Prethodno priopćenje
https://doi.org/10.7307/ptt.v29i6.2369
Application of Google-based Data for Travel Time Analysis: Kaunas City Case Study
Vytautas Dumbliauskas
; Vilnius Gediminas Technical University
Vytautas Grigonis
; Vilnius Gediminas Technical University
Andrius Barauskas
; Vilnius Gediminas Technical University
Sažetak
Recently, new traffic data sources have emerged raising new challenges and opportunities when applying novel methodologies. The purpose of this research is to analyse car travel time data collected from smartphones by Google Company. Geographic information system (GIS) tools and Python programming language were employed in this study to establish the initial framework as well as to automatically extract, analyse, and visualize data. The analysis resulted in the calculation of travel time fluctuation during the day, calculation of travel time variability and estimation of origin-destination (OD) skim matrices. Furthermore, we accomplished the accessibility analysis and provided recommendations for further research.
Ključne riječi
Kaunas City; Google Traffic Data; Python; Skim Matrix
Hrčak ID:
192586
URI
Datum izdavanja:
21.12.2017.
Posjeta: 2.652 *