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新西兰的高分辨率多源交通数据。

High-resolution multi-source traffic data in New Zealand.

作者信息

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

机构信息

School of Electrical Engineering, Guangxi University, Nanning, 530004, China.

State Key Lab of Power System Operation and Control, Tsinghua University, Beijing, 100084, China.

出版信息

Sci Data. 2024 Nov 12;11(1):1216. doi: 10.1038/s41597-024-04067-5.

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.

摘要

交通信息对于交通管理和城市规划至关重要,但由于隐私问题,获取全国范围的数据很困难。因此,目前大多数交通数据集在时间和地点覆盖方面都有局限性,导致公众无法全面获取全国交通数据。为了解决这个问题,创建了一个多源公路交通数据集,该数据集在新西兰有2042个传感器,历时9年,每隔15分钟采集一次数据,并附有元数据。该数据集包括轻型和重型车辆的数据,以及温度和降水等天气信息。这个数据集有多种潜在的研究应用,如交通流预测和拥堵管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec24/11557880/95d7fc938301/41597_2024_4067_Fig1_HTML.jpg

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