Poster presented at Staffordshire University, UK. 2010

1. ITS: predictive
vehicular networking
the team doing this
research in the
technology hub J. M. M. Kamal
Research
M. S. Hasan Dr. A. Carrington Prof. H. Yu
First Second Third
Student Supervisor Supervisor Supervisor
A major challenge nowadays for motorways
■ computing ■ multimedia
■ engineering ■ automotive
and urban city areas is to provide safety,
■ d e s i g n t e c h n o l o g y■ maths security and connectivity through inter-
■ electronics ■ usability vehicular and roadside communication.
■ film ■ mobile Intelligent Transportation System (ITS) is an
■ music ■ signals innovative concept to make cooperative
■ entertainment ■ environment
■ stats ■ mechanical
communication and maintain information flow
■ power ■ software between vehicles and traffic infrastructures. ITS
■ logistics ■ networks will facilitate traffic flow and congestion
■ forensics ■ intelligence management, accident detection and collision
■ virtual reality ■ im age systems avoidance, traffic signs and notifications, security,
road enforcement, congestion charging zones,
electronic toll collection, location, movement and
context-aware services, internet usage etc.
This research project delivers complete
network architecture, theoretical guidelines
with routing and packet forwarding techniques
based on predictive mobility data mining. Real-
life case studies on UK motorways and urban
areas will also provide a clear insight and
understanding on vehicular ad-hoc networking.
It will:
Provide opportunistic and delay tolerant
communication for vehicles through mobility
prediction and movement pattern mining.
Simulate the framework to judge the
applicability of vehicular communications
and compare with case-studies.
technologyhub@staffs.ac.uk
+44 (0)1785 353469
www.fcet.staffs.ac.uk/technologyhub
Faculty of Computing, Engineering and Technology
The Octagon
■ CREATE THE DIFFERENCE Staffordshire University
Beaconside, Stafford ST18 0AD