Research and Development

Project Objectives

The project focuses on research, development, and integration of advanced technologies such as electromobility, autonomous vehicles, intelligent transport systems, and sustainable energy for the mobility needs of people and goods. The feasibility study analyzes the technical, economic, social, and environmental aspects of the project. The project results will significantly contribute to a sustainable future and a better environment for all.

Publicly Available Information:

https://sites.google.com/vutbr.cz/item/domu

Project Objectives

The project includes an analysis of legislation, technological advancements, and application possibilities of spatial syntax for security planning. The output will be a methodological procedure and supporting materials for the development of a software tool enabling the efficient design of a safer urban environment.

Project Objectives

The goal of the project is to implement a system that enables the commercial introduction of cooperative vehicle control and autonomous transport technologies earlier than would be possible with the ITS-G5 standard, even in locations without an electricity supply. It leverages specific characteristics of 5G networks, such as reliability, low energy consumption, and the ability to support a large number of interconnected IoT sensors. The system consists of off-grid sensor nodes, server infrastructure processing data using AI-based algorithms, and a library for mobile applications displaying relevant information to the driver. The system will be tested in a designated area for automated vehicle testing near Ingolstadt. The testing will also involve an automated vehicle from the project partner (THI).

Publicly Available Information:

https://starfos.tacr.cz/cs/projekty/FW08010039

Project Objectives

The aim of the project is to determine the optimal composition of automated vehicles adhering to different ethical principles in varying degrees within the observed area to ensure optimal traffic flow and throughput. Through traffic microsimulations and parametric settings of vehicle behavior using an implemented parametric model of ethical principles, the nature of interactions between vehicles and the degree of their influence on traffic characteristics will be analyzed from the perspective of flow, capacity, and traffic safety. The project will identify the appropriate distribution of vehicle behavior for different traffic situations, forming the basis for a methodology applicable, for example, in evaluating automated systems during vehicle testing and approval processes.

Publicly Available Information:

https://starfos.tacr.cz/projekty/CK04000150

Project Objectives

The project aims to efficiently reduce the need for individual automobile transport (IAD), which often arises where it is inefficient for transport companies to establish public transport routes—on low-demand routes. This can be achieved by deploying automated minibuses (AM) in a Mobility-on-Demand (MoD) model. This creates a need for their efficient management and supervision. The project focuses on developing a semi-automated control center ensuring the efficient and safe operation of AMs. A dynamic route generation system for AM lines will be developed, utilizing passenger demand predictions. The research also involves technology for identifying incidents inside the vehicle and methods for remote control, which are essential for the safe and reliable operation of AMs from both passenger and road user perspectives.

Publicly Available Information:

https://starfos.tacr.cz/projekty/FW06010535?query=6doiaacjv6gq

Project Objectives

The goal of the project is to develop and test a simulation tool for monitoring and managing recycling technologies using a digital twin for existing pilot-scale water recycling units at the Brno-Modřice wastewater treatment plant. Innovations include the implementation of advanced sensors, the creation of a digital twin for pilot units, and the development of alternative self-learning algorithms to establish a steady state and simulate dynamic behavior. By correlating monitored variables, we will create soft sensors for pollution monitoring and recycling efficiency simulation, enabling the prediction and minimization of risks for the application of recycled water according to EU Regulation 2020/741. The output will be a digital twin module integrated into a comprehensive solution in the field of recycling technologies.

Publicly Available Information:

https://starfos.tacr.cz/projekty/FW06010567#project-main

Project Goals

The project focused on developing a service for designing security measures based on software modeling of pedestrian movement in soft targets, category III buildings, and public spaces. The goal was to create a feasibility study analyzing legislation, technical standards, and modeling possibilities, and to develop a methodology for interpreting simulation results. These simulations helped optimize escape routes, allocate security forces, and enhance public safety. The project also included practical testing of the service, with outputs utilized in architectural offices, public administration, and the private sector.

The service targets stakeholders of the following objects and spaces:

• •Soft Targets – According to the Soft Target Protection Guidelines.
• •Category III Buildings – As defined by the Building Categorization Regulation.
• •Public Spaces – As defined by the Municipal Law.
• •Venues for Public Events – According to the Public Event Protection Guidelines.

These stakeholders include:

• •Project Offices – Planning specific buildings or spaces
• •Operators/Owners – Specific buildings or spaces
• •Municipalities and Public Administration – Buildings and public spaces
• •Organizers of public events
• •Others such as investors or insurance companies

Project Goals

Existing tools for mathematical modeling of pedestrian traffic flow provide high-quality analytical outputs, but their visual representation in 3D animations is either purely technical, using circles or cylinders, or very simplified animations of 3D human models. This negatively impacts comprehension and presentation to the general public and significantly limits the use of virtual reality. The project aimed to eliminate these visualization shortcomings by creating a tool to present statistical and numerical outputs in a modern graphical virtual reality environment. The goal was to achieve a photorealistic graphical level that would be both precise in relation to the mathematical simulations and user-friendly.

Publicly Available Information:

https://starfos.tacr.cz/projekty/FW06010581?query=6doiaacjv6gq

Project Goals

The project resulted in the creation of a digital twin of a water treatment plant (WTP), enabling simulations of technological and procedural measures for various operational states, management of documentation for mechanical and technological units of the WTP, and most importantly, risk management of operations. A 24-hour prediction of raw water quality using a neural network algorithm helped mitigate operational risks. Predictive knowledge of input parameters for the water treatment process, along with an expert simulation module in a mathematical model, enhanced the robustness of the critical infrastructure system, ensuring the continuous supply of high-quality drinking water to the population. Simulations in the digital twin were conducted in real-time on a testing authority infrastructure, allowing for the testing of various operational and emergency scenarios.

Publicly Available Information:

https://starfos.tacr.cz/projekty/VB01000006?query=6doiaacjv6gq

VDT Product

Twin Skin  - Digital twin of a water treatment plant

The application provides a practical and efficient tool for managing and monitoring a water treatment plant.

Project Goals

Project VB01000034 – Digital Modeling of Evacuation Plans in Targeted Buildings and Soft Targets with AI Elements focused on developing and testing a software platform for modeling emergency situations to improve and optimize evacuation measures in targeted buildings and soft targets. The platform’s core was a software for pedestrian movement simulation, enhanced with software analysis of real video recordings to calibrate the behavioral model of simulations. The project’s outputs were applied not only in crisis management but also in organizing public events and building regulations.

Publicly Available Information:

https://starfos.tacr.cz/projekty/VB01000034

Project Goals

The motivation for the creation of the CAMEB center is the depletion and thinning of non-renewable natural resources, both material and energy, and the impact of this phenomenon on construction. While the current trend of energy-efficient buildings brings massive improvements in operational energy use, the material and energy demands of the construction phase itself sharply increase. CAMEB brings together partners with competencies that enable more efficient/sustainable use of resources in construction through lifecycle optimization of buildings, based on knowledge and circular economy principles. Modern technologies in digitization, optimization, modeling, and efficient process management will be used.

Optimization of Camera System Component Design Using Building Information Modeling (BIM)

CAMEB (REBUILD project) - Verifying how building information models (BIM) can be used to optimize the design of security systems that monitor human movement or behavior using metadata extracted from camera systems. The goal is to analyze the design methods for security system components during the preparation and construction phases and propose optimizations using BIM data for design, including its potential use in the building’s operation and management phase. The main objective is to verify procedures and models that lead to efficient camera system placement with maximum space coverage and minimal disruptive elements resulting from uncoordinated designs.

More information about the REBUILD project

CAMEB CENTER was established in 2019 through the collaboration of Czech Technical University in Prague, Brno University of Technology, and twenty-eight other partners – universities and primarily private companies. The aim was to create a center focusing on innovations in construction – in addition to continuously improving existing technologies, materials, and processes, we also aim to connect construction with other fields, especially information technologies, cybernetics, and process management, in line with general industrial trends.

More information about CAMEB Center

Results of the CAMEB REBUILD Project

In the project focused on optimizing the design of CCTV system components using BIM, we developed a tool for transforming image recordings into calibration inputs for behavioral movement models, which was then verified on a building model. This tool will be used in implementing behavioral modeling technology by VDT Technology, in collaboration with internal or external fire safety project document processors, especially for buildings with increased fire risk (category III according to the Fire Safety Regulation No. 460/2021 Sb.).

Results of the CAMEB REBUILD II Project

The CAMEB Rebuild project focused on integrating BIM with virtual reality (VR) using Unreal Engine. The aim was to create an effective tool for audiovisual communication and collaboration in construction. Project results include:

1. Verified BIM and VR Integration Technology:

Connecting BIM models with the Unreal Engine VR platform allows interactive work with models, including geometry and metadata transfer.

2. Software Tool for Audiovisual Communication:

The tool enables sharing virtual environments between users on different platforms, including PC/Mac and VR devices. Users can interact, move, and manipulate building models in the virtual world.

3. Expert Book:

A publication focusing on the use of VR in building design, covering topics such as representation, planning, work coordination, and safety analysis.

Information on CAMEB REBUILD II results

Publicly Available Information:

https://starfos.tacr.cz/projekty/TN01000056?query=6doiaacjv6gq

Project Goals

The project aimed to create an intelligent algorithm to predict the quality and quantity of wastewater flowing into wastewater treatment plants. This prediction, spanning from hours to days, enabled operational measures to reduce the risk of pollution emissions, including simulation scenarios and risk analysis. The algorithm used cloud computing and machine learning. Based on in-depth analysis of available wastewater data (qualitative and quantitative data, recurring events such as days of the week, seasons, along with precipitation forecasts), a neural network was created capable of predicting the quality of incoming wastewater. This knowledge allowed for the creation of a database of operational measures for wastewater treatment plants, simulating their effects, and thus eliminating the risk of exceeding emission limits in aquatic ecosystems.

Publicly Available Information:

https://starfos.tacr.cz/projekty/SS01020210?query=6doiaacjv6gq

VDT Product

WST  - Water Scan Toolbox

The Water Scan Toolbox (WST) application is a soft sensor that allows the prediction of the quality of wastewater inflow to a wastewater treatment plant.

Project Goals

The project aimed to create an integrated software environment, within which an automated algorithm was developed for advanced analysis of data from remote monitoring devices. This algorithm allows the identification of clinically significant episodes associated with the risk of sudden cardiac death or clinical deterioration, assessing their clinical significance, and assigning priorities for diagnostic-therapeutic intervention. The software also includes a user interface that conveys the resulting information to end-users in an appropriate way.

Project completed. MDR management currently underway (New European Medical Device Regulation). Expected completion date: end of 2025.

Project Solution Subject

The project focused on developing and applying software as an automated algorithm for remote real-time monitoring of patients and subsequent prioritization and individualization of alerts based on severity assessment and clinical response recommendations.

Publicly Available Information:

https://starfos.tacr.cz/projekty/FW02020232

VDT Product

ePace 

The ePace application is primarily developed for remote monitoring of parameters collected from implantable cardiac devices.