3207
Incorporating Inclement Weather Impacts on Traffic Estimation and Prediction
Recorded Presentations from the meeting are now available. A folder icon represents that recordings are available for at least one presentation in the session.
Purchasing Recording Access: ITS America is now offering the option to purchase whole meeting or track access to the recordings if you were not a full registered attendee of the meeting. You may Purchase Full Meeting Access or you will have the option to purchase just individual track access. If you want to purchase multiple tracks, you will need to browse to a recording in each track to purchase that individual track. Full registered meeting attendees still have free access using their registration credentials. Please email papers@itsa.org if you need your registration credentials sent to you.
Session Number Key:
PL=Plenary Sessions
AM=Annual Meeting Sessions
ES=Executive Sessions
SS=Special Interest Sessions
TS=Technical and Scientific Sessions
IS=Interactive Sessions
PAITS=Pan American ITS Sessions
IBEC=Internatiol Benefit, Evaluation, and Cost Sessions
*Ceremony and Plenary videos can be found at www.itsworldcongress.org
Tuesday, October 18, 2011: 11:10 AM
S320D (Orange County Convention Center )
David Samba
,
Kimley-Horn & Associates, Herndon, VA
Byungkyu (Brian) Park
,
University of Virginia, Charlottesville, VA
Description of Paper:
Traffic simulation models should reflect a wide variety of operating and environmental conditions in order to be useful in estimation and prediction of real world traffic behavior. One area that traffic simulations have to accurately model is the effect that weather has on driver behavior and traffic flow characteristics. Recently, the Northwestern University and the University of Virginia have addressed this deficiency by investigating observed impacts of weather on both the supply and demand of traffic networks. This paper has two research purposes: to present the methodology for incorporating weather impacts into the DYNASMART-P traffic estimation and prediction tool and to assess the relative accuracy and fidelity of the developed weather module.
Full Paper:
![[Visit Client Website]](images/banner.jpg)