Automated Crowd Management in Bus Transport Service
Achanta V Meghana, Vedant Sarode, Dhananjay Tambade, Abhidnya Marathe, Nadir N. Charniya
Abstract
Crowd Management in Bus Transport Service provides an easy way to know about the live crowd density present inside the bus to the commuters present at the upcoming bus stop. This paper presents an Automated Crowd Management System using the algorithms of Machine Learning and IoT Technologies. The crowd density is detected inside the bus and is classified in to 5 different levels which will eventually be displayed on the LCD screen at the bus stop. The proposed system has an accuracy of 93.09% and the time required to transmit the crowd density to the bus stop is just a few seconds. This thus, provides commuters with a safe journey and helps them know about the live crowd density in a particular bus and help them plan accordingly as to which bus to board or look for an alternative mode of transport.