Traffic enterprise level data fusion optimization and data governance: the core of transportation, man-vehicle-road, involves multiple departments and spans multiple related industries and fields. The value generated from these data after concentration is immeasurable. The distributed storage (hdfs) and high performance computing (M/R, spark, etc.) provided by big data can be used to solve massive data storage and computing problems facing the traffic big data. The massive complex data are integrated and optimized based on the thematic data modeling. The software tools and consulting services are relied on to assist the transportation industry in managing and controlling massive data. It relies on professional data scientists to carry out relevant data mining analysis and application based on traffic big data, effectively realizing the self-optimized ecological close loop of prevention before event, in-process regulation, evaluation post event and prevention before event, so as to settle the traffic dilemma by taking advantage of intelligent big data and restore the real value of traffic big data.