Road traffic prediction dataset.

<em>Public (anonymized) road traffic prediction datasets from Huawei Munich Research Center.</em> Datasets from a variety of traffic sensors (i.e. induction loops) for traffic prediction. The data is useful for forecasting traffic patterns and adjusting stop-light control parameters, i.e. cycle length, offset and split times. The dataset contains recorded data from 6 crosses in the urban area for the last 56 days, in the form of flow timeseries, depicted the number of vehicles passing every 5 minutes for a whole day (i.e. 12 readings/h, 288 readings/day, 16128 readings / 56 days).<em>华为慕尼黑研究中心公开的（匿名化）道路交通预测数据集。</em> 该数据集源自多类交通传感器（即感应线圈（induction loops）），用于道路交通预测任务。此类数据可用于预测交通流模式，并调整信号灯控制参数，例如周期时长（cycle length）、相位差（offset）以及绿信比（split times）。该数据集包含了城区6个十字路口连续56天的记录数据，以流量时间序列的形式呈现，记录了单日每5分钟的车辆通行量，即每小时12条读数、每日288条读数，56天总计16128条读数。