Year: 2024
Type: article
Abstract: The trucking industry in the United States is a critical component of the supply chain, but it faces significant safety challenges, including driver fatigue, distractions and hazardous road conditions.Artificial Intelligence (AI) offers innovative solutions to address these issues by enhancing driver performance and reducing accidents.This paper explores the integration of AI-driven intelligent systems, such as Advanced Driver Assistance Systems (ADAS), driver monitoring tools and predictive analytics, to mitigate safety risks in the trucking industry.Real-world examples and case studies illustrate how AI technologies complement human drivers, offering real-time alerts, fatigue detection and collision prevention.Despite these advancements, challenges such as high implementation costs, ethical concerns and infrastructure limitations remain.This paper emphasizes the need for a drivercentric approach to implementing AI systems and outlines the future potential of AI in creating safer trucking environments.By leveraging intelligent technologies, the trucking industry can achieve significant reductions in accidents, improve driver wellbeing and enhance operational efficiency.
Author: Bhavya Vashisht
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4406034197