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.
翻译:在运输业等许多领域广泛使用大数据,利用各种数据来源,可以很好地估计和进一步预测交通状况,以提高总体运营效率。结合这一趋势,本研究报告介绍了对开放数据和用于交通量估计和预测的大数据工具的最新调查,对不同数据类别进行了分类,并采用了现成工具。为了进一步促进使用大数据进行交通量估计和预测任务,为今后的研究提出了挑战和未来方向。