Route profiling - putting context to work.
Citation:
Anthony Harrington and Vinny Cahill., Route profiling - putting context to work., Proceedings of the 19th ACM Symposium on Applied Computing (Ubiquitous Computing Applications track),, 19th ACM Symposium on Applied Computing (Ubiquitous Computing Applications track), March, Hisham Haddad, Andrea Omicini, Roger L. Wainwright, and Lorie M. Liebrock, ACM Press, 2004, 1567-1573Download Item:
Route Profiling.pdf (published (author copy) peer-reviewed) 153.7Kb
Abstract:
Intelligent Transportation Systems are characterised by a requirement
for detailed information on extensive transport networks. This
information is typically gathered from sensors deployed throughout
the network and is used for management and maintenance operations.
In this paper we present the design and prototype implementation
of a context-aware route profiling application intended for use
by road management authorities in the Republic of Ireland. Our
design allows data from a variety of sources to be combined to generate
detailed information on traffic flow and journey times along
the national road network. This information can be tagged with
relevant context data reflecting the conditions under which sensor
data was collected. The set of relevant contextual information includes
details on temporal, spatial, weather and road usage pattern
contexts.
The prototype implementation relies on GPS data from a fleet of
probe vehicles. An evaluation of this prototype is presented along
with a discussion on the benefits of using context-aware computing
techniques in a real world scenario.
Author's Homepage:
http://people.tcd.ie/vjcahillDescription:
PUBLISHED.
Author: CAHILL, VINNY
Other Titles:
Proceedings of the 19th ACM Symposium on Applied Computing (Ubiquitous Computing Applications track),19th ACM Symposium on Applied Computing (Ubiquitous Computing Applications track)
Publisher:
ACM PressType of material:
Conference PaperCollections:
Availability:
Full text availableKeywords:
Ubiquitous Computing, ITS, Context-AwareLicences: