Convolutional Neural Network and Genetic Algorithm for Crowd Flow Management with Congestion Reduction

This paper introduces an innovative framework for managing crowd movement through the use of a Convolutional Neural Network (CNN) to classify crowd density into four congestion levels and generate a congestion map. This information is then utilized by a Genetic Algorithm (GA) to determine safer walking routes that balance travel distance and congestion. The hybrid system is applied during the Hajj season, specifically focusing on the first day at Arafat. Hajj annual season is important to many p