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Visible to the public Dmodel: Online Taxicab Demand Model from Big Sensor Data in a Roving Sensor Network

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Submitted by el_wehby on Fri, 05/25/2018 - 3:50pm
TitleDmodel: Online Taxicab Demand Model from Big Sensor Data in a Roving Sensor Network
Publication TypeConference Paper
Year of Publication2014
AuthorsD. Zhang, T. He, S. Lin, S. Munir, J. A. Stankovic
Conference Name2014 IEEE International Congress on Big Data
Date PublishedJune
Keywords1536086, Accuracy, Big Data, big sensor data, Context, customized online training, Dmodel, inference mechanisms, Meteorology, mobile computing, online taxicab demand model, passenger arriving moments inference, passenger demand inference, pickup pattern, real-time mobile sensors, Real-time Systems, real-world logical information, Roads, roving sensor network, roving taxicabs, Sensors, taxicab business, traffic information systems, Training, Wireless sensor networks
DOI10.1109/BigData.Congress.2014.30
Citation Key6906773
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  • pickup pattern
  • wireless sensor networks
  • Training
  • traffic information systems
  • taxicab business
  • sensors
  • roving taxicabs
  • roving sensor network
  • Roads
  • real-world logical information
  • real-time systems
  • real-time mobile sensors
  • Accuracy
  • passenger demand inference
  • passenger arriving moments inference
  • online taxicab demand model
  • mobile computing
  • Meteorology
  • inference mechanisms
  • Dmodel
  • customized online training
  • Context
  • big sensor data
  • Big Data
  • 1536086

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