Automated processing of GNSS track data provides opportunities for effective quantitative visualisation of mobility data. Presented processing tool and its settings for matching GNSS track records to a road network for visualizing passage frequency. Optimal tool parameterization and correctness rate are purposed for three case studies in urban and rural environments. The published work aims to help cartographers to effectively manipulate GNSS data. The functionality of the tool is demonstrated by designing web and paper intensity maps, i.e. graduated-colour and graduated-symbol maps.
Anotace v angličtině
Automated processing of GNSS track data provides opportunities for effective quantitative visualisation of mobility data. Presented processing tool and its settings for matching GNSS track records to a road network for visualizing passage frequency. Optimal tool parameterization and correctness rate are purposed for three case studies in urban and rural environments. The published work aims to help cartographers to effectively manipulate GNSS data. The functionality of the tool is demonstrated by designing web and paper intensity maps, i.e. graduated-colour and graduated-symbol maps.
Klíčová slova
mobility, GPX format, parametrisation, map matching, graduated-colour map, graduated-symbol map
Klíčová slova v angličtině
mobility, GPX format, parametrisation, map matching, graduated-colour map, graduated-symbol map
Rozsah průvodní práce
45
Jazyk
AN
Anotace
Automated processing of GNSS track data provides opportunities for effective quantitative visualisation of mobility data. Presented processing tool and its settings for matching GNSS track records to a road network for visualizing passage frequency. Optimal tool parameterization and correctness rate are purposed for three case studies in urban and rural environments. The published work aims to help cartographers to effectively manipulate GNSS data. The functionality of the tool is demonstrated by designing web and paper intensity maps, i.e. graduated-colour and graduated-symbol maps.
Anotace v angličtině
Automated processing of GNSS track data provides opportunities for effective quantitative visualisation of mobility data. Presented processing tool and its settings for matching GNSS track records to a road network for visualizing passage frequency. Optimal tool parameterization and correctness rate are purposed for three case studies in urban and rural environments. The published work aims to help cartographers to effectively manipulate GNSS data. The functionality of the tool is demonstrated by designing web and paper intensity maps, i.e. graduated-colour and graduated-symbol maps.
Klíčová slova
mobility, GPX format, parametrisation, map matching, graduated-colour map, graduated-symbol map
Klíčová slova v angličtině
mobility, GPX format, parametrisation, map matching, graduated-colour map, graduated-symbol map
Zásady pro vypracování
The aim of the thesis is to find an automated way of processing GNSS track data into a linear layer suitable for multiple methods of quantitative visualization. A student will analyze various approaches and their settings for joining GNSS track records to a linear road network for visualizing passage frequency or other quantitative attributes. After examining the correctness rate of the process, the best workflow for inputting GPX files will be automated and published aiming to help cartographers with the effective processing of data. The functionality will be demonstrated by designing graduated-colour or graduated-symbol maps of the city of Olomouc or a similar area in either digital or analogue form.
The student will attach all created datasets and thesis outputs in digital form. The student will also create a website about the thesis following the rules available on the department's website and a poster about the diploma thesis in A2 format. The student will submit the entire text (text, attachments, poster, outputs, input and output data) in digital form.
Zásady pro vypracování
The aim of the thesis is to find an automated way of processing GNSS track data into a linear layer suitable for multiple methods of quantitative visualization. A student will analyze various approaches and their settings for joining GNSS track records to a linear road network for visualizing passage frequency or other quantitative attributes. After examining the correctness rate of the process, the best workflow for inputting GPX files will be automated and published aiming to help cartographers with the effective processing of data. The functionality will be demonstrated by designing graduated-colour or graduated-symbol maps of the city of Olomouc or a similar area in either digital or analogue form.
The student will attach all created datasets and thesis outputs in digital form. The student will also create a website about the thesis following the rules available on the department's website and a poster about the diploma thesis in A2 format. The student will submit the entire text (text, attachments, poster, outputs, input and output data) in digital form.
Seznam doporučené literatury
[1] Hashemi, M. (2017). A testbed for evaluating network construction algorithms from GPS traces. Computers, Environment and Urban Systems, 66, 96-109.
[2] John, S., Hahmann, S., Rousell, A., Löwner, M. O., & Zipf, A. (2017). Deriving incline values for street networks from voluntarily collected GPS traces. Cartography and Geographic Information Science, 44(2), 152-169.
[3] Jan, O., Horowitz, A. J., & Peng, Z. R. (2000). Using global positioning system data to understand variations in path choice. Transportation Research Record, 1725(1), 37-44.
[4] Duncan, M. J., Badland, H. M., & Mummery, W. K. (2009). Applying GPS to enhance understanding of transport-related physical activity. Journal of Science and Medicine in Sport, 12(5), 549-556.
[5] Ma, Q., & Kockelman, K. (2019). A low-cost GPS-data-enhanced approach for traffic network evaluations. International Journal of Intelligent Transportation Systems Research, 17(1), 9-17.
Seznam doporučené literatury
[1] Hashemi, M. (2017). A testbed for evaluating network construction algorithms from GPS traces. Computers, Environment and Urban Systems, 66, 96-109.
[2] John, S., Hahmann, S., Rousell, A., Löwner, M. O., & Zipf, A. (2017). Deriving incline values for street networks from voluntarily collected GPS traces. Cartography and Geographic Information Science, 44(2), 152-169.
[3] Jan, O., Horowitz, A. J., & Peng, Z. R. (2000). Using global positioning system data to understand variations in path choice. Transportation Research Record, 1725(1), 37-44.
[4] Duncan, M. J., Badland, H. M., & Mummery, W. K. (2009). Applying GPS to enhance understanding of transport-related physical activity. Journal of Science and Medicine in Sport, 12(5), 549-556.
[5] Ma, Q., & Kockelman, K. (2019). A low-cost GPS-data-enhanced approach for traffic network evaluations. International Journal of Intelligent Transportation Systems Research, 17(1), 9-17.
Přílohy volně vložené
-
Přílohy vázané v práci
ilustrace, mapy, schémata, tabulky
Převzato z knihovny
Ne
Plný text práce
Přílohy
Posudek(y) oponenta
Hodnocení vedoucího
Záznam průběhu obhajoby
Student presented data sources, used technologies and background of developed application
Complete new algorithm was developed and described
Practical demonstration of main result was commented
Discussion about specific situations in data inputs