Abstract: Transportation, as one of the important parts of a country’s development, bears the function of national economic development and national integration, and its modernization level directly affects the degree of national progress. With the sample of the core periodicals of the 499 major data traffic research published in the CNKI database in recent 5 years, the paper uses CiteSpaceV to analyze the knowledge atlas of the domestic large data traffic research for 2012-2017 years. It reproduces the spatio-temporal dynamic development course of the large data traffic in China and the distribution of the institutional distribution of the literature. Research scholars, research hot situation, and explore its development trend, for the further advance of China’s large data traffic theory and practice research to provide basic knowledge support. In order to solve the “old problems” of traffic and transportation, such as traffic congestion, accident rescue, environmental pollution and energy shortage, it is particularly important to respond to the state’s fine management for the “supply and demand relationship” in the new period.

Key words: transportation, transport power strategy, big data traffic, knowledge map.