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Accession Number PB2013-103261
Title Using Real Time Traveler Demand Data to Optimize Commuter Rail Feeder Systems.
Publication Date Aug 2012
Media Count 111p
Personal Author R. Machemehl Y. Yu
Abstract This report focuses on real time optimization of the Commuter Rail Circulator Route Network Design Problem (CRCNDP). The route configuration of the circulator system where to stop and the route among the stops is determined on a real-time basis by employing adaptive Tabu Search to timely solve a Mixed Integer Program (MIP) problem with an objective to minimize total cost incurred to both transit users and transit operators. Numerical experiments are executed to find the threshold for the minimum fraction of travelers that would need to report their destinations via smart phone to guarantee the practical value of optimization based on real-time collected demand against a base case defined as the average performance of all possible routes. The adaptive Tabu Search Algorithm is also applied to three real-size networks abstracted from the Martin Luther King (MLK) station of the new MetroRail system in Austin, Texas.
Keywords Austin(Texas)
Commuter Rail Circulator Route Network Design Problem(CRCNDP
Commuter rail systems
Commuter rail users
Mixed Integer Program(MIP)
Rail freight
Real time optimization
Route configuration
Transit operators
Transit users
Urban transportation systems

Source Agency Department of Transportation Office of University Research
Texas Transportation Institute Texas A&M University
NTIS Subject Category 85C - Metropolitan Rail Transportation
91B - Transportation & Traffic Planning
43G - Transportation
85I - Railroad Transportation
Corporate Author Texas Univ. at Austin. Center for Transportation Research.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1307
Contract Number DTRT07-G-0006

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