doi: 10.3981/j.issn.1000-7857.2019.06.009
With the wide applications of information and intelligence in transportation services and management, large and rich data resources are accumulated in the industry. This paper analyzes the characteristics, the types and the data volume of the transportation big data, and briefly describes the structure, the function and the application of the integrated traffic travel big data open cloud platform, and analyzes application cases in several aspects, such as the traffic big data in the traffic congestion control, the highway intelligent inspection, the passenger flow statistics and the civil aviation management. Finally, it is suggested that the transportation data are very hybrid in nature, and the processing results may involve contradictory conclusions. As the data amount increases, the influence of inaccuracy on the whole analysis conclusion becomes smaller. When the data volume is expanded, simple algorithms may be more practical.