Estimation of run times in a freight rail transportation network
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.
| প্রধান লেখক: | , |
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| অন্যান্য লেখক: | |
| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | eng |
| প্রকাশিত: |
Massachusetts Institute of Technology
2013
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/1721.1/77458 |
| _version_ | 1826191306736533504 |
|---|---|
| author | Bonsra, Kunal (Kunal Baldev) Harbolovic, Joseph |
| author2 | Başak Kalkancı and Eva M. Ponce Cueto. |
| author_facet | Başak Kalkancı and Eva M. Ponce Cueto. Bonsra, Kunal (Kunal Baldev) Harbolovic, Joseph |
| author_sort | Bonsra, Kunal (Kunal Baldev) |
| collection | MIT |
| description | Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2012. |
| first_indexed | 2024-09-23T08:53:52Z |
| format | Thesis |
| id | mit-1721.1/77458 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:53:52Z |
| publishDate | 2013 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/774582019-04-10T19:36:30Z Estimation of run times in a freight rail transportation network Bonsra, Kunal (Kunal Baldev) Harbolovic, Joseph Başak Kalkancı and Eva M. Ponce Cueto. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 49-51). The objective of this thesis is to improve the accuracy of individual freight train run time predictions defined as the time between departure from an origin node to arrival at a destination node not including yard time. A correlation analysis is conducted to identify explanatory variables that capture predictable sources of delay and influence run times for use in a regression model. A regression model is proposed utilizing the following explanatory variables: rolling historical average, congestion window, meets, passes, overtakes, direction, arrival headway, and departure headway to predict train run times. The performance of the proposed regression model is compared against a baseline simple historical averaging technique for a two year period of actual train operational data. The proposed regression model, though subject to specific limitations, offers substantial improvements in accuracy over the baseline technique and is recommended as justifying further exploration by the railroad to ultimately enable more accurate train schedules with subsequent improvements in railroad capacity, customer service, and asset utilization. by Kunal Bonsra and Joseph Harbolovic. M.Eng.in Logistics 2013-03-01T15:07:14Z 2013-03-01T15:07:14Z 2012 2012 Thesis http://hdl.handle.net/1721.1/77458 826901020 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 51 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Engineering Systems Division. Bonsra, Kunal (Kunal Baldev) Harbolovic, Joseph Estimation of run times in a freight rail transportation network |
| title | Estimation of run times in a freight rail transportation network |
| title_full | Estimation of run times in a freight rail transportation network |
| title_fullStr | Estimation of run times in a freight rail transportation network |
| title_full_unstemmed | Estimation of run times in a freight rail transportation network |
| title_short | Estimation of run times in a freight rail transportation network |
| title_sort | estimation of run times in a freight rail transportation network |
| topic | Engineering Systems Division. |
| url | http://hdl.handle.net/1721.1/77458 |
| work_keys_str_mv | AT bonsrakunalkunalbaldev estimationofruntimesinafreightrailtransportationnetwork AT harbolovicjoseph estimationofruntimesinafreightrailtransportationnetwork |