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The Benefits of Open Data in Urban Traffic Network · Study

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ChapterThe Benefits of Open Data in Urban Traffic Network

Miroslav Vujić2021

Chapter2021

The Benefits of Open Data in Urban Traffic Network

Miroslav Vujić · Luka Dedić · Martina Tomičić Furjan · Igor Pihir

2 citations·0/0 files stored·EAI/Springer Innovations in Communication and Computing

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Smart Cities and Technologies E-Government and Public Services Transportation Systems and Logistics

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References

2011Estimating Origin-Destination Flows Using Mobile Phone Location Data 2014Development of origin–destination matrices using mobile phone call data 2013Urban link travel time estimation using large-scale taxi data with partial information 2013Intriguingly Simple and Fast Transit Routing 2016Headway-based bus bunching prediction using transit smart card data 2016Data-Driven Transit Network Design From Mobile Phone Trajectories 2015GPS-Data Analysis of Munich's Free-Floating Bike Sharing System and Application of an Operator-based Relocation Strategy 2009Service reliability measurement framework using smart card data : application to the London Underground

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2019Evaluating Origin–Destination Matrices Obtained from CDR Dataarticle · 3 shared references 2020A Data Driven Approach to Match Demand and Supply for Public Transport Planningarticle · 3 shared references 2018Human mobility: Models and applicationsarticle · 2 shared references 2014Development of origin–destination matrices using mobile phone call dataarticle · 2 shared references 2015The path most traveled: Travel demand estimation using big data resourcesarticle · 2 shared references 2017Applying mobile phone data to travel behaviour research: A literature reviewarticle · 2 shared references

Details

Year2021

Typechapter

Published2021-08-02

VenueEAI/Springer Innovations in Communication and Computing

ISSN-L2522-8595

Languageen

Citations2

Files0 public / 0

ShelfSmart Cities and Technologies

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doi10.1007/978-3-030-67241-6_22

openalex_workW3191321728

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