Application of Google-based data for travel time analysis: Kaunas city case study

Dumbliauskas, Vytautas; Grigonis, Vytautas; Barauskas, Andrius

doi:10.7307/ptt.v29i6.2369

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/119456

Application of Google-based data for travel time analysis: Kaunas city case study

Details

Publication Type (CRIS)

Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)

Publication Type (eLABa)

Straipsnis Web of Science DB / Web of Science DB article (S1)

VILNIUS TECH Research Priorities and Topics

Transporto sistemų ir eismo modeliavimas, optimizavimas, sauga ir valdymas / Transport systems and traffic modeling, optimization, safety and management (TD03)

Lithuanian Intelligent Specialization

Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies (L106)

Author(s)

Author	Affiliation
Dumbliauskas, Vytautas	Kelių katedra / Department of Roads (0322)
Grigonis, Vytautas	Kelių tyrimo institutas / Road Research Institute (0353)
Barauskas, Andrius	Kelių katedra / Department of Roads (0322)

Title

Application of Google-based data for travel time analysis: Kaunas city case study

[en]

Vytautas Dumbliauskas, Vytautas Grigonis, Andrius Barauskas

Title in other language

Közforgalmi közösségi közlekedés előnybe részéseítésének gazdasági elemzése: buda-pesti esettanulmány

[en]

Is part of

Promet – Traffic&Transportation

Published In

Year	Volume	Issue	Start Page	End Page
2017	29	6	613	621

Publisher

Zagreb : University of Zagreb

Publisher (trusted)

University of Zagreb

Referenced in Database(s)(DBs)

Science Citation Index Expanded (Web of Science)

SCOPUS

FLUIDEX

GEOBASE

Extent

p. 613-621

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/119456
https://traffic2.fpz.hr/index.php/PROMTT/article/view/2697/1584	Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access)
https://traffic2.fpz.hr/index.php/PROMTT/article/view/2697	Dokumento santrauka/dalis

DOI

10.7307/ptt.v29i6.2369

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Transporto inžinerija / Transport engineering (T003)

Statybos inžinerija / Civil engineering (T002)

Keywords (en)

Abstract (en)

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.