Avoiding the crowds: Understanding Tube station congestion patterns from trip data

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 134-141

  Ceapa, Irina ^a   Smith, Chris ^a   Capra, Licia ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

mobility; predictions; public transport

Indexed keywords

ADVANCED TRAVELLER INFORMATION SYSTEMS; AUTOMATED FARE COLLECTION; DATA SETS; LONDON UNDERGROUND; PUBLIC TRANSPORT; SHORT TIME INTERVALS; SPATIOTEMPORAL ANALYSIS; TRAVEL PATTERNS;

CARRIER MOBILITY; FORECASTING; TRAFFIC CONGESTION; TUBES (COMPONENTS);

ADVANCED TRAVELER INFORMATION SYSTEMS;

EID: 84866045045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2346496.2346518     Document Type: Conference Paper

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