Accident Analysis and Smart Management Model of Metro Safety

摘要

An increasing number of developing countries step into the new underground network traffic era, where metro safety management faces great challenges. This paper collects 243 metro safety incidents in 48 cities around the world. The statistical results show that the number of metro safety accidents does not decrease with the development of society, and there is a positive correlation between the number of accidents and the number of people injured in the accidents. Interrupted train operation accidents are the main type of metro safety accidents, followed by fire accidents, train derailment and impact accidents, and terrorist attacks. As a major component of smart city development, metro safety management is an important part of the healthy development of large cities. The expansion of big data and the development of the IoT technology play an important role in the feasibility of smart metro safety management. In this paper, the prospect of big data applications to smart metro safety management is described. A new development direction of smart metro safety management is discussed, and a system structure model of smart metro safety management is proposed. In the context of big data, this study provides a reference for researchers and industry to the research on and development of smart metro safety management in the future.