Optimization Ideas for Risk Control in Hazardous Materials Transportation Under the Background of Artificial Intelligence

DOI: https://doi.org/10.62517/jsse.202508402

Author(s)

Yi He

Affiliation(s)

Department of Management, Guangdong University of Science and Technology, Dongguan, Guangdong, China

Abstract

In recent years, with the development of global industrialization, the demand for hazardous goods has been on the rise, and the logistics of hazardous materials must also undergo a high-quality transformation toward safety, environmental friendliness, and efficiency. However, the safety factors involved in the transportation of hazardous goods cover a wide range of aspects, making regulation difficult, and there is a shortage of professional personnel. These issues lead to high risk control costs and low efficiency in the transportation of hazardous materials. Therefore, this study aims to explore the application prospects of artificial intelligence (AI) technology in the transportation of hazardous goods, and discuss how to use AI to reduce the difficulty and cost of risk control in hazardous materials transportation, thereby effectively improving the efficiency and safety of hazardous goods transportation.

Keywords

Hazardous Materials Transportation; Artificial Intelligence; Risk Control

References

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