Scientific Data (Nov 2024)

High-resolution multi-source traffic data in New Zealand

  • Bo Li,
  • Ruotao Yu,
  • Zijun Chen,
  • Yingzhe Ding,
  • Mingxia Yang,
  • Jinghua Li,
  • Jianxiao Wang,
  • Haiwang Zhong

DOI
https://doi.org/10.1038/s41597-024-04067-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

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Abstract Traffic information is crucial for managing transportation and city planning, but obtaining national-scale data is difficult due to privacy concerns. Consequently, most current traffic datasets have limitations in terms of time and location coverage, leading to a lack of comprehensive public access to national traffic data. To address this issue, a multi-source highway traffic dataset has been created, featuring 2042 sensors in New Zealand over a 9-year period with 15-minute intervals and accompanying metadata. The dataset includes data of both light-duty and heavy-duty vehicles, as well as weather information like temperature and precipitation. This dataset has diverse potential research applications such as traffic flow prediction and congestion management.