Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław

Piotr Szymański; Michal Zolnieruk; Piotr Oleszczyk; Igor Gisterek; Tomasz Kajdanowicz

doi:10.1109/tits.2018.2852845

journal article Nov 01, 2018

Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław

Piotr Szymański

Michal Zolnieruk

Piotr Oleszczyk Igor Gisterek Tomasz Kajdanowicz

IEEE Transactions on Intelligent Transportation Systems Vol. 19 No. 11 pp. 3652-3661 · Institute of Electrical and Electronics Engineers (IEEE)

View at Publisher Save 10.1109/tits.2018.2852845

Topics

No keywords indexed for this article. Browse by subject →

References

37

[1]

The Distribution of a Product from Several Sources to Numerous Localities

Frank L. Hitchcock

Journal of Mathematics and Physics 10.1002/sapm1941201224

[2]

monge Mémoire sur la théorie des déblais et des remblais (1781)

[3]

Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?

Fionn Murtagh, Pierre Legendre

Journal of Classification 10.1007/s00357-014-9161-z

[4]

10.1016/0306-4573(86)90097-x

[5]

A typology of street patterns

Rémi Louf, Marc Barthélemy

Journal of The Royal Society Interface 10.1098/rsif.2014.0924

[6]

pele "Fast and robust earth mover’s distances" Proc IEEE 12th Int Conf Comput Vis (2009)

[7]

pele "A linear time histogram metric for improved SIFT matching" Vision Computer (2008)

[8]

mayner PyEMD A Python Wrapper for Pele and Werman’s Implementation of the Earth Mover’s Distance Metric (2017)

[9]

10.1186/s13677-015-0026-8

[10]

furletti "Big data analytics for smart mobility: A case study" EDBT/ICDT Workshops (2014)

[11]

10.1016/j.physa.2012.11.040

[12]

10.1007/s00778-011-0244-8

[13]

10.1016/j.tranpol.2007.01.001

[14]

forgy "Cluster analysis of multivariate data: Efficiency versus interpretability of classification" Biometrics (1965)

[15]

macqueen "Some methods for classification and analysis of multivariate observations" Proc 5th Berkeley Symp Math Statist Probab (1967)

[16]

steinhaus "Sur la division des corp materiels en parties" Bull Acad Polon Sci (1956)

[17]

10.1109/dsaa.2015.7344847

[18]

poussevin "Mining ticketing logs for usage characterization with nonnegative matrix factorization" Proc ECML Workshop (2014)

[19]

everitt Cluster Analysis (2009)

[20]

10.1016/j.techfore.2013.06.010

[21]

mazimpaka "A visual and computational analysis approach for exploring significant locations and time periods along a bus route" Proceedings of the ACM SIGSPATIAL International Workshop on Computational Transportation Science (2016)

[22]

mcqueen Intelligent Transportation Systems Architectures (1999)

[23]

moreira Travel Time Prediction for the Planning of Mass Transit Companies A Machine Learning Approach (2008)

[24]

jones SciPy Open source scientific tools for Python (2001)

[25]

berlingerio "AllAboard: A system for exploring urban mobility and optimizing public transport using cellphone data" Proc Eur Conf Mach Learn Knowl Discovery Databases (2013)

[26]

10.1080/13658816.2015.1132424

[27]

10.1016/j.trc.2010.10.004

[28]

koslowsky Commuting Stress Causes Effects and Methods of Coping (2013)

[29]

10.1007/s13218-012-0180-9

[30]

ceder Public Transit Planning and Operation Modeling Practice and Behavior (2016) 10.1201/b18689

[31]

galba "Public transportation bigdata clustering" Int J Comput and Elect Engin (2013)

[32]

10.1145/2093973.2093982

[33]

ester "A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise" Proc Int'l Conf Knowledge Discovery and Data Mining (1996)

[34]

10.1109/bmei.2010.5639899

[35]

10.1109/tits.2014.2376772

[36]

10.1016/s0965-8564(00)00006-9

[37]

10.1061/(asce)te.1943-5436.0000126

Metrics

21

Citations

37

References

Details

Published: Nov 01, 2018
Vol/Issue: 19(11)
Pages: 3652-3661
License: View

Authors

Funding

Faculty of Computer Science and Management, Wrocław University of Science and Technology statutory funds

Cite This Article

Piotr Szymański, Michal Zolnieruk, Piotr Oleszczyk, et al. (2018). Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław. IEEE Transactions on Intelligent Transportation Systems, 19(11), 3652-3661. https://doi.org/10.1109/tits.2018.2852845

Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław

You May Also Like