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X-WR-CALNAME:ISE Graduate Seminar: Omer Verbas
X-WR-TIMEZONE:Eastern Time (US & Canada)
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DTSTAMP:20260711T113011Z
UID:tag:localist.com\,2008:EventInstance_47737214751267
DTSTART:20211112T203000Z
DTEND:20211112T213000Z
DESCRIPTION:Presenter: Omer Verbas\, Technical Lead at the Argonne National
  Laboratory\n\nSeminar Title: An Integrated Approach to Transit Optimizati
 on Using Agent-Based Transportation System Simulation\n\n \n\nAbstract:\n\
 nTransit service design consists of four consecutive steps 1) Route design
 \, 2) Frequency setting and timetabling\, 3) Vehicle assignment\, 4) Crew 
 assignment. Each of these steps require a mix of optimization algorithms a
 nd engineering judgement. Moreover\, there are multiple feedback loops bet
 ween these steps as one imposes constraints on the others. While large-sca
 le transit agencies such as Chicago Transit Authority rarely change their 
 route design\, every few years they do major updates to their schedules\, 
 and every quarter they do minor updates. The major drawback of most transi
 t optimization frameworks in the literature and in practice is in demand r
 esponse. A transportation system with all its modes (car\, transit\, taxi\
 , TNC\, walking and other active modes etc. in traffic) and human decision
  making (activity planning\, location\, timing\, mode\, route choices) is 
 a complex adaptive system. As a result\, it is not an easy undertaking to 
 capture the potential impact of a service change such as changing route fr
 equencies\, adding Bus Rapid Transit (BRT) lines etc. To this end\, we are
  using POLARIS\, a high-performance agent-based modeling framework develop
 ed at Argonne National Laboratory to simulate large-scale transportation s
 ystems and estimate impacts on mobility at the regional level. Several sce
 nario results will be presented that were developed through collaborations
  with the Chicago Transit Authority (CTA) and Regional Transportation Auth
 ority (RTA).\n\n \n\nBio: \n\nÖmer Verbas is the Technical Lead for Netwo
 rk Modeling and Simulation at the Transportation Systems & Mobility Group 
 at Argonne National Laboratory. His primary research areas are in transpor
 tation network modeling\; multi-modal routing\, assignment\, and simulatio
 n\; transit network design and scheduling\; and charging and routing behav
 ior of drivers with electric vehicles (EV). He was the Principal Investiga
 tor of the Department of Energy (DOE) High Performance Computing for Mobil
 ity (HPC4Mobility) project entitled “Chicago Transit Authority Transit N
 etwork Efficiency and the Changing Mobility Landscape”. Throughout his c
 areer at Argonne\, Dr. Verbas has been working on several transit and EV-r
 elated tasks under the SMART Mobility Consortium\, an effort led by the De
 partment of Energy (DOE) and multiple National Laboratories that aims to d
 eliver new data\, analysis\, and modeling tools\, and create new knowledge
  to support smarter mobility systems. He has won the “Pacesetter Award
 ” at Argonne for his work on transit models\, the “Impact Argonne Awar
 d” once for his work for the SMART Mobility Consortium and another time 
 for his work related to COVID impact.\n\n\nPrior to joining Argonne\, Dr. 
 Verbas completed his doctoral studies at Northwestern University in 2014\,
  where he also worked as a postdoctoral fellow until 2016. In 2012\, he wa
 s the lead student researcher for the project entitled “Design of Chicag
 o Transit Authority (CTA) Network”. The project focused on optimizing CT
 A schedules to reduce crowding and waiting times. Ömer Verbas has several
  publications in high-impact transportation journals. He also serves as a 
 reviewer for these journals. He is actively working in the Transportation 
 Network Modeling Committee (ADB30) on the Transportation Research Board of
  the National Research Council.
LOCATION:
SUMMARY:ISE Graduate Seminar: Omer Verbas
URL;VALUE=URI:https://calendar.utk.edu/event/ise-graduate-seminar-omer-verb
 as
CATEGORIES:Lectures & Presentations
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