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Analysis and solution of transport in Znojmo
Kovaříková, Ilona ; Radimský, Michal (referee) ; Matuszková, Radka (advisor)
The thesis focuses on the traffic situation in the district town of Znojmo in the South Moravian Region. The thesis deals with individual traffic modes, especially road traffic and cycling, but also with static traffic (traffic at rest), where parking and optimization design is addressed. The thesis also marginally deals with rail and bus public transport. The first part of the thesis is devoted to the existing state of the individual modes of transport in the entire cadastral area of Znojmo, but since the cadastral area of Znojmo also includes transport in the extravilan, the thesis is mainly focused on transport in the intravilan. The traffic load according to the National Traffic Census of the Regional Directorate of Transport and the degree of motorization from the databases of the Road Vehicle Register of the Ministry of Transport are analysed. In the second part of the thesis, selected problem spots in Znojmo are addressed, and measures for improving the comfort and safety of road users are proposed. Furthermore, parking is addressed, where the city was divided into areas according to functional use and the shortcomings were found and then the optimal solution was proposed.
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Synthetic Data Set Generator for Traffic Analysis
Šlosár, Peter ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.
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Multimodal urban planning with a focus on seniors
Papoušek, Jan ; Čábelka, Miroslav (advisor) ; Štych, Přemysl (referee)
This thesis concerns with the issues of transit analysis in a transit network. In the theoretical part, based on the research of specialized literature, there are suggested parameters for creating a transit network regarding health condition of seniors. In the practical part, there is described the process of creating the transit network, creating parameters of movement in the transit network and analysis of the final ideal route using ESRI ArcGIS 10.5. extension Network Analyst. The final route is compared with the results of other commonly available platforms. Comparison of the results confirmed functionality of set parameters and showed possibilities for further use. Key words: Transit network, network analysis, Network Analyst, ESRI ArcGIS 10.5., routing problem, parameter
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Synthetic Data Set Generator for Traffic Analysis
Šlosár, Peter ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.
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