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.

Many smart city applications work with calculated position and time using the Global Navigation Satellite System (GNSS) signals for enhanced precision. However, there are many places where the availability of GNSS is limited, e.g., road tunnels, which are an essential part of transport infrastructure. Tunnels also require greater attention and greater importance of approaches to ensure the safety and security aspects of traffic. The safety, distribution of information, awareness, and smooth traffic can also be ensured by V2X applications, but the current position is also needed. An experimental analysis of data connection and communication availability was performed in the Blanka tunnel (Prague) and its surroundings. The main objective of the work was to find and clearly describe the tunnel blind spots, with an emphasis on communication between cars and potentially between cars and infrastructure. This article summarizes the evaluation results of the V2X tunnel experimental test, the outputs from the analysis of these blind spots, and it provides a future perspective and suggestions that make tunnels smart by using advanced positioning approaches.

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.

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.