Big Data Analysis on Economical Urban Traffic in Beijing : Organize overlapping transportation though the underground diameter line of Beijing railway hub

Big data technology to analyze transportation problems has become reliable and effective. Optimizing urban traffic by improving transportation organization has always been the focus of attention in the field of transportation. In order to deeply study the urban traffic saving that can be brought by the overlapping transportation organization, this paper relies on big data technology, scientific modeling, and combines big data analysis technology with traditional traffic four-stage method to quantify important indicators. At the same time, based on big data and simulation technology, the station carrying capacity and waiting organization capacity are discussed, which provides the basis for implementing the overlapping transportation organization plan.