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The First International Workshop on Context-Aware Smart Cities and Intelligent Transport Systems focuses on context-aware or data-driven smart cities and smart Intelligent Transportation Systems (ITS).

This workshop is affiliated with IEEE PerCom 2016, held in Sydney (Australia),  March 14-18, 2016.

There have been tremendous emerging developments in sensor and context-driven and IoT-enabled (Internet of Things) smart cities and transportation, with applications for citizens, local authorities, communities, businesses,  and town planners.

Fleets of smart cars can be a distributed computational and sensing resource. Also, increasingly large crowds of people are being equipped with sensor-rich mobile and wearable devices, yielding Big Data arising from such environments, e.g., GPS data and social activity data, which can facilitate wide-scale crowdsensing and crowdsourcing, contributing towards data acquisition in smart city applications. With such data, both centralized analytics and decentralized analytics could play a key role in data sense-making and decision making. Also, such analysis can be combined with data from increasingly deployed fixed sensors or IoT infrastructure in the city.

Context-aware applications in the smart city are numerous, from transportation, energy, safety to low-carbon living. There are many context reasoning and data acquisition, analytics and knowledge management issues in ITS and smart cities, such as architectural and algorithmic issues, incentive mechanisms, energy-efficiency, data verification, cost-efficiency, urban data issues, data privacy and security, to name a few.

The outcome will be a collection of key papers in the area, providing a summary of current state-of-the-art as well as identifying directions for key research directions. We also hope to produce a post-workshop position paper providing a summary perspective and future directions for work in the area. A community of researchers and practitioners will also be created and nurtured via this workshop.

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Topics include, but are not limited to, the following:

  • techniques for real-time urban awareness
  • algorithms for mobile analytics
  • context-aware computing in ITS and smart cities
  • activity recognition for ITS and smart cities
  • data-driven ITS
  • concepts of aware cities
  • urban Internet of Things
  • crowdsourcing for mobile data acquisition and analytics
  • incentive management for smart city participatory apps
  • smart city applications using Big Data
  • ITS applications using Big Data
  • real-time analytics with ITS and smart city data
  • issues for on-mobile analytics and data stream processing
  • centralized analytics and Cloud approaches for mobile context data
  • privacy and security issues and algorithm in data acquisition and analytics
  • spatial data management and analytics for ITS and smart cities
  • data and situation visualization for smart cities
  • human-machine synergies for awareness in ITS and smart cities
  • mobile social networks in smart cities
  • urban social network applications such as transportation, health, and planning
  • ontologies and knowledge based techniques for information systems relevant to places and smart city querying and descriptions
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重要日期
  • 03月18日

    2016

    会议日期

  • 03月18日 2016

    注册截止日期

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