Improving
the Estimation of Travel Demand for Traffic Simulation
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(Intelligent Transportation Systems Institute, $199,763, 2 years, PI -
David Levinson) (Co-PIs Gary Davis and Panos Michalopoulos, RAs Satya Muthuswamy
and Yao Wu)
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Original Abstract:
Traffic Simulation is only as good as its input data. Unfortunately, it
is impossible to inexpensively measure entry ramp to exit ramp flows, which
would be particularly useful for testing ramp metering control strategies.
In the past, research supported by MnDOT and CTS has produced a viable method
for estimating freeway Origin Destination (O-D) patterns from loop detector
data. This research will further develop and apply those methods to estimate
O-D demand for use in traffic simulation of freeway sections and corridors.
We require zone to zone traffic flows from a transportation planning model,
and the flows entering (and ideally exiting) on freeway ramps. The objective
is to estimate the traffic from each on-ramp to each downstream off-ramp
in short time intervals (e.g. 5 min.). This research will include development
and implementation of software to enable the method to be used conveniently
with easy to collect data. It will then apply the method to selected corridors
being analyzed in the Transportation Modeling Laboratory: (TramLab) including
I-35W and TH-169.
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Final Report
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Presentations and Publications
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Master's Theses
- Satya Muthuswamy - May 2002 – Estimation of Origin Destination
Matrices for Freeway Sections Using Detector Data (co-advised with Panos
Michalopoulos)
- Yao Wu – Spring 2003 - Estimation Of Origin-Destination Matrices
For Freeways (co-advised with Gary Davis)
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