Application of Naive Bayes Classifier in Stampede Risk Early-Warning of Large-Scale Activities

摘要

The current researches on prediction of crowd stampede accident in large-scale activities are mainly early-warning before the accident and the accident early-warning ways are single. To solve this problem, the paper proposes a real-time early-warning model against the stampede risk in large-scale activity places based on Naive Bayes Classifier(NBC) from evaluation index and evaluation algorithm, and verifies the rationality and validity of the model.