In order to solve the common problems in traffic life and work,such as incomplete and untimely access to information,lack of three-dimensional,flexible and in-depth situation awareness,more traffic monitoring platforms and less Internet plus platforms,an internet situational awareness platform was built.First,the problems and challenges of "Internet plus" transportation were presented through three typical scenarios,and the targeted requirement analysis was given.In order to ensure the authority,seriousness and influence of data sources,a media resource database including official media,transportation system,portal sites,electronic journals,forums and Baidu post bars was built;Then,in combination with the relevant background of building smart transportation in Hebei Province and according to the data processing flow of "acquisition-understanding-analysis-performance",the functional framework and technical framework of the platform were given,and the algorithms such as adaptive acquisition,content extraction,filtering,clustering,classification and data visualization were applied to the relevant parts of the platform;Finally,the implementation of the main functions of the platform,including the main layout (synthesis),geographic view page,content view page and media view page,was given.The results show that the platform runs in a 365 day * 24 h mode,2 429 364 pieces of data are obtained from 670 websites,and 9 698 pieces of information are discovered.Therefore,the platform initially has the characteristics and practicability of "automation,agility and intelligence",which provides some reference for research in the field of internet enabled intelligent transportation.