Identification of link congestion dependence patterns for dynamic route guidance
File(s)Hu- ITS WC 2007.pdf (389.22 KB)
Accepted version
Author(s)
Hu, J
Kaparias, I
Bell, M
Type
Conference Paper
Abstract
This study explores the congestion dependence relationship among links using microsimulation,
based on data from a real road network. The work is motivated by recent innovations to improve
the reliability of Dynamic Route Guidance (DRG) systems. By adding a function to predict the
congestion in the road network, the reliability of DRG systems can be significantly enhanced.
The identification of link congestion dependence patterns is considered to be the first step
towards this target. Previous work on link reliability and failure dependence relationships is
reviewed and the results of simulation and analysis are presented here.
based on data from a real road network. The work is motivated by recent innovations to improve
the reliability of Dynamic Route Guidance (DRG) systems. By adding a function to predict the
congestion in the road network, the reliability of DRG systems can be significantly enhanced.
The identification of link congestion dependence patterns is considered to be the first step
towards this target. Previous work on link reliability and failure dependence relationships is
reviewed and the results of simulation and analysis are presented here.
Date Issued
2007
Date Acceptance
2007-03-01
Citation
PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007, 2007
Journal / Book Title
PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007
Copyright Statement
© 2007 The Authors
Source
14th World Congress on Intelligent Transportation Systems
Publication Status
Published
Start Date
2007-10-12
Coverage Spatial
Beijing, China