The Kumbh Mela Experiment: Measuring and Understanding the Dynamics of Mankind’s Largest Crowd
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.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/07386826
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Authors:
- Verma, Ashish
- Publication Date: 2016-11
Language
- English
Media Info
- Media Type: Digital/other
- Features: Photos;
- Pagination: pp 44-45
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Serial:
- TR News
- Issue Number: 306
- Publisher: Transportation Research Board
- ISSN: 0738-6826
Subject/Index Terms
- TRT Terms: Crowds; Data collection; Pedestrian movement; Pedestrian safety; Pedestrians; Risk analysis; Special events
- Identifier Terms: Kumbh Mela
- Geographic Terms: India
- Subject Areas: Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting;
Filing Info
- Accession Number: 01624411
- Record Type: Publication
- Files: TRIS, TRB, ATRI
- Created Date: Jan 30 2017 10:44AM