IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence

arXiv:2404.18550v1 Announce Type: new
Abstract: Traffic congestion due to road incidents poses a significant challenge in urban environments, leading to increased pollution, economic losses, and traffic congestion. Efficiently managing these incidents is imperative for mitigating their adverse effects; however, the complexity of urban traffic systems and the variety of potential incidents represent a considerable obstacle. This paper introduces IncidentResponseGPT, an innovative solution designed to assist traffic management authorities by providing rapid, informed, and adaptable traffic incident response plans. By integrating …

abstract artificial artificial intelligence arxiv challenge complexity congestion cs.hc cs.lg economic effects environments generative generative artificial intelligence however incident incident response intelligence losses pollution systems traffic traffic congestion type urban