People
Ing. Martin Langr, Ph.D.

2024, Neural Network World, 34 (4), p. 203-218), ISSN 1210-0552

The primary objective of the presented research is to enhance an existing data quality control application by integrating advanced anomaly detection mechanisms based on generalized additive models. This approach targets time- series traffic data, where traditional methods may fall short in identifying complex, non-linear patterns of anomalies. In collaboration with Simplity s.r.o., we are extending their current data quality assessment tool to incorporate generalized additive models, providing a more robust and dynamic solution for monitoring and ensuring the reliability of traffic datasets. The integration of these models aims to improve the accuracy of anomaly detection, leading to more effective data management in transport systems and contributing to higher standards of data quality in the field of traffic informatics.

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.

2024

Zpráva o činnosti ČVUT FD v roce 2023 při řešení projektu Nástroje kvality dat pro zabezpečení systémové spolehlivosti dopravně informačních center.

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

Within the activities of planning, organizing, or regulating traffic, a considerable amount of various traffic data is actively used. For responsible data-based decision-making, the quality of the utilized data is crucial. However, defining the specifics of this quality and establishing procedures for its control is often ambiguous. The primary objective of the research was to review methods for ensuring or managing data quality within the transportation environment. Building on the collected information, a practical data governance approach was delineated to be applied to specific transportation data. Simultaneously, data from detectors and floating vehicles on the highway network in the Czech Republic were analyzed for the same reason. The results show that the chosen data governance approaches are applicable to transportation data, even in the task of evaluating data quality in the detail of individual dimensions. In the context of semantic data quality control, it is necessary to explore additional suitable tools, such as the use of statistical models, to reliably distinguish real errors or otherwise reduced data quality from genuinely truthful values, such as traffic conditions.

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

Floating car data (FCD) is a beneficial consequence of the modern telematics technologies in the logistics and automotive industry, and can thus be an additional source of transportation data about current traffic flows on the road network. There is a state-provided free source of this data available in the Czech Republic, which is relatively new and gradually being introduced for use by the public and private sectors. This data source appears to be very promising for nationwide coverage; however, due to its novelty, it is necessary and advisable to investigate its qualitative parameters and assess whether it actually adequately characterizes vehicle traffic flows. The present paper deals with the characteristics and quality of processed FCD outputs before and during the covid-19 pandemic, for the possibility of capturing and comparing significant changes in the behaviour of road users. The paper describes the impact of the associated pandemic measures on traffic in the country in general, which can be detected during FCD processing, as well as the impact on the quality of FCDs as such. It also tests the hypothesis that although the quality of the data has been reduced as a result of the pandemic, the data still have sufficient predictive value. The paper describes the specifics of the data in the spatial and temporal domain analyzed and makes recommendations for future work for use in models and predictions.

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.

2023

2023

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.

2022

2022

2021

2019, 2019 Konference - 25 let Fakulty dopravní, Praha, České vysoké učení technické v Praze), p. 19-21), ISBN 978-80-01-06545-7

Obor Inteligentní dopravní systémy (dále jen ITS) vyučovaný na FD ČVUT je v bakalářském studijním programu Technika a technologie v dopravě a spojích vyučován blokově. Bloková výuka je jednou ze součástí moderních výukových konceptů, který dlouhodobě funguje např. ve Švédsku. Základním rozdílem oproti klasické výuce probíhající v českých podmínkách je, že se studenti nevěnují většímu množství předmětů najednou, ale naopak se intenzivněji (několik týdnů) zabývají jedním konkrétním předmětem. Princip blokové výuky s sebou přináší výhody i nevýhody. V tomto článku dochází ke zhodnocení zkušeností s blokovou výukou na FD ČVUT, které byly nabyty v prvních dvou letech od jejího zavedení. Zároveň jsou v závěru článku naznačeny vize a směry, jak tuto alternativní formu výuky v českých podmínkách více podporovat a rozvíjet.

2019, 2019 Konference - 25 let Fakulty dopravní, Praha, České vysoké učení technické v Praze), p. 78-79), ISBN 978-80-01-06545-7

Článek představuje činnosti Laboratoře řízení a modelování dopravy, která je specializovaným pracovištěm Ústavu dopravní telematiky na Fakultě dopravní více jak 8 let. Členové laboratoř se podílejí na několika studentských projektech, zejména pak na projektu Řízení a modelovaní silniční dopravy a dále se podílí na řešení projektů vědy a výzkumů, komerčních projektů, jež jsou nedílnou součástí výuky vybraných předmětů na Fakultě dopravní.

2019, 2019 Smart City Symposium Prague, New York, IEEE Press), p. 1-5), ISBN 978-1-7281-0497-3

This paper presents a new approach to pavement rehabilitation using a 3D measuring. The proposed methodology of the pavement rehabilitation overcomes the limitation of the traditional methods of the pavement rehabilitation which cannot achieved the required accuracy. The 3D measuring technology eliminates human faults and improves the total quality of the pavement rehabilitation. The pavement rehabilitation is performed in the concept of Industry 4.0 which is part of Smart City owing to the 3D measuring.

2018

Komplexní studie „Dopravní průzkumy realizované v Uherském Hradišti v rámci pilotního projektu testování vyvinutého systému adaptivního řízení“ se zabývá přípravou, metodami a realizací rozsáhlých dopravních průzkumů v posuzované lokalitě města Uherské Hradiště a jejich následným vyhodnocením. Studie je jedním z praktických výstupů projektu RODOS (Centrum pro vývoj dopravních systémů) vzniklým na základě spolupráce Fakulty dopravní Českého vysokého učení technického v Praze a společností Eltodo a. s. Provedené dopravní průzkumy pak byly zaměřeny na testování nových dopravně-telematických technologií v reálném provozu města.

2018

Dokument se zabývá navržením systému dynamické obsluhy území veřejnou hromadnou dopravou na základě výzvy od cestujících. Na základě charakteristiky požadavků je dynamicky přizpůsobeno linkové vedení a časové polohy spojů obsluhující danou oblast.

2018, Management Perspective for Transport Telematics. TST 2018., Springer, Cham), p. 18-40), ISBN 978-3-319-97954-0, ISSN 1865-0929

With the implementation of the ITS Directive (2010/40/EU) concerning the pan European travel and traffic information services the quality of the service and underlying data becomes an issue. There is a number of different approaches how to assess the quality of data and of a service, each with its particular benefits, however together the approaches are not implementable and alone do not cover all the specifics of the traffic information. The paper deals with an incremental implementation of traffic information service quality measures, focusing, in the first step, only on directly measureable technical and editorial aspects of the data and a service quality. These aspects are measured and tested on the real world example and the results, its impacts on quality improvement, are discussed.

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

Traffic overload is a pressing problem for many cities nowadays and they are trying to find smart solutions. Therefore cities are introducing traffic control systems that facilitate a more dynamic transit through the city for transit traffic while optimizing the control of individual junctions equipped with light signalling. Evaluation of traffic control parameters is usually based on processing of data from traffic surveys. This article describes the design, implementation and verification of alternative methods of traffic surveys for the comparison of traffic control systems in a case study of Uherské Hradiště. In this city, an extensive pilot project took place in summer and autumn 2017 to test the new algorithm for adaptive traffic control at selected light-controlled junctions of the city. The aim of the designed traffic surveys was to evaluate the parameters of the newly installed traffic control systems and to compare them with the control parameters of the original system.

2018

Dopravní studie Pasportizace světelně signalizačních zařízení v pražské metropolitní oblasti se zabývá soupisem a popisem SSZ ve vymezené oblasti a jejich hodnocení z pohledu preference veřejné dopravy.

2018, Proceedings of 36th International Communications Satellite Systems Conference (ICSSC), FGM Events), ISSN 2573-6124

The basic concept of Industry 4.0 is virtualization of reality - creating a digital image of real world and optimizing and planning processes in this virtual environment. The aim is to find the best solutions in a broad relationship with other processes and their realization in the real world. In the construction industry, Industry 4.0 is only at the beginning phases of utilization, especially the area of a highwayroad reconstruction, which provides an extremely high potential for process optimization. This was confirmed, for example, in the ASFALT project: Advance Galileo Navigation System for ASPHALT's fleet machines (ID: 247976, Funded under: FP7-TRANSPORT). This paper introduces the methodology of complex robotic and automation process of the pavement repair according to the industry 4.0 principles, which uses Exact Street DNA navigation, patented hybrid GNSS based technology for precise millimetre navigation of road milling machines. The DNA navigation achieves millimetre height accuracy using an inexpensive GNSS receivers. The pavement repair process often takes place in urban canyons areas, which is why the 3D data is enhanced by GNSS Galileo and EGNOS.

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

Insufficient parking capacities trouble almost every city today. The demand for parking space is considerably higher than the supply and since creating new parking facilities is economically very challenging, it is important to look for ways to make the most of the existing parking space, especially as on-street parking is regarded. The aim is therefore to apply systems for efficient use of existing parking space, focusing in particular on monitoring the occupancy of parking space and providing the information to drivers. A large-scale pilot project was implemented in Uherské Hradiště in the second half of the year 2017. It involved testing of features and subsystems for parking management as well as monitoring the turnover and occupancy of parking spaces in the city. This article describes the course of the pilot project, the employed detection and action elements of the system and also deals with the evaluation and the outcomes of the pilot testing.

2018

2018

Studie „Vyhodnocení obrátkovosti, obsazenosti a respektovanosti parkování v Uherském Hradišti – I etapa“ je hlavním výstupem dopravního průzkumu, který byl ve městě realizován v termínu od 15.10. – 18.10. Jedná se o komplexní dopravní průzkum parkování ve městě ve vymezené lokalitě rozdělené do sedmi stěžejních posuzovaných oblastí. Cílem této studie je udat čtenáři ucelený přehled o obsazenosti, obrátkovosti a respektovanosti parkování v Uherském Hradišti prostřednictvím komplexního statistického vyhodnocení při-praveného průzkumu s odborným komentářem. Studie může sloužit jako podklad pro strategii města v oblasti parkování v centru města.

2017

Tento dokument slouží jako doprovodná studie v rámci SGS projektu Dynamické jízdné v systémech veřejné hromadné dopravy. Dokument obsahuje podrobný popis jednotlivých dopravních systémů VHD v České republice. Součásti tohoto dokumentu je jako příloha přiložena databáze podrobných analyzovaných tarifních dat daných dopravních systémů.

2017

Dokument se zabývá navržením prvků dynamického jízdného a metodiky jejich možného využití v různých tarifních systémech. Tyto prvky jsou podloženy podrobnými analýzami, zkoumáním a porovnáváním jízdních tarifů na území České Republiky.

2017