Emergency Route Optimization During Disasters Using AI And Iot: A Comprehensive Review of Sensing Approaches, Routing Algorithms, Report-ed Evidence, and Deployment Challenges
Disasters such as floods, earthquakes and cyclones damage roads and delay ambulances, fire brigades and rescue teams, while conventional navigation relies on static maps that ignore flooding, blockages and congestion. This paper presents a focused narrative review that synthesises five studies on AI-based emergency and...
Arshad Salim Shaikh, A. P. Banger, S. B. Bhosale et al.
· Zenodo (CERN European Organi... · 0 citations