TRANSIMS: Applications and Development Workshop
April 8–9, 2010
The Schedule-Based transit model of the Chicago Metropolitan Area
Vadim Sokolov
Transportation Research and Analysis Computing Center
Argonne National Laboratory
List of Authors
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Vadim Sokolov
Transportation Research and Analysis Computing Center
Argonne National Laboratory
277 International Drive
West Chicago, IL 60185
Abstract
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Usually public transit systems are modeled using so called frequency based approach. In this case transit route times are defined in terms of frequencies and a route is defined in terms of a sequence of nodes. On the other hand TRANSIMS allows a transit system to be modeled in a much more detailed manner. It is possible to model the schedule-based run times as well as the spatial location of the transit stops. The schedule-based approach allows modeling a transit route in terms of runs, using the exact arrival and departure times at the stops for each of the vehicles. However, this modeling approach requires accurate data about the schedules and the associated information about the paths as well as stop locations. TRACC recently developed a methodology, which allows the data in the Google Transit Feed (GTF) format to be used to synthesize the corresponding transit model in TRANSIMS. The GTF data is the data which is collected by Google from transit authorities to provide step-by-step transit directions for Google's customers.
Biography
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Vadim Sokolov received his diploma degree in 2004 from Rostov State University, Russia. In 2005 he received his Masters degree and later in 2008 his PhD in mathematics from Northern Illinois University.. During his undergraduate years Vadim worked as an assistant at the Linux cluster lab of the High Performance Computing Center at Rostov State University. For the last year of his PhD, Vadim worked as a research assistant at Argonne National Laboratory. After graduation he became a research scientist at the Transportation Research and Analysis Computing Center of Argonne National Laboratory.