Bibliographic Details
| Title: |
High-resolution multi-source traffic data in New Zealand |
| Authors: |
Bo Li, Ruotao Yu, Zijun Chen, Yingzhe Ding, Mingxia Yang, Jinghua Li, Jianxiao Wang, Haiwang Zhong |
| Source: |
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024) |
| Publisher Information: |
Nature Portfolio, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2052-4463 |
| Relation: |
https://doaj.org/toc/2052-4463 |
| DOI: |
10.1038/s41597-024-04067-5 |
| Access URL: |
https://doaj.org/article/98ef0c79b6a24f5197f672a1715cfb0f |
| Accession Number: |
edsdoj.98ef0c79b6a24f5197f672a1715cfb0f |
| Database: |
Directory of Open Access Journals |
