California Traffic Network Datasets: METR-LA, PEMS-BAY, PEMS04 and PEMS08 for Traffic Speed and Flow Analysis

This dataset compilation brings together four significant traffic network datasets from California's transportation monitoring systems: METR-LA, PEMS-BAY, PEMS04, and PEMS08. The METR-LA dataset is collected from the traffic monitoring system in the Los Angeles area and records detailed traffic speed data. The PEMS-BAY, PEMS04, and PEMS08 datasets originate from the California Department of Transportation (Caltrans) Performance Measurement System, with PEMS-BAY recording traffic speed data, while PEMS04 and PEMS08 record traffic flow data. These datasets provide valuable empirical foundations for traffic prediction, pattern recognition, and intelligent transportation system research, applicable to developing advanced traffic management strategies, congestion prediction models, and smart travel planning systems. Researchers can utilize these datasets for developing and validating methods in spatiotemporal data mining, deep learning, and graph neural networks.

本数据集汇编汇集了来自加州交通监测系统的四类核心交通网络数据集：METR-LA、PEMS-BAY、PEMS04及PEMS08。METR-LA数据集采集自洛杉矶地区的交通监测系统，记录了精细化的交通速度数据。PEMS-BAY、PEMS04与PEMS08数据集均源自加州交通部（California Department of Transportation, Caltrans）绩效测量系统，其中PEMS-BAY记录交通速度数据，PEMS04与PEMS08则采集交通流量数据。上述数据集可为交通预测、模式识别及智能交通系统研究提供极具价值的实证支撑，可用于开发先进交通管理策略、拥堵预测模型与智能出行规划系统。研究人员可借助这些数据集，开发并验证时空数据挖掘、深度学习以及图神经网络领域的相关方法。

搜集汇总

背景与挑战

背景概述

该数据集包含四个加州交通监测系统的数据（METR-LA、PEMS-BAY、PEMS04和PEMS08），分别记录交通速度和流量信息，为交通预测和时空模式分析研究提供了重要资源。