Big data for traffic estimation and prediction: a survey of data and tools
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 an...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/164221 |
| _version_ | 1811677344115458048 |
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| author | Jiang, Weiwei Luo, Jiayun |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Jiang, Weiwei Luo, Jiayun |
| author_sort | Jiang, Weiwei |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T02:35:52Z |
| format | Journal Article |
| id | ntu-10356/164221 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:35:52Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1642212023-01-10T04:00:08Z Big data for traffic estimation and prediction: a survey of data and tools Jiang, Weiwei Luo, Jiayun School of Computer Science and Engineering Engineering::Computer science and engineering Big Data Call Detail Records 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. Published version 2023-01-10T04:00:08Z 2023-01-10T04:00:08Z 2022 Journal Article Jiang, W. & Luo, J. (2022). Big data for traffic estimation and prediction: a survey of data and tools. Applied System Innovation, 5(1), 23-. https://dx.doi.org/10.3390/asi5010023 2571-5577 https://hdl.handle.net/10356/164221 10.3390/asi5010023 2-s2.0-85124627439 1 5 23 en Applied System Innovation © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf |
| spellingShingle | Engineering::Computer science and engineering Big Data Call Detail Records Jiang, Weiwei Luo, Jiayun Big data for traffic estimation and prediction: a survey of data and tools |
| title | Big data for traffic estimation and prediction: a survey of data and tools |
| title_full | Big data for traffic estimation and prediction: a survey of data and tools |
| title_fullStr | Big data for traffic estimation and prediction: a survey of data and tools |
| title_full_unstemmed | Big data for traffic estimation and prediction: a survey of data and tools |
| title_short | Big data for traffic estimation and prediction: a survey of data and tools |
| title_sort | big data for traffic estimation and prediction a survey of data and tools |
| topic | Engineering::Computer science and engineering Big Data Call Detail Records |
| url | https://hdl.handle.net/10356/164221 |
| work_keys_str_mv | AT jiangweiwei bigdatafortrafficestimationandpredictionasurveyofdataandtools AT luojiayun bigdatafortrafficestimationandpredictionasurveyofdataandtools |