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Pedestrians Protection and Car Passengers Safety
Švancara, Jan ; Svída, David (referee) ; Ramík, Pavel (advisor)
This bachelor thesis deals with the protection of pedestrian and passenger safety in vehicles. It describes the different elements of protection and deals with tests to verify the level of protection. It gives examples of the future direction of development of technologies to improve the protection of pedestrians and passengers in vehicles.
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Design of outlet and intake objects of Nové Heřminovy dam
Neuvirt, Petr ; Švancara, Jiří (referee) ; Zachoval, Zbyněk (advisor)
In this thesis was presented Nové Heřminovy dam with basic parameters. Requirements on bottom outlets and intake objects are presented as well. Analysis of used valves on all dams in Czech Republic was done as an underlay for suggestions of bottom outlets in this thesis. The main task was to suggest three variations of bottom outlets. Differences are in number of outlets, dimensions, placing and valves. Then variation of intake objects. Each of variation was verbally described and filled with calculations.
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Comparison of proposed measures in Brantice–Kostelec section of river Opava
Korálová, Nikola ; Švancara, Jiří (referee) ; Zachoval, Zbyněk (advisor)
Diploma thesis deals with comparison of flow influenced by proposed measures with current status in Brantice-Kostelec section of the river Opava. The results of two-dimensional numerical model of steady uniform flow were used to assess the flow. The models were created using SMS – FESWMS for both of conditions. Thesis contains description of current status, design status, the theory of numerical modelling, comparison of the flow and evaluation of results.
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Constructing policies for multi-agent path finding
Mestek, Jakub ; Barták, Roman (advisor) ; Švancara, Jiří (referee)
The thesis deals with the Multi-Agent Path Finding problem. The task is to find for each agent a path from its current location to its destination in such a way that agents will not collide. A novel approach to solving this problem in non-deterministic environment is suggested. That is to look for a solution in form of policies that prescribe which action the agent should perform in given situation. 1
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Group navigation in RTS games using flow networks over flow field regions
Koblížek, Jan ; Gemrot, Jakub (advisor) ; Švancara, Jiří (referee)
This thesis explores the challenges of implementing effective navigation for groups of units in real-time strategy computer games, specifically focusing on the movement of large numbers of homogeneous units across a two-dimensional grid-based map. The thesis presents a pathfinding algorithm that could be used in RTS games. The algorithm enables the units to utilize multiple paths effectively by modeling the unit navigation as a flow network problem. The units use precomputed flow fields during the navigation. This allows for faster pathfinding times by offloading part of the computation to the preprocessing. The algorithm's performance is evaluated against a baseline solution using the A* algorithm and other existing solutions. Comparative analysis will be conducted utilizing maps from the Moving AI 2D Pathfinding Benchmark dataset to assess the efficacy of the proposed solution. 1
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The Effectiveness of Centralized Planning for Intersections
Cizl, Eliáš ; Švancara, Jiří (advisor) ; Ivanová, Marika (referee)
Vehicle navigation on roads is a complex problem that will probably be solved by using artificial intelligence in key roles. Today, there are cars capable of autonomous driving, but they are dependent on an old infrastructure that primarily includes intersections designed for human drivers. This thesis opens a new chapter in the area of autonomous intersection management (AIM). Most research to date has only looked at how best to implement a solution for a single intersection. We have created a simulation that runs in real time, where up to several dozen intersections appear side by side. In this work, we conduct experiments where we test different layouts of the autonomous algorithms along with traffic lights. Autonomous intersections clearly win with their efficiency, and in larger cities it's most advantageous to deploy them at the busiest intersections. 1
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Autonomous traffic junction
Kotal, Jiří ; Barták, Roman (advisor) ; Švancara, Jiří (referee)
Práce se zabývá problematikou průjezdů vozů plně automatizovanou křižovatkou a to z pohledu multi-agentního hledání cest (MAPF, multi-agent path finding). Cílem je pro- zkoumat různé abstrakce křižovatky a různé přístupy pro hledání nekolizního průjezdu křižovatkou. Zkoumané techniky jsou implementovány a empiricky porovnány v simulo- vaném prostředí. 1
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Reduction-based Solvers for Multi-agent Pathfinding: Comparing Different Models
Ramesh, Samyuktha ; Švancara, Jiří (advisor) ; Barták, Roman (referee)
- Samyuktha Ramesh Thesis Title: Reduction-based Solvers for Multi-agent Pathfinding: Comparing Different Models Multi-agent path finding (MAPF) is the problem of navigating a set of agents from their starting position to their respective goal position without any collisions. In this thesis, we provide an overview of the current approaches to solving MAPF. We implement six different encodings found in the literature using the Python programming language and the Glucose3 SAT solver. We run experiments on maps of different types and sizes to compare the performances of the encodings.
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SPACs and IPOs: Consequences on Short-term and Long-term performance
Švancara, Jan ; Kurka, Josef (advisor) ; Čech, František (referee)
This thesis investigates disparities in stock exchange performance with regard to businesses that were unprofitable before becoming public. These firms were divided into two samples; the first sample was made up of firms that entered the market through an Initial Public Offering (IPO), while the second sam- ple was composed of firms that accessed the market through a Special Pur- pose Acquisition Company (SPAC). Buy-and-hold Abnormal Returns (BHARs) and Cumulative Abnormal Returns (CARs) are two types of abnormal returns used to measure stock market performance. The performance was examined throughout four different time horizons, with two of them being considered short-term and the other two being long-term in this thesis. The results indi- cated that unprofitable SPACs significantly underperform unprofitable IPOs in every time horizon examined. Additionally, a model that forecasts whether a firm is more likely to go public through an IPO or a SPAC was developed. The findings implied that highly-priced companies with a greater debt are more likely to be selected by a SPAC. JEL Classification D22, G34, G15, G11, O51 Keywords SPAC, IPO, unprofitable, performance, nega- tive, income, loss, BHAR, CAR Title SPACs and IPOs: Consequences on Short-term and Long-term performance
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