SURVEY ON CHANGES IN PASSENGER FLOWS

Railway systems in mega-cities are affected by various events such as natural disasters, accidents, and public gatherings. In 2017 near Manikpur railway station in Uttar Pradesh killing three and injuring at least nine passenger because of the thirteen coaches of Vasco Da Gama-Patna Express derailed...

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Bibliographic Details
Published in:International journal of advanced research in computer science 2018-02, Vol.9 (1), p.30-32
Main Authors: Ashwini Ashok Phadtare, Khairmode, Pooja S, Nikam, Priyanka V, Lokhande, Snehal B
Format: Article
Language:English
Subjects:
Computer networks
Data management
Derailments
Digital media
Natural disasters
Occupant injuries
Passengers
Railway stations
Railways
Social networks
Transportation networks
Visualization
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Summary:Railway systems in mega-cities are affected by various events such as natural disasters, accidents, and public gatherings. In 2017 near Manikpur railway station in Uttar Pradesh killing three and injuring at least nine passenger because of the thirteen coaches of Vasco Da Gama-Patna Express derailed. A huge and complicated networks in the railway system increase uncertainty in the network because they provides various transfer routes to passenger. Visualization is one of the most important techniques for examining such unnecessary situations in the large networks. In this paper, we proposed a new approach for visual integration of traffic analysis and social media analysis using two forms of big data: railway station data and social media data like SMS service. In that we present different views to usually and simultaneously explore changes in passenger flow and abnormal situations extract from railway station data and situational explanations of passenger such as complaints about services extracted from social media. It exhibits the possibilities and usefulness of our visualization environment using a dataset studies and experts feedback about various kinds of events.
ISSN:0976-5697
0976-5697
DOI:10.26483/ijarcs.v9i1.5157