Recent Advances in the Use of GNSS-based Positioning for Intelligent Transport Systems Call for Papers

              IEEE Intelligent Transportation Systems Magazine  
                      Call for paper - special issue
 Recent Advances in the Use of GNSS-based Positioning for
 Intelligent Transport Systems

The civil applications of geopositioning are undergoing exponential
development. The latest market analysis for the Global Navigation
Satellite Systems shows two major fields of application which, all
together, practically share the whole of the market: Intelligent
Transport Systems (ITS), mainly in the Road ITS domain and Location
Based Services (LBS), accessible on smartphones and tablets. The
modernisation of Global Positioning System, of GLONASS and the
development of Galileo and Beidou are proceeding at fast pace,
introducing improved potential capabilities and higher performance
levels for satellite based positioning, leading to new architectures
for the positioning and to new strategies for the positioning by means
of other sensors. Despite of the fact that hybridisation is still part
of the core of the positioning architecture, the increased use of
satellite based positioning solutions such as RTK and PPP, is also
posing new challenges to the data fusion algorithms.
The availability
of low-cost double frequency GNSS receivers is a reality as well as
fast software radio implementations of GNSS receivers, where tight and
ultra-tight integration is made easier. In addition to classical
Inertial Measurement Units, such as accelerometers and gyroscopes of
high and low grade, different kind of sensors are being considered,
as, for example, magnetometers, barometers, cameras and mobile network
signals, as well as signals-of-opportunity.
Such sensors aim at
complementing the GNSS performance and the integrated system is the
core element for autonomous mobility, and in general of the future
connected vehicles. Furthermore, the 5G communication infrastructure,
defining V2V and V2X links and protocols, provides an effective
networking infrastructure for collaborative and cooperative
Rail and maritime transportations applications are taking
benefit of a widespread use of GNSS, and advanced solutions for the
integration with other navigation systems on board of trains and
vessels are under study. Advanced solutions are being devised to
increase accuracy of the navigation as well as reliability and
continuity in challenging environments.  Given this scenario, the
scope of this special issue is to collect perspectives papers on the
most advanced solutions for GNSS-based positioning in the road, rail
and maritime environments.

Contributions are expected to address, but are not limited to:

* Advanced GNSS-based positioning for ITS
* Data fusion for heterogeneous technologies
* Cooperative localization and navigation 
* Simultaneous localization and mapping (SLAM) 
* Network operation and scheduling for localization 
* Multi-agent control 
* Intelligent Transportation 
* Situational Awareness 
* Methods with robust performance for urban environment 
* Localization via signals of opportunity 
* Location-awareness for vehicular networks 
* Hybrid IMU and magnetic navigation 
* Localization methods and 5G
* Crowd-sensing 
* Joint navigation and communication 
* Security and privacy in localization 
* Mobility models for tracking 
* Testbeds and experimentation


Submission of full paper   September 1, 2018
1st review notification   November 1, 2018
Revised manuscript due   December 1, 2018
2nd  review notification   January 15, 2019
Revised manuscript due   February 15, 2019
Notification of final decision   March 15, 2019
Submissions will be reviewed according to the IEEE ITS Magazine
guidelines, and should not have been published or under review
elsewhere.  Submissions should be made online at

Guest Editors: 

Fabio Dovis (Lead guest editor) - 
Politecnico di Torino, Italy 

Rafael Toledo Moreo  (Associate editor) - 
Universidad Politécnica de Cartagena, Spain
Laura Ruotsalainen - 
Finnish Geospatial Research Institute, Finland

Vassilis Gikas -
National Technical University of Athens, Greece 

Zaher (Zak) Kassas - 
University of California at Riverside, USA