New York City Taxi Trip Data (2010-2013)
Cite this dataset:
Donovan, Brian; Work, Dan (2016): New York City Taxi Trip Data (2010-2013). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/J8PN93H8
Use this persistent URL to link to this dataset:
Dataset Description

This dataset contains records of four years of taxi operations in New York City and includes 697,622,444 trips. Each trip records the pickup and drop-off dates, times, and coordinates, as well as the metered distance reported by the taximeter. The trip data also includes fields such as the taxi medallion number, fare amount, and tip amount. The dataset was obtained through a Freedom of Information Law request from the New York City Taxi and Limousine Commission.

The files in this dataset are optimized for use with the ‘decompress.py’ script included in this dataset. This file has additional documentation and contact information that may be of help if you run into trouble accessing the content of the zip files.
Subject Technology and Engineering
Keywords taxi;transportation;New York City;GPS
License CC0
Corresponding Creator Dan Work
Downloaded 8650 times
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A. Wallar, J. Alonso-Mora, and D. Rus (2019): Optimizing Vehicle Distributions and Fleet Sizes for Mobility-on-Demand, 2019 IEEE International Conference on Robotics and Automation (ICRA)
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A. Wallar, W. Schwarting, J. Alonso-Mora and D. Rus, "Optimizing Multi-class Fleet Compositions for Shared Mobility-as-a-Service," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2998-3005. doi: 10.1109/ITSC.2019.8916904
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C.S. Sartori, L.S. Buriol, A Study on the Pickup and Delivery Problem with TimeWindows: Matheuristics and New Instances, Computers and Operations Research (2020), doi: https://doi.org/10.1016/j.cor.2020.105065
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A. Kiersztyn, P. Karczmarek, K. Kiersztyn and W. Pedrycz, "The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020, pp. 1-7, doi: 10.1109/FUZZ48607.2020.9177668.
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Y. Alfassi, M. Gabel, G. Yehuda, and D. Keren. A Distance-Based Scheme for Reducing Bandwidth in Distributed Geometric Monitoring. 37th IEEE International Conference on Data Engineering (ICDE), 2021
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Klaren, K. R. Continuous Dynamic Time Warping for Clustering Curves. 14 Aug 2020. Student thesis: Master.
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A. Kiersztyn, P. Karczmarek, K. Kiersztyn and W. Pedrycz, "Detection and Classification of Anomalies in Large Data Sets on the Basis of Information Granules," in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2021.3076265.
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M. Kronmueller, A. Fielbaum and J. Alonso-Mora. 2024. "Reducing the Minimal Fleet Size by Delaying Individual Tasks," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3368101.
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Yu, J., Duan, Y., Xu, L., Chen, C., Liu, S., Chen, L., Liu, K., Yang, F., & Guo, N. (2024). DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. doi: https://doi.org/10.48550/arXiv.2404.00243
Version DOI Comment Publication Date
1 10.13012/J8PN93H8 2016-05-19
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Contact the Research Data Service for help interpreting this log.

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update: {"nested_updated_at"=>[Mon, 11 Dec 2023 20:33:59.637392000 UTC +00:00, Mon, 12 Feb 2024 16:24:35.321921000 UTC +00:00]} 2024-02-12T16:24:35Z
update: {"nested_updated_at"=>[nil, Mon, 11 Dec 2023 20:33:59.637392000 UTC +00:00]} 2024-01-03T18:23:20Z
update: {"subject"=>[nil, "Technology and Engineering"]} 2018-02-09T16:00:43Z
update: {"version_comment"=>[nil, ""]} 2017-05-11T21:25:22Z
update: {"description"=>["This dataset contains records of four years of taxi operations in New York City and includes 697,622,444 trips. Each trip records the pickup and drop-off dates, times, and coordinates, as well as the metered distance reported by the taximeter. The trip data also includes fields such as the taxi medallion number, fare amount, and tip amount. The dataset was obtained through a Freedom of Information Law request from the New York City Taxi and Limousine Commission.", "This dataset contains records of four years of taxi operations in New York City and includes 697,622,444 trips. Each trip records the pickup and drop-off dates, times, and coordinates, as well as the metered distance reported by the taximeter. The trip data also includes fields such as the taxi medallion number, fare amount, and tip amount. The dataset was obtained through a Freedom of Information Law request from the New York City Taxi and Limousine Commission.\r\n\r\nThe files in this dataset are optimized for use with the ‘decompress.py’ script included in this dataset. This file has additional documentation and contact information that may be of help if you run into trouble accessing the content of the zip files."]} 2016-12-12T21:39:26Z
update: {"hold_state"=>["files temporarily suppressed", nil]} 2016-05-20T13:47:28Z
update: {"hold_state"=>["none", "files temporarily suppressed"]} 2016-05-19T23:20:57Z