Study on Crowd Density Estimation and Location Prediction in Public Transport System

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Study on Crowd Density Estimation and Location Prediction in Public Transport System
Author(s):
Deepthi VS, Venkat Chavan N, Sandhya Shanbhag, Sakshi S Dandappala
Keywords:
Crowd Density, IOT, Location Tracking, Prediction, GPS.
Abstract
Existing and Emerging technologies help to solve real-time problems without manual interference. Crowd analysis and location prediction in transport systems is an essential topic for research. It not only helps in transport system management but also in urban planning, public safety, and environment management. These Intelligent systems provide a vital role in extracting the location of transport and calculating the number of passengers, with the shortest path of travel. This survey paper covers different approaches for crowd density estimation such as deep learning, IoT, algorithms, image, and video-based and for location prediction using GPS tracking, smartphone technology, and so on. Therefore, an appropriate method has to be chosen to get maximum accuracy with solutions for all the existing problems with few enhancements.
Article Details
Unique Paper ID: 154092 Publication Volume & Issue: Volume 8, Issue 10 Page(s): 30 - 36
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