DOAJ Open Access 2022

Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools

Weiwei Jiang Jiayun Luo

Abstrak

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.

Topik & Kata Kunci

Technology Applied mathematics. Quantitative methods

Penulis (2)

Weiwei Jiang

Jiayun Luo

Format Sitasi

APA MLA BibTeX

Jiang, W., Luo, J. (2022). Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools. https://doi.org/10.3390/asi5010023

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.3390/asi5010023
Akses: Open Access ✓