Discrete event simulation experiments and geographic informationsystems in congestion management planning
Wiley, R.B.; Keyser, T.K.
Simulation Conference Proceedings, 1998. Winter
Volume 2, Issue , 13-16 Dec 1998 Page(s):1087 - 1093 vol.2
Digital Object Identifier 10.1109/WSC.1998.745857
Summary: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
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