Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
It provides a comprehensive overview for researchers and practitioners in transportation, but is incremental as a survey.
This paper surveys open data sources and big data tools used for traffic estimation and prediction, categorizing data types and introducing available tools to improve transportation efficiency.
Big data has been used widely in many areas including the transportation industry. Using various data sources, traffic states can be well estimated and further predicted for improving 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 the 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.