posted by organizer: drfxia || 7812 views || tracked by 11 users: [display]

IET ITS SI 2017 : IET Intelligent Transport Systems, Special Issue on Big Traffic Data Analysis and Mining

FacebookTwitterLinkedInGoogle

Link: http://digital-library.theiet.org/files/IET_ITS_CFP_BTD.pdf
 
When N/A
Where N/A
Submission Deadline Oct 1, 2017
Categories    computer science   data mining   big data   information systems
 

Call For Papers

Call for Papers

IET Intelligent Transport Systems
SPECIAL ISSUE ON: Big Traffic Data Analysis and Mining

Editors-in-Chief: Frank Lai, University of Leeds, UK and Margaret Bell, Newcastle University, UK

IET Intelligent Transport Systems seeks original manuscripts for a Special Issue on Big Traffic Data Analysis and Mining. In recent years, with the pervasive applications of intelligent transportation equipment such as GPS devices, traffic cameras, smart cards, and road deceleration devices, multisource traffic data are more easily collected than before. Analysing and mining the regularities hidden in traffic big data has been a hot research field associated with transportation management, urban planning, epidemic control, mobile platform application, and so on. This Special Issue will comprise state-of-the-art research in enabling Intelligent Transport Systems (ITS) with emphasis on big traffic data analysis and mining, including a broad range of enabling technologies in developing and optimizing the architecture, design, and operation of ITS.

Topics of interest include but are not limited to:

- Transportation optimization using big traffic data
- Traffic control and management based on big traffic data
- Transportation visualization based on big traffic data
- Community activity prediction based on big traffic data analysis
- Network science for big traffic data
- Public transportation priority based on big traffic data
- Data governance methods for big traffic data
- Data privacy for big traffic data
- Human behavior based on big traffic data
- Human mobility prediction and visualization leveraging big traffic data
- Big traffic data analysis for urban computing and decision-making
- Modeling and data mining for big traffic data

All papers must be submitted through the journal's Manuscript Central system: http://mc.manuscriptcentral.com/iet-its

Submission Deadline: 1 October 2017
Publication Date: September 2018

Guest Editors:
Feng Xia, Dalian University of Technology, China (Contact: f.xia@ieee.org)
Jianxin Li, University of Western Australia, Australia
Chakchai So-In, Khon Kaen University, Thailand
Joel J. P. C. Rodrigues, National Institute of Telecommunications (Inatel), Brazil


Related Resources

IET-JoE SI on Grid Resilience 2020   Special Issue on “Engineering Techniques & Technologies to Enhance Power System Resilience” - IET The Journal of Engineering
AVC 2020   Advances in Vision Computing: An International Journal
WBDE--JA, Scopus, EI (INSPEC, IET) 2020   2020 Workshop on Big Data Engineering (WBDE 2020)--JA, Scopus, EI (INSPEC, IET)
COMIT 2020   4th International Conference on Computer Science and Information Technology
IET Smart Cities 2020   IET Smart Cities: Geospatial Sensing, Mining & Analytics for Smart Cities
IoTE 2020   International Conference on Internet of Things & Embedded Systems
CSTE--JA, Scopus 2020   2020 The 2nd International Conference on Computer Science and Technologies in Education (CSTE 2020)--JA, Scopus & EI (INSPEC, IET)
WSDM 2021   14th ACM Conference on Web Search and Data Mining
ACM--RSAE--EI Compendex, Scopus 2021   ACM--2021 The 3rd International Conference on Robotics Systems and Automation Engineering (RSAE 2021)--EI Compendex, Scopus
ICPR-IETBiom-VSaaS 2021   25th ICPR Special Issue on Real-Time Visual Surveillance as-a-Service (VSaaS) for Smart Security Solutions in IET Biometrics