People
Ing. Bohumil Kovář, Ph.D.

show MENU

Projects and Grants

The information comes from the university database V3S.

Principal Investigator:
Dr. Ing. Jan Přikryl
Co-Investigators:
Ing. Bohumil Kovář, Ph.D.; Ing. André Maia Pereira, Ph.D.; doc. Ing. Michal Matowicki, Ph.D.
Annotation:
[preliminary by Google Translate] The project will create a set of components and verify in practice the functioning of a simulation-modeling framework for in-depth analysis of the behavior of intelligent transport systems in cities in real time and for research into urban traffic management strategies with emphasis on cooperative systems. The proposed intelligent transport system will be able to receive data from available sensors (traffic detectors, cameras, cooperative vehicles, pedestrians, other IoT elements of the transport system), consolidate this data into a single structure so that it can be used as input values of traffic simulation. The simulation will run on real-time data and will reflect the current situation in the modeled area. It will therefore be possible to deploy it as an ITS system analyzing in real time the impacts of traffic management decisions. The output of the project is, among other things, the methodology of creating digital transport twins.
Department:
Department of Applied Mathematics
Year:
2021 - 2024
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Principal Investigator:
doc. Ing. Michal Matowicki, Ph.D.
Co-Investigators:
Ing. Bohumil Kovář, Ph.D.; Ing. Jana Kuklová, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.; Dr. Ing. Jan Přikryl
Annotation:
The goal of the VEXA project is the development of an expert system which will be able to substitute reaction and decision-making abilities of train drivers to predefined inputs. The inputs cover different sources, among others sensors monitoring obstacles or fire, or configuration and actual status of the environment. These inputs will be compared to the legislative and operational rules and based on that will provide output to other train control systems. The algorithms will also cover the psychosomatic characteristics of the train drivers. The solution will be based on a detailed system analysis, data collection, definition of interfaces, system architecture and mathematical analysis to assess its impact and operation parameters.
Department:
Department of Applied Mathematics
Year:
2020 - 2022
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+