Call For Papers [apologize for Cross-Posting] (DEADLINE EXTENSION)
Knowledge Discovery from
Mobility Data for Intelligent Transportation Systems
Special Issue on IEEE Transactions on Intelligent Transportation Systems
The recent technological advances on telecommunications create a new reality on
mobility sensing. Nowadays, we live in an era where ubiquitous digital devices
are able to broadcast rich information about human mobility in real-time and at
a high rate. Such fact exponentially increased the availability of large-scale
mobility data which has been popularized in the media as the new currency,
fueling the future vision of our smart cities that will transform our lives.
The reality is that we just began to recognize significant research challenges
across a spectrum of topics. Consequently, there is an increasing interest
among different research communities (ranging from civil engineering to
computer science) and industrial stakeholders on build knowledge discovery
pipelines over such data sources. However, such availability also raise privacy
issues that must be considered by both industrial and academic stakeholders on
using these resources.
This special issue intends to bring together transdisciplinary researchers and
practitioners working in topics from multiple areas such as Data Mining,
Machine Learning, Numerical Optimization, Public Transport, Traffic
Engineering, Multi-Agent Systems, Human-Computer Interaction and
Telecommunications, among others. The ultimate goal of this venue is to
evaluate not only the theoretical contribution of the data driven methodology
proposed in each research work, but also its potential deployment/impact as
well as its advances with respect to the State-of-the-Art/State-of-the-Practice
in the domains of the related applications.
This special issue will be published in IEEE Transactions on Intelligent
Transportation
Systems<http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979> entitled
Knowledge Discovery from Mobility Data for Intelligent Transportation Systems.
Special Issue scope (not restrictive):
* Different transportation modes and their interactions (road, rail,
air and water-based);
* Intelligent and real-time public transport control and operational
management;
* Transportation planning and management;
* Trajectory mining and related applications;
* Failures detection and preventive maintenance;
* Distributed and ubiquitous transport technologies and policies;
* Travel demand analysis and prediction;
* Advanced traveler information systems;
* Intelligent mobility models and policies for urban environments;
* Automatic assessment and/or evaluation on the transport reliability
(planning, control and other related policies);
* Human mobility mining and pervasiveness applications;
* Privacy in collecting, storing and analyzing pervasive
mobility/transportation data;
* Traffic control and demand forecasting for high-speed roadways;
* Pedestrians traffic analysis, prediction and safety issues;
* Social impact, land-use and trend analysis;
* Transit assignment and Activity-Choice models;
* Human Risk Factor Mining on Driving;
Important Dates (tentative):
* IEEE T-ITS Special Issue - First Submission Deadline (EXTENDED): 14th
December 2017 (hard)
* IEEE T-ITS Special Issue - Notification of First Decision: 28th
February 2018
* IEEE T-ITS Special Issue - Notification of Final Decision: 30th April
2018
* IEEE T-ITS Special Issue - Camera Ready Deadline: 31st May, 2018
* IEEE T- ITS Special Issue - Issue of Publication: October, 2018
* (KnowMe Workshop day: 22nd September, 2017)
Thank you for your contribution.
Guest Editors:
Luis Moreira-Matias - NEC Laboratories Europe, Germany
Rahul Nair, IBM Research Ireland
Roberto Trasarti, KDD Lab ISTI-CNR, Pisa, Italy
Cristina Olaverri - Technikum Wien, Austria
Joao Gama - University of Porto, Portugal
========================================
Luis Moreira-Matias (Ph.D.)
Senior Researcher, Intelligent Transportation Systems Group
Social Solutions Research Division
NEC Laboratories Europe
Kurfürsten-Anlage 36
D-69115 Heidelberg, Germany
phone +49 6221 4342 261
mobile +49 163 2751 744
fax +49 6221 4342 155
e-mail: [email protected]<mailto:[email protected]>
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Road|London, HA4 6QE, GB | Registered in England 2832014
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