Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
Weiwei Jiang, Jiayun Luo
Abstract
Big data have been used widely in many areas, including the transportation industry. Using various data sources, traffic states can be well estimated and further predicted to improve the overall operation efficiency. Combined with this trend, this study presents an up-to-date survey of open data and big data tools used for traffic estimation and prediction. Different data types are categorized, and off-the-shelf tools are introduced. To further promote the use of big data for traffic estimation and prediction tasks, challenges and future directions are given for future studies.
Topics & Concepts
Big dataEstimationComputer scienceData scienceSurvey data collectionData miningEngineeringStatisticsSystems engineeringMathematicsTraffic Prediction and Management TechniquesHuman Mobility and Location-Based AnalysisTransportation Planning and Optimization