The article is dedicated to the basic aspects of providing of fire safety of the transportation system through the use of advanced information technology. The management of fire risk can significantly reduce the likelihood of fires on objects of the industry. Guidance and regulatory documents (standards, orders, and methods) are given to the persons responsible for fire safety, to assess these risks with the involvement of scientific methods and the results of the assessment to respond to existing hazards. The implementation of the requirements of these documents in relation to the transport system involves the need to integrate features such as: distributed high-scale nature, exposure to a large number of various fire danger factors, dynamic transport system and the environment. These features do not allow the use of traditional calculation methods of risk assessment and a focus on the transition to new directions, such as handling large amounts of data, artificial intelligence etc. As a re-sult, the problem arises of improving the management processes of fire risk in transport, the solution of which is seen in the widespread introduction of information technology. The basis which provides control of fire risks in transport and the use of new methods and techno-logies should be the information space fire security. Its development is planned to be formed in the context of a Single information space of the Intelligent multimodal transporting system. This thesis outlines the basic principles and the hierarchical nature of the architecture of the information space of fire safety. The lower level of this information space - the data field - need to accumulate large amounts of data about the fire situation in the transportation system (facilities, roads, vehicles, etc.) and to solve the problem of filtering, systematization, generalization, etc. Next level is a field of information and is aimed on the extraction of useful details such as patterns and trends (predictions) of development of the fire situation, due to mining the most informative data. The upper level or field of knowledge implies the possi-bility of the formation of expert judgments of the fire situation. Application processes, allowing assessing the risks and developing recommendations for their accep-tance or rejection, have the opportunity to receive information service from any field depending on a task. Models, methods and algorithms can be traditional or innovative. The innovative methods that have been proven in other subject areas have shown the possibility of their effective application in the management of fire risks. These include: analysis of association rules, cluster and segmentation analysis, classification methods and regression analysis, analysis of outliers/anomalies, text analysis, time series analysis, visualiza-tion, analytical data, etc. Thus, the implementation of considered information technologies applied to the management of fire risk in transport allows to expect positive results in the practice of countering the threats of fires.