广东省高速公路车流量短期预测数据

该数据集合基于历史数据和神经网络不间断地对未来2小时内每5分钟、15分钟、30分钟等时间粒度车流量数据进行滚动预测，包含未来15分钟预测、30分钟预测、1小时预测和2小时预测等4种时间颗粒度的车流量预测、流量峰值预测数据表，数据集合每15分钟产生一个新的版本，每个路段收费单元都会产生对应的预测数值。 主要适用于交通行业主管部门和高速公路路段业主，可应用于制定交通管控方案、预防高速交通拥堵、评估未来高速区间的安全等级、制定救援物资分配预案、管控加救援人员分配预案和高速监控视频轮播方案等方面。

This dataset conducts continuous rolling forecasts of traffic flow data at various time granularities (e.g., 5 minutes, 15 minutes, 30 minutes) within the next 2 hours based on historical data and neural networks. It contains traffic flow prediction and traffic peak prediction data tables for four standard time granularities: 15-minute, 30-minute, 1-hour, and 2-hour forecasts. The dataset generates a new version every 15 minutes, with corresponding prediction values produced for each road segment toll unit. It is mainly intended for traffic industry regulatory authorities and expressway segment owners, and can be applied to developing traffic control plans, preventing expressway traffic congestion, evaluating the safety levels of future expressway sections, formulating rescue material allocation plans, traffic control and rescue personnel deployment plans, and expressway surveillance video rotation scheduling schemes, among other use cases.