By Topic

Discrete event simulation experiments and geographic information systems in congestion management planning

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wiley, R.B. ; RMC Inc., Pueblo, CO, USA ; Keyser, T.K.

A regional transportation system and the movement of large traffic volumes through it, are characteristic of stochastic systems. The standard traffic management or transportation planning approach uses a slice in time view of the system. Static, mean values of system variables are used for the basis of incident-caused, congestion management decisions. By reason of the highly variable nature of transportation systems, discrete event simulation is used in the planning process. The simulation model is highly dependent on the spatial accuracy of real world coordinates of nodes and the lengths of the roadway network links. Link travel times, queue spill back and turn lane queue size are directly related to the magnitude of incident-caused congestion, and the roadway system's ability to recover from it. The incorporation of accurate geographic information system (GIS) data with a powerful transportation simulation software package and properly designed data collection and analysis techniques are invaluable in support of transportation incident management decisions

Published in:

Simulation Conference Proceedings, 1998. Winter  (Volume:2 )

Date of Conference:

13-16 Dec 1998