Traffic safety risk assessment of smart city based on bayesian network

Abstract

With the development of smart city construction in China, technology governance has become a popular method to solve traffic safety problems. However, the effectiveness of technology governance needs to be evaluated scientifically. Based on Bayesian network model, this paper takes the top 50 smart cities in 2019 as the object to evaluate the safety risk of traffic. The results show that: the risk of traffic safety is highly negatively correlated with the construction of smart city, and smart traffic helps to reduce the risk of traffic safety; different levels of smart traffic construction among different cities not only make the level of traffic safety risk different, but also make the source of risk different. Travel environment safety risk is the main risk source of cities with low traffic safety risk, public traffic safety awareness risk is the main risk source of cities with medium traffic safety risk, while infrastructure safety risk is the main risk source of cities with high traffic safety risk.