Research on the Highway Passenger Transport Informationization Platform Construction under The Background of Big Data Era

摘要

This paper mainly studies the highway passenger transport informationization management platform, analyzes the needs of the passenger transport management system, completes the system design of the operation management system software, and focuses on the key issues in the system design. The ARIMA prediction model is constructed in the passenger flow forecast, and the ARIMA model identification, model verification and model prediction are analyzed systematically. Then, referring to the current mainstream design ideas of heterogeneous data integration technology, the overall framework and functional modules of the highway passenger transport system are designed, and all kinds of passenger transport information are systematized from acquisition, processing to service provision, and their resources are also shared. The analysis results show that the application of big data technology in the construction of traffic information platform can effectively adapt to the characteristics of massive, multisource and heterogeneous traffic data, to continuously meet the needs of rapid growth and non-structural traffic data information storage, analysis and sharing