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Author/Affiliation: Alexander RaikovOpen AccessArticle
11 Pages, 1,037 KB 
Accelerating Decision-Making in Transport Emergency with Artificial Intelligence
Abstract:
The paper addresses speeding up meetings in a networked environment during rescue works in a transport emergency. Several groups of representatives of various services and observers participate in those meetings. The number of wrong decisions tends to increase because remote participants cannot understand each other quickly. First, the meetings must be efficiently held to avoid…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))