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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).
July 19, 2010
Troy Hernandez, CTS Fellow, will present a seminar entitled "Prediction of Travel Times for CTA Buses" on Monday, July 19th at 4:00 p.m. in Room 1000 SEO. Articles sited: “Similarity-Based Prediction of Travel Times for Vehicles Traveling” http://portal.acm.org/citation.cfm?id=1463452&dl=GUIDE&coll=GUIDE&CFID=88121112&CFTOKEN=34762863 “Bus Arrival Time Prediction Using Support Vector Machines 5” Journal of Intelligent Transportation Systems, Volume 10, Issue 4 October 2006 , pages 151 – 158 http://www.informaworld.com/smpp/content~db=all~content=a759169461 Abstract: Bus arrival prediction times are useful to many passengers of public transportation. There are many features of the environment that can be used to predict bus arrival times and many possible representations of these features. Two representations used to predict bus arrival times are discussed: a memoryless representation that uses only the current state of the bus and a full-memory or trajectory-based representation that uses the full history of the bus run. Biography: Troy Hernandez is a Statistics PhD Candidate in the Department of Mathematics, Statistics, and Computer Science. He is interested in statistical learning theory and its applications. |
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