常态交通流预测

通过对历史交通流数据的时空特性分析,利用数据挖掘领域的相关知识寻求与当前交通流特性最为相似的历史曲线,并以其为基础来获得交通流预测值。

By analyzing the spatiotemporal characteristics of historical traffic flow data, this method utilizes relevant knowledge from the field of data mining to identify historical traffic flow curves that are most similar to current traffic flow characteristics, and derives traffic flow prediction values based on these similar curves.

搜集汇总

背景与挑战

背景概述

该数据集通过挖掘历史交通流时空数据，匹配相似历史曲线来实现交通流量预测。其核心方法是基于数据挖掘技术分析历史数据的时空特征。