showed the limits of this technology, which increased with increasing vehicle speed. The system can be used to detect traffic in protected areas, taking into account the limits specified in this article.

Článek v periodiku excerpovaném SCI Expanded

2022, ISBN 978-80-01-07105-2, ISSN 2336-5382

Sborník z mezinár. konf. cizojazyčně

2018, 2018 Smart City Symposium Prague, New York, IEEE Press), p. 1-6), ISBN 978-1-5386-5017-2

In this paper we perceive data analysis with empirical probability functions as a data mining method. We propose a way to carry out this type of analysis by employing the LISp-Miner system, namely the CF-Miner procedure and pattern difference quantifiers. In order to confirm that LISp-Miner is a suitable tool for this purpose, we briefly present both methods and then show their equivalence. We do this by providing theoretical description which we then support by analysing a small set of data concerning traffic accidents with methods and comparing results. Afterwards we provide an example of analysis of a full data set concerning rail tickets sold at selected stations in 2014. We show that by considering “difference histograms” it is possible to identify remarkable dissimilarities in histograms of time of ticket sale that would not be found otherwise. Both analyses confirms that the method we propose can provide new and interesting results even if the data has been already analysed.

Stať ve sborníku z prestižní konf.

2018

Technická zpráva v češtině

2018

Technická zpráva v češtině

2017

Výzkumná zpráva v češtině

2017

Technická zpráva v češtině

2017

Výzkumná zpráva v češtině