Application of Google-based Data for Travel Time Analysis: Kaunas City Case Study

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 l...

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Bibliographic Details
Published inPromet Vol. 29; no. 6; pp. 613 - 621
Main Authors Dumbliauskas, Vytautas, Grigonis, Vytautas, Barauskas, Andrius
Format Journal Article Web Resource
LanguageEnglish
Published Fakultet prometnih znanosti Sveučilišta u Zagrebu 21.12.2017
University of Zagreb, Faculty of Transport and Traffic Sciences
Subjects
Google Traffic Data
Kaunas City
Python
Skim Matrix
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Summary: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.
Bibliography:192586
ISSN:0353-5320
1848-4069
DOI:10.7307/ptt.v29i6.2369