People
Ing. Marek Kalika, Ph.D.

Ing. Marek Kalika, Ph.D.; Ing. Jan Krčál, Ph.D.; Ing. Alena Kubáčová

In this two-year project, we are focusing on the development of an innovative sensor for passive mobile crowdsensing, its software configuration, and the creation of a methodology for optimal processing and analysis of acquired data. The main objective is to create a dynamic model that will be used to optimize various aspects of public mass transportation and its monitoring. In the first year of the project, we will concentrate on assembling and testing the sensor using Raspberry Pi 5 and developing customized software for data collection and filtering. The sensor will be specifically designed for efficient passive capture of Probe Requests from Wi-Fi frames of mobile devices of passengers and will be capable of storing, filtering, and sending preprocessed data to a server. The second year of the project is dedicated to the analysis of gathered data and the creation of a model for real-world use in public transportation systems. The goal is to efficiently identify passengers, create their travel routes, and establish transportation flows. During this process, emphasis will be placed on recognizing device types based on MAC addresses, incorporating MAC address randomization, and using de-randomization algorithms for more accurate device identification. Possible collaboration with the Institute of Logistics and Transportation Management at the Faculty of Transportation and the Institute of Microelectronic Applications brings additional value to the project in terms of expertise and the opportunity to implement results in a real-world environment. This ensures that the research will not be purely theoretical but will also have a practical impact. The project results will be presented at international conferences and published in prestigious scientific journals, allowing for the dissemination of knowledge and increasing the visibility and significance of the research. This effort will contribute to strengthening the position of the Faculty of Transportation as an in

2024 - 2025

Studentská grantová soutěž ČVUT - SGS24/105/OHK2/2T/16

Ing. Marek Kalika, Ph.D.; Ing. Jan Procházka

The project "Qualification of objects using FMCW radars to increase safety in the external environment" responds to current challenges in the field of autonomous vehicles, where optical sensors are often used to detect obstacles. These sensors are effective in ideal lighting and climate conditions, but their functionality is limited in more demanding conditions, such as poor lighting conditions or extreme climatic conditions. This project presents FMCW radar technology as a possible solution to these limitations, as radar sensors are not dependent on light conditions. The goal of the project is the development and implementation of FMCW radar systems capable of identifying and classifying objects in various outdoor environments. The benefit is a possible increase in the safety of traffic participants in outdoor environments such as industrial sites and spaces where different traffic flows meet people or animal creatures. The project focuses on the implementation of radar sensors that are able to distinguish objects. The emphasis is placed on the integration of radar systems into existing security and monitoring systems, including the development of algorithms for the processing and analysis of radar data. With the goal of creating technologies to create a safe environment where autonomous vehicles and other agents can coexist without the need for physical separation. The output of this project is the creation of a separate technology that can recognize at least three types of objects and, at the same time, classify their movement.

2024 - 2025

Studentská grantová soutěž ČVUT - SGS24/104/OHK2/2T/16

Ing. Marek Kalika, Ph.D.; Ing. Bc. Petr Kumpošt, Ph.D.; Ing. Ondřej Malík

Technological progress allows us to use new methods to surveil and measure traffic flow. The ability to measure more specific parameters brings an enhanced description of reality. Therefore we can substitute original mathematical models during the process of designing and controlling road infrastructure. These models are getting less precise compared to directly measured values. Especially the ability to measure critical gaps yields a significant improvement towards calculating the capacity of road intersections. The outcome of this project will contribute towards more effective modeling of traffic infrastructure.

2020 - 2021

Studentská grantová soutěž ČVUT - SGS20/139/OHK2/2T/16

Ing. Jakub Frolec; doc. Ing. Josef Kokeš, CSc.

*The intention of the project is the research and development of the system for common identification and localization of persons and things. This system enables the utilization of infrastructure networks and NFC mobile technology in order for identification data processing.

Director's Office

2010 - 2013

TIP

2001 - 2001

IGS ČVUT - 300115216