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QZTool—Automatically Generated Origin-Destination Matrices from Cell Phone Trajectories · Study

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ChapterQZTool—Automatically Generated Origin-Destination Matrices from Cell Phone Trajectories

Christopher Horn2016

Chapter2016

QZTool—Automatically Generated Origin-Destination Matrices from Cell Phone Trajectories

Christopher Horn · Heimo Gursch · Roman Kern · Michael Cik

24 citations·0/0 files stored·Advances in intelligent systems and computing

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Data Management and Algorithms

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References

2014Discrete Choice Analysis 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data 2014Development of origin–destination matrices using mobile phone call data 2011Transportation mode detection using mobile phones and GIS information 2007Deriving origin–destination data from a mobile phone network 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records 2011Estimation of origin-destination matrix from traffic counts: the state of the art

Cited by

2021Detecting Home and Work Locations from Mobile Phone Cellular Signaling Data 2024Towards a transformation in urban commuting analysis with high-precision mobile phone signaling data: Identifying commuting characteristics based on individual scale 2025An integrated method for inferring multimodal travel mode choices using mobile network data 2023Decomposition of travel time expenditure through individual mobility trajectories based on mobile phone signaling data 2024

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2019Cell Phone based Origin-Destination Matrices for Transport Modellingarticle · 7 shared references 2020From cellular positioning data to trajectories: Steps towards a more accurate mobility explorationarticle · 6 shared references 2020Urban sensing based on mobile phone data: approaches, applications, and challengesarticle · 5 shared references 2016Travel demand estimation and network assignment based on cellular network dataarticle · 5 shared references 2015Exploring the potential of phone call data to characterize the relationship between social network and travel behaviorarticle · 5 shared references 2021A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Dataarticle · 5 shared references

Details

Year2016

Typechapter

Published2016-07-06

VenueAdvances in intelligent systems and computing

ISSN-L2194-5357

Languageen

Citations24

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/978-3-319-41682-3_68

openalex_workW2474510675

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Estimating traffic demand of different transportation modes using floating smartphone data

2025Understanding tourism travel behavior by combining revealed preference survey and mobile phone data

2022Improved F-DBSCAN for Trip End Identification Using Mobile Phone Data in Combination with Base Station Density

2025Disaggregate travel demand analysis using big data sources: unsupervised learning methods for data-driven trip purpose estimation