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Public Transportation Lines classification by GNSS data
Pizur, Jaroslav ; Lázna, Tomáš (oponent) ; Jílek, Tomáš (vedoucí práce)
The subject of this thesis is digitalization of bus transportation. The input is represented by a sequence of GNSS data which are transformed to the OpenStreetMap format. Doing so, it is enriched by the information OpenStreetMap format provides and it gains its positional advantages as well. Then this thesis deals with ways by which one can detect bus lines from this general sequence of GNSS coordinates. A bus line is recognized as a repeating trajectory, which satisfies criteria derived from its expectable or defined characteristics. A few clustering solutions are proposed and tested for their performance. On the basis of this testing, there is one solution chosen as the best performing one, to be the proposed solution of this thesis. The overall output will therefore be formed by automatic mapping of bus lines with no theoretical area limit and with minimum manual intervention needed. It lays the foundations for various intelligent real-time processes to be implemented as well as allowing for infrastructure to be processed for the statistics purposes or urban planning.
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Logging application Mnemosyne
Pizur, Jaroslav ; Šedivá, Soňa (oponent) ; Pikula, Stanislav (vedoucí práce)
The goal of this bachelor's thesis is creation of an application called Mnemosyne, which will be able to measure different types of measurement on each of NI 9219 four input channels. The application can log the data to a TDMS file and at the same time is able to write parameters and settings to its header. Thus every measurement is fully documented and application is able to reproduce any measurement by loading the header of any previously created file. The application is then tested for two different types of measurement on two distinct channels.
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Public Transportation Lines classification by GNSS data
Pizur, Jaroslav ; Lázna, Tomáš (oponent) ; Jílek, Tomáš (vedoucí práce)
The subject of this thesis is digitalization of bus transportation. The input is represented by a sequence of GNSS data which are transformed to the OpenStreetMap format. Doing so, it is enriched by the information OpenStreetMap format provides and it gains its positional advantages as well. Then this thesis deals with ways by which one can detect bus lines from this general sequence of GNSS coordinates. A bus line is recognized as a repeating trajectory, which satisfies criteria derived from its expectable or defined characteristics. A few clustering solutions are proposed and tested for their performance. On the basis of this testing, there is one solution chosen as the best performing one, to be the proposed solution of this thesis. The overall output will therefore be formed by automatic mapping of bus lines with no theoretical area limit and with minimum manual intervention needed. It lays the foundations for various intelligent real-time processes to be implemented as well as allowing for infrastructure to be processed for the statistics purposes or urban planning.
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Logging application Mnemosyne
Pizur, Jaroslav ; Šedivá, Soňa (oponent) ; Pikula, Stanislav (vedoucí práce)
The goal of this bachelor's thesis is creation of an application called Mnemosyne, which will be able to measure different types of measurement on each of NI 9219 four input channels. The application can log the data to a TDMS file and at the same time is able to write parameters and settings to its header. Thus every measurement is fully documented and application is able to reproduce any measurement by loading the header of any previously created file. The application is then tested for two different types of measurement on two distinct channels.
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