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CTS Events
SEMINAR
November 14, 2012 Dr. Nebiyou Tilahun, UPP, presents a seminar entitled "An agent based model of origin destination estimation (ADOBE)" Wednesday, November 14th at 4:00 pm in Rm 1127 SEO
SEMINAR
November 7, 2012 Mr. Thomas Murtha, CMAP, will address the CTS-IGERT community at 4:00 p.m. in Room 1127 SEO.
SEMINAR
October 24, 2012 Please join us in welcoming Dr. Bo Zou, CME, on Wednesday, October 24th, Room 1127 SEO, 4:00 p.m.
CTS Happenings
September 25, 2012
Award Received by Joshua Auld, CTS-IGERT alumnus.
April 20, 2012
Congratulations to James Biagioni, CTS Fellow and CS PhD candidate, winner of the Dean's Scholar award.
January 2, 2012
James Biagioni, CTS Fellow, receives "Best Presentation Award" at SenSys2011
July 30, 2010
Dr. Ouri Wolfson, Dr. Phillip Yu, and Leon Stenneth, CS student and CTS Associate, recently had a paper accepted to the 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010).
June 25, 2009
CTS-IGERT is honored fellow Josh Auld will present "Evaluating Transportation Impacts of Forecast Demographic Scenarios Using Population Synthesis and Data Transferability" at the weekly seminar, SEO 1000, 2 pm. Please check back for further details. Download: Evaluating Forecast Demographic Scenarios Using Population Synthesis and Data Simulation ABSTRACT: A new population synthesis tool has been developed which allows an analyst to input estimated future demographic scenarios for a modeled region and synthesize a population from base-year survey data based on those demographic changes. In addition, various data transferability models have been estimated to enable the transference of a collection of travel demand indicators from a source to a target population. The combination of the synthetic population with transferred travel demand indicators will allow for an impact of potential transportation impacts of estimated demographic changes without running a complete travel demand model. For this work, several future scenarios for the Chicago region were estimated based on the 2030 Chicago Regional Forecast demographic estimates. Various scenarios were created based on the more general scenario presented in this forecast estimate, to estimate how changes would be distributed geographically, and to estimate changes to demographic variables not considered in the Regional Forecast. A synthetic population was then generated using the 2000 census data for the region and updated using the various assumed scenarios. A set of travel demand indicator data transference models was then applied to each population. The travel data transference models are a series of models estimated using the 2000 NHTS data, which determine a series of travel indicators, such as average travel distance, number of trips per day, trips per day by mode, etc. These models can then be applied to the synthesized populations, to generate forecast travel indicators for the region. For each future scenario, the impacts of the assumed demographic changes in terms of travel demand are evaluated, against the baseline travel indicators. BIOGRAPHY Josh is a PhD student in the department of Civil and Materials Engineering at the University of Illinois at Chicago (UIC). His primary research interest is in the field of travel demand modeling, specifically focusing on activity-based modeling approaches. He received his B.S. from the University of Illinois at Urbana-Champaign (UIUC) in 2002 and his M.S. from UIC in 2007. His current research focuses on activity-based modeling using a behavioral process-based approach. This involves collecting and analyzing activity-scheduling and travel information to understand the underlying decision processes and integrating these processes into the full travel demand model. His advisors are Dr. Abolfazl (Kouros) Mohammadian (Civil and Materials Engineering) and Dr. Peter Nelson (Computer Science). |
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