Traffic_data

Based on the “Baidu Map Traffic Travel Big Data Platform”, this study calls API to obtain real-time and accurate urban road traffic data, and uses Python to analyze and process these data, which covers multiple characteristics of time series data, such as peak time period, congestion status and average speed. Cities that obtain data include Hangzhou and other cities, and the collected data set contains a total of tens of thousands of data. It includes the original data before model prediction, the forecast data after model processing and the performance evaluation data of each model.本研究基于百度地图交通出行大数据平台（Baidu Map Traffic Travel Big Data Platform），通过调用应用程序编程接口（API）获取实时精准的城市道路交通数据，并借助Python编程语言对上述数据进行分析与处理，涵盖时序数据的多项特征，包括高峰时段、拥堵状态及平均车速等。数据采集覆盖杭州等多个城市，所收集的数据集共计包含数万条数据。 该数据集包含模型预测前的原始数据、模型处理后得到的预测数据，以及各模型的性能评估数据。