Using real time traveler demand data to optimize commuter rail feeder systems /

Using real time traveler demand data to optimize commuter rail feeder systems /

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 an...

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Bibliographic Details
Main Author: Yu, Yao
Corporate Authors: University of Texas at Austin, Southwest Region University Transportation Center (U.S.), University Transportation Centers Program (U.S.)
Other Authors: Machemehl, Randy B.
Format: Book
Language:English
Published: Austin, Tex. : Springfield, Va. : Southwest Region University Transportation Center, Center for Transportation Research, University of Texas at Austin ; Available through NTIS, [2012]
Series:earch report (Southwest Region University Transportation Center (U.S.)) ; 12/476660-00078-1.
Subjects:
Railroads > Texas > Austin > Commuting traffic > Management.
Local transit > Texas > Austin > Management.
Railroad commuter service.
Optimization.
Commuter Rail Circulator Network Design Problem > CRCNDP > Real-time operation > Route design > Adaptive Tabu Search > Mixed integer program
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Call Number: TA1001 .R477 no.12/476660-00078-1
 
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TA1001 .R477 no.12/476660-00078-1 Available