Real-time dynamic adjustment algorithm for emergency vehicle path planning in intelligent transportation system

This paper explores the real-time dynamic adjustment algorithm for emergency vehicle path planning in intelligent transportation systems. It begins by highlighting the importance of emergency response and the current path planning methods, while analyzing the trends in real-time dynamic adjustment technology. Next, it constructs an emergency vehicle path planning model based on intelligent transportation systems, clarifies the problem definition and assumptions, and introduces key technologies. Building on this foundation, the paper details the real-time dynamic adjustment algorithm, including a rapid response mechanism and a path re-planning strategy, and explains the implementation details of the algorithm. Through case studies, the effectiveness of the algorithm is verified and its performance is evaluated. Finally, the research findings are summarized, and future directions for work are outlined, including technical improvements and application expansion.