Real-Time Traffic Flow Prediction Using Big Data Analytics

Tran, Dang-Khoa; Hoang, Dinh-Quang; Le, Viet-Thang; Thai, Minh-Duc Nguyen; Do, Trong-Hop

doi:10.1007/978-3-031-15063-0_38

Cited by 1 publication

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Approaches Findings [98] Prophet model Low Accuracy, Poor Performance. [20] BD, IoT, KF, and BP High Accuracy, Low error rate [99] Anomaly detection,traffic simulation.…”

Section: Studymentioning

confidence: 99%

“…The main objective of this survey is to investigate how GIS, BD sources, and BD processing frameworks can be integrated to enhance traffic prediction performance and accuracy, hence presenting an easy-to-adopt unified conceptual framework to be a guide for researchers on how to adopt BD and GIS in traffic prediction. In [98], the authors proposed a traffic flow prediction system in real-time with a simple method and vivid visualization. Many highways were analyzed simultaneously using the suggested system, and the results of the predictions are shown on a heat map.…”

Section: A Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Traffic Flow Prediction Using Big Data and Geographic Information Systems: A Survey of Data Sources, Frameworks, Challenges, and Opportunities

Ahmed¹,

Abdelhamid²,

Hefny³

2023

IJCDS

View full text Add to dashboard Cite

Big Data has been utilized extensively in numerous fields, including transportation. Using several sources of data, traffic conditions can be accurately anticipated and forecasted to enhance the overall operation's efficacy. This study introduces and outlines the different data types that can be utilized in traffic prediction. 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 and Geographic Information Systems 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.

show abstract

“…Approaches Findings [98] Prophet model Low Accuracy, Poor Performance. [20] BD, IoT, KF, and BP High Accuracy, Low error rate [99] Anomaly detection,traffic simulation.…”

Section: Studymentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%