High-resolution multi-source traffic data: a case study in New Zealand

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.

交通信息对于交通管理与城市规划而言至关重要，但受隐私保护顾虑影响，获取全国尺度的交通数据难度极大。因此，当前多数交通数据集在时间与空间覆盖范围上存在局限，导致公众难以全面获取全国层面的交通数据。为解决这一问题，本研究构建了一款多源公路交通数据集：该数据集覆盖新西兰境内2042个交通传感器，采集周期长达9年，采样间隔为15分钟，并附带配套元数据(metadata)。该数据集涵盖轻型与重型两类车辆的交通流数据，同时包含气温、降水量等气象信息。本数据集具备多样化的潜在研究应用场景，例如交通流量预测与拥堵管控。