Rescheduling/timetable Optimization of Trains Along the U.S. Shared-use Corridors

Rescheduling/timetable Optimization of Trains Along the U.S. Shared-use Corridors
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ISBN-10 : OCLC:1155112791
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Book Synopsis Rescheduling/timetable Optimization of Trains Along the U.S. Shared-use Corridors by : Pasi T. Lautala

Download or read book Rescheduling/timetable Optimization of Trains Along the U.S. Shared-use Corridors written by Pasi T. Lautala and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The majority of intercity passenger and commuter rail services in the U.S. operate on the shared-use corridors with freight rail services. These types of operations tend to be challenging for efficient capacity utilization and reliability due to the high heterogeneity of trains. As passenger traffic seeks higher speed and more frequencies, the situation is likely to be exacerbated. There are two main approaches to address the challenge, either by applying new capital investment (upgrading infrastructure components), or by modifying operational characteristics and parameters of the rail services (e.g. rescheduling and timetable management techniques). This project will build on current work to apply European and U.S. simulations software on shared use corridors. The objective is to develop a capacity parametric model that uses train timetable and optimization techniques to supplement rail operations simulation analysis toward improved capacity utilization levels of a given corridor. This study will focus on two existing shared use corridors. It will continue the work already initiated on Baltimore-Washington section of the Northeast Corridor and incorporate a segment of Michigan HSR corridor. The study will be based on actual infrastructure, signaling and train characteristics and will use outputs of the European simulation packages (Railsys and/or Opentrack) as well as Rail Traffic Controller (RTC), a common simulation package in the U.S., to evaluate different traffic scenarios and operational variables of the proposed model."--


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