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.

Nowadays, when a traffic flow increases extremely and cities are more and more congested by vehicles, the information about unexpected events (use-cases) occurred during travels has a big added value. Some of the use-cases are currently defined and can be directly sent to a driver via C-ITS messages. This is crucial in the field of smart cities because there is an effort to reduce emissions, to decrease traffic accidents and make traffic safer, fluent and efficient. Before the whole C-ITS system will be deployed, there is a need to evaluate itself. This paper provides general information about a model of the system and its parts as well as methods for testing and technical evaluation primary based on the log-analysis of the C-ITS communication.

Detection of stress and the development of innovative platforms for stress monitoring have attracted significant attention in recent years due to the growing awareness of the harmful effects of stress on mental and physical health. Stress is a widespread issue affecting individuals and often goes unnoticed as a health concern. It can lead to various negative physiological conditions, including anxiety, depression, cardiovascular diseases and cognitive impairments. The aim of this paper is to provide an overview of studies focusing on embedded devices for non-invasive stress detection, primarily in the form of a modified computer mouse or keyboard. This study not only fills a critical gap in the literature but also provides valuable insights into the design and implementation of hardware-based stress-detection methods. By focusing on embedded devices, specifically computer peripherals, this research highlights the potential for integrating stress monitoring into everyday workplace tools, thereby offering practical solutions for improving occupational health and well-being.

This paper describes predictive diagnostics used in a process of telematic systems maintenance focusing on the checkup and potencials for improvements in road tunnel constructions. For this we have chosen the tunnel constructions as the most suitable ones from the telematic systems as they contain huge amount of technologies, systems and subsystems. Tunnel constructions is from its nature complex system providing large amounts of data and many device status and other reports. Actual tunnel status is fundamentally influenced by the operation, the state of technological equipment and, last but not least, by the activity of the operators responding to emergencies, solving normal operation states and planned or operative maintenance. Each part of the tunnel technological equipment requires for its correct operation specific actions, which are planned as a coherent set of rules and operating regulations based on alarms from the technical equipment, evaluation of traffic data and operators' knowledge. This is also applicable to any telematics system that consists of several subsystems or is a larger system based on a distributed diagnostic system.