Journal
APPLIED SYSTEM INNOVATION
Volume 5, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/asi5010023
Keywords
big data; call detail records; census data; GPS trajectory data; location-based service data; open data; public transport transaction data; road sensor data; survey data
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This study provides an up-to-date survey of open data and big data tools used for traffic estimation and prediction. It categorizes different data types and introduces off-the-shelf tools. Challenges and future directions are also given to promote the use of big data in traffic estimation and prediction tasks.
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.
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