Ten different bus stops in Wuhu City are selected as the research object to build a fuzzy comprehensive evaluation model. Through the investigation of ordinary people, government staff, bus company staff and other different people, different survey results are obtained. Five factor sets are selected to determine the comment set, including the distance from the mall, the distance from the school, the distance from the hospital, the distance from the entertainment place and the traffic jam, Evaluate and adjust the convenience of ten stations in Wuhu. The results are obtained by MATLAB. Big data plays an important role in transportation. This paper will also give suggestions on big data in intelligent transportation to promote the normal and efficient operation of urban transportation.