Traffic Flow Prediction using Big Data and GIS: A Survey of Data Sources, Frameworks, Challenges, and Opportunities

Abstract

Big Data has been utilized extensively in numerous fields, including the transportation sector. Using several sources of data, traffic conditions can be accurately anticipated and forecasted to enhance the overall operation's efficacy. In this study, the different data types that can be utilized in traffic prediction are introduced and outlined. In addition, the most popular Big Data processing frameworks will be characterized. It also reviews the applications of Big Data in traffic flow prediction. Furthermore, a conceptual framework to adopt Big Data in traffic prediction is proposed in this study. To further encourage Big Data utilization in traffic prediction operations, future research obstacles and opportunities are also provided in this study