1000 resultados para Railroad companies


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On Sabbath desecration by the companies: revised and expanded version of letters "published about a year ago in one of the newspapers of Trenton."

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Caption title: The Santa Clara railroad tax case. County of Santa Clara v. Southern Pacific railroad company. And other similar tax cases.

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Signed (page 20): I.H. Williamson, Elizabethtown, Dec. 8th, 1834 ... Garret D. Wall, Burlington, Dec. 19th, 1834.

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"Together with the annual report of the railroad companies in this state for ... ; to which are added leading statistics prepared by the Commissioners" (varies)

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"With statistical tables compiled from the annual returns of the railroad companies operating railroads in the state, for the year ending ..., to which are added the decisions of the Board made during the year ..." (varies slightly).

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Combined annual reports of companies which administer railroads, navigation companies, turnpikes, etc.

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The U.S. railroad companies spend billions of dollars every year on railroad track maintenance in order to ensure safety and operational efficiency of their railroad networks. Besides maintenance costs, other costs such as train accident costs, train and shipment delay costs and rolling stock maintenance costs are also closely related to track maintenance activities. Optimizing the track maintenance process on the extensive railroad networks is a very complex problem with major cost implications. Currently, the decision making process for track maintenance planning is largely manual and primarily relies on the knowledge and judgment of experts. There is considerable potential to improve the process by using operations research techniques to develop solutions to the optimization problems on track maintenance. In this dissertation study, we propose a range of mathematical models and solution algorithms for three network-level scheduling problems on track maintenance: track inspection scheduling problem (TISP), production team scheduling problem (PTSP) and job-to-project clustering problem (JTPCP). TISP involves a set of inspection teams which travel over the railroad network to identify track defects. It is a large-scale routing and scheduling problem where thousands of tasks are to be scheduled subject to many difficult side constraints such as periodicity constraints and discrete working time constraints. A vehicle routing problem formulation was proposed for TISP, and a customized heuristic algorithm was developed to solve the model. The algorithm iteratively applies a constructive heuristic and a local search algorithm in an incremental scheduling horizon framework. The proposed model and algorithm have been adopted by a Class I railroad in its decision making process. Real-world case studies show the proposed approach outperforms the manual approach in short-term scheduling and can be used to conduct long-term what-if analyses to yield managerial insights. PTSP schedules capital track maintenance projects, which are the largest track maintenance activities and account for the majority of railroad capital spending. A time-space network model was proposed to formulate PTSP. More than ten types of side constraints were considered in the model, including very complex constraints such as mutual exclusion constraints and consecution constraints. A multiple neighborhood search algorithm, including a decomposition and restriction search and a block-interchange search, was developed to solve the model. Various performance enhancement techniques, such as data reduction, augmented cost function and subproblem prioritization, were developed to improve the algorithm. The proposed approach has been adopted by a Class I railroad for two years. Our numerical results show the model solutions are able to satisfy all hard constraints and most soft constraints. Compared with the existing manual procedure, the proposed approach is able to bring significant cost savings and operational efficiency improvement. JTPCP is an intermediate problem between TISP and PTSP. It focuses on clustering thousands of capital track maintenance jobs (based on the defects identified in track inspection) into projects so that the projects can be scheduled in PTSP. A vehicle routing problem based model and a multiple-step heuristic algorithm were developed to solve this problem. Various side constraints such as mutual exclusion constraints and rounding constraints were considered. The proposed approach has been applied in practice and has shown good performance in both solution quality and efficiency.

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The Buffalo and Brantford Railway Company was formed in 1850. The railway was renamed the Buffalo, Brantford & Goderich Railway in 1852 to reflect the plans to extend the line to Goderich. Financial problems led to a British group taking over the railway a few years later and the name was changed to the Buffalo & Lake Huron Railway. It was June 1858 before the line to Goderich was completed. Source: (http://brantford.library.on.ca/genealogy/railways.php#buffalo) March 8, 2010

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The Grand Trunk Railway initially ran from Montreal to Toronto, then with expansion of Canada operated to British Columbia, linking major cities together. In 1900, two way bill forms were completed; one for the Niagara Falls Wine Co. and the other for T.G. Bright & Co. Both companies were headquartered in Niagara Falls, Ont. The consignors were John Mayberry & Co. and John Eleareys?.

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With: Acts of Congress relating to the Union Pacific railroad and branches. Washington : J.L. Pearson, Printer, 1877. Bound together subsequent to publication.