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A Big Data Dashboard for Urban Mobility
Author(s) -
Balaji Prabhakar
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.08.394
Subject(s) - dashboard , computer science , metropolitan area , train , public transport , crowding , entertainment , work (physics) , transport engineering , big data , data science , medicine , art , mechanical engineering , cartography , pathology , neuroscience , engineering , visual arts , biology , geography , operating system
The public transit and roadway systems of large metropolitan areas transport millions of passengers in fleets of trains, buses and passenger cars to work, home, schools, entertainment and shopping. In addition, goods are moved every day on the same networks. The performance of these systems is critical for the orderly functioning of the city both in terms of human movement and the movement of goods. Currently, there isn’t a detailed monitoring system or a “dashboard” of Urban Mobility; a system that answers fine-grained questions such as: what is the crowding at a train station? how occupied are buses on in the peak time on a particular route? how can the available supply of transport capacity be better used to address daily demand as well as the demand on exceptional days (such as rallies and severe weather events).In this talk, we present a big data dashboard for urban mobility, describe its capabilities for operational and planning purposes, and as a learning syste

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