The workshop focuses on context-aware or data-driven smart cities and smart Intelligent Transport Systems (ITS). 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 and town planners. Fleets of smart cars can be a distributed computational and sensing resource. An 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, visualization, and security, to name a few. The workshop aims to bring together interested researchers and practitioners.
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
The workshop aims to bring together researchers, industry practitioners and the community interested in context reasoning, information, knowledge and analytics within the context of pervasive computing for smart cities and ITS.
We invite submissions of regular papers of up to 6 pages.
All papers included in the PerCom 2016 Workshops will appear in the conference proceedings published by IEEE.
Manuscripts must be formatted in accordance with the IEEE Computer Society author guidelines. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found at the IEEE Computer Society website.
Submission link at EDAS.
There will be no separate registration for workshops, but one single registration will cover both conference and workshops participation. It is mandatory that at least one author will register and will participate to illustrate the paper during technical sessions of workshops.
Workshops Papers due by:
November 27, 2015 December 11, 2015
Workshops Paper notification due by:
January 2, 2016 January 8, 2016
Workshops camera ready due by: January 15, 2016
Author registration due by: January 15, 2016