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Nigel H. M. Wilson and John P. Attanucci. Paul, Elizabeth Cheriyamadam Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering e-uk-en 2011-04-04T16:16:38Z 2011-04-04T16:16:38Z 2010 http://hdl.handle.net/1721.1/62047 707637386 Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010. "September 2010." Cataloged from PDF version of thesis. Includes bibliographical references (p. 114-115). The purpose of this thesis is to assess the feasibility of identifying which trains individual passengers take to get from their origin to destination while travelling in a high frequency urban rail transportation system. If this proves possible, the resulting information will inform capital and operations planning decisions as well as improve the ability to measure the aspects of passenger experience related to travel time and crowding. This thesis will first explore this idea by presenting the design, implementation, and application of a model that attempts to identify the selected train level itineraries through a temporal and spatial matching process. As a result of this process, the model is designed to estimate passenger loads, walk times, and the number of left behind passengers. The thesis will then assess the accuracy of these results by comparing them with figures produced by existing models. The model will be developed and applied in the context of the London Underground, but should also be applicable to other urban public transportation systems. Assessment of the results of this model and consideration of the challenges in the creating the model does not conclusively indicate that identifying the exact train a passenger selects to get from his origin to destination is possible. However, the results do indicate that the model has significant potential, and can be improved in future research. These initial results can serve as indicators on how to improve the model. by Elizabeth Cheriyamadam Paul. S.M. in Transportation 115 p. eng Massachusetts Institute of Technology 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 Civil and Environmental Engineering. Estimating train passenger load from automated data systems : application to London Underground Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="0c8f34f3-2b39-41aa-88f2-1e131d510592"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Estimating train passenger load from automated data systems : application to London Underground</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2010</PublicationDate> <Authors> <Author> <DisplayName>Paul, Elizabeth Cheriyamadam</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Civil and Environmental Engineering.</Keyword> <Abstract>The purpose of this thesis is to assess the feasibility of identifying which trains individual passengers take to get from their origin to destination while travelling in a high frequency urban rail transportation system. If this proves possible, the resulting information will inform capital and operations planning decisions as well as improve the ability to measure the aspects of passenger experience related to travel time and crowding. This thesis will first explore this idea by presenting the design, implementation, and application of a model that attempts to identify the selected train level itineraries through a temporal and spatial matching process. As a result of this process, the model is designed to estimate passenger loads, walk times, and the number of left behind passengers. The thesis will then assess the accuracy of these results by comparing them with figures produced by existing models. The model will be developed and applied in the context of the London Underground, but should also be applicable to other urban public transportation systems. Assessment of the results of this model and consideration of the challenges in the creating the model does not conclusively indicate that identifying the exact train a passenger selects to get from his origin to destination is possible. However, the results do indicate that the model has significant potential, and can be improved in future research. These initial results can serve as indicators on how to improve the model.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>