  The proposed IncidentResponseGPT framework - a novel system that applies
generative artificial intelligence (AI) to potentially enhance the efficiency
and effectiveness of traffic incident response. This model allows for synthesis
of region-specific incident response guidelines and generates incident response
plans adapted to specific area, aiming to expedite decision-making for traffic
management authorities. This approach aims to accelerate incident resolution
times by suggesting various recommendations (e.g. optimal rerouting strategies,
estimating resource needs) to minimize the overall impact on the urban traffic
network. The system suggests specific actions, including dynamic lane closures,
optimized rerouting and dispatching appropriate emergency resources.
IncidentResponseGPT employs the Technique for Order Preference by Similarity to
Ideal Solution (TOPSIS) to rank generated response plans based on criteria like
impact minimization and resource efficiency based on their proximity to an
human-proposed solution.
