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Title:

The Kumbh Mela Experiment: Measuring and Understanding the Dynamics of Mankind’s Largest Crowd

Accession Number:

01624411

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/07386826

Abstract:

India’s large religious events pose a major challenge—managing superdense pedestrian movements within a limited area. The 2013 Kumbh Mela pilgrimage in Allahabad, India, drew an estimated 100 million people, and approximately 75 million undertook the 2016 pilgrimage in Ujjain. To gain a fundamental understanding of pedestrian dynamics in mass gatherings and to use that knowledge to increase safety at these events, researchers have initiated a major international collaborative research project, the Kumbh Mela Experiment (KME). The aim of the KME is to use big data and the Internet of Things (IoT) to understand crowd dynamics in mass gatherings and to develop crowd management solutions, with particular focus on crowd risk. For more information on the ongoing project, visit www.the-kumbh-mela-experiment.com.

Language:

English

Authors:

Verma, Ashish

Pagination:

pp 44-45

Publication Date:

2016-11

Serial:

TR News

Issue Number: 306
Publisher: Transportation Research Board
ISSN: 0738-6826

Media Type:

Digital/other

Features:

Photos

Identifier Terms:

Geographic Terms:

Subject Areas:

Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Jan 25 2017 9:16AM

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