## 1 Introduction  
With the application and development of science and technology in transportation systems, intelligent transportation systems have gradually become an effective means to solve transportation problems in sudden public events. Faced with sudden public safety incidents, the question is how to utilize technologies such as cloud computing, big data, mobile internet, artificial intelligence, and related intelligent algorithms to achieve multi-dimensional improvement and all-round innovation in road traffic management, road traffic transportation, traffic information services, and other businesses in order to achieve the optimal state of traffic flow, pedestrian flow, and logistics in the transportation network. This issue will become the direction of the future innovative development of the intelligent transportation industry.  
The serious impact of public health emergencies on the economy and society, lives, and property safety has aroused great attention in all countries in the world, which seek to improve the emergency management system of public health emergencies. In recent years, China has made great efforts to improve its medical service and security capacity while investing a lot of money in infrastructure construction. By the end of 2019, health expenditure has exceeded 6 trillion CNY. By the end of 2020, China had more than one million health units, and its bed utilization rate exceeded 84.2% [1]. However, as health indicators have increased, there have been problems. For example, the amount of newly added medical waste keeps rising every year, and after medical supplies are used, due to the differences in uses, contacts, and machines, part of medical waste is still highly harmful, will cause damage to both the human body and the environment, and is thus a large risk factor [2]. If it is not disposed of harmlessly and in time, or if it is mixed with household waste or even illegally reused, this waste will pose a great threat. At the end of 2019, COVID-19 broke out, and it then spread around the world. The spread of the epidemic and the explosive growth of confirmed patients led to a rapid increase in the production of medical waste [3]. The production of medical waste in China has exceeded 3000 t per day since March 2020, and the disposal load of medical waste is far higher than before the epidemic. With the regular development of epidemic prevention and control, the safety problems caused by medical waste disposal have attracted wide attention. In this case, the economic and social significance of studying the emergency disposal of medical waste in public health emergencies is becoming more and more evident.  
Due to the impact of the COVID-19 epidemic, the total amount of medical waste that is generated has increased significantly, but there is currently limited research on the emergency disposal of medical waste. Therefore, it is imperative to study the optimization of the transportation network for medical waste disposal in public health emergencies. In summary, in the context of intelligent transportation, this article applies data mining technology and intelligent algorithms to study the optimization plan of the medical waste emergency disposal transportation network in the event of sudden public health events. Based on the research in this article, the effective disposal and transportation of medical waste can maximize the protection of citizens' health, which is of great significance for ecological protection and stable economic development.