National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
USE OF THE SHAPE OF THE TRANSPORT NETWORK FOR EVALUATION OF THE SERVICE ACCESSIBILITY
Černický, David ; Štych, Přemysl (advisor) ; Laštovička, Josef (referee)
This thesis deals with factors influencing the average speed on Czech roads. Curvature and inclination of the slopes were selected among the main factors influencing the average speed. Until now, these factors have been considered at discrete intervals, not as continuous functions. The function for calculating the curvature is based on ČSN 73 6101, where the equation with all variables is directly defined. The functional relationship for the movement of vehicles in sloping terrain was created from data from scientific articles. Therefore, an algorithm was implemented in this thesis, which can automatically evaluate the average speed on the road network. Python was used to implement this algorithm. Furthermore, there is a testing section for travel times, which is validated using route planners and also supported by extensive field research. Testing took place in GIS using network analysis methods. Testing has shown that the inclusion of curvature and inclination will significantly improve the calculation of travel times. key words: network analyst, curvature, gis, algorithm
Deviatility of roads in network analysis with the use of GIS
Bartoš, Jan ; Hudeček, Tomáš (advisor) ; Jaroš, Jakub (referee)
The key of presented diploma thesis is to find a way to take shape of roads into account when performing network analysis. Methods of mathematical representation of shape of lines are discussed; the curvature is chose for later use. Then the relation between road's curvature and speed is discussed - the model for setting the speed is suggested. Important part of the thesis is focused on implementation in GIS. Designed model is implemented by Python in the ArcGIS for Desktop. Due to testing on specific examples, it was confirmed, that the taking the shape characteristics into account provides high précising of network analysis.

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