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" A stochastic Bayesian update and logistic growth mapping of travel-time flow relationship "
Mohammad Mofigul Islam Molla
Stone, Matthew L.
Document Type
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Latin Dissertation
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Language of Document
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English
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Record Number
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804435
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Doc. No
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TL49266
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Call number
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1878910107; 10254186
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Main Entry
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Nair, Rashmi
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Title & Author
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A stochastic Bayesian update and logistic growth mapping of travel-time flow relationship\ Mohammad Mofigul Islam MollaStone, Matthew L.
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College
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North Dakota State University
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Date
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2017
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Degree
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Ph.D.
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field of study
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Civil Engineering
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student score
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2017
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Page No
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224
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Note
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Committee members: Bai, Yong; Huang, Ying; Siddiqui, Chowdhury K. A.
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Note
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Place of publication: United States, Ann Arbor; ISBN=978-1-369-62327-7
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Abstract
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The travel-time flow relationship is not always increasing in nature, it is very difficult to predict precisely. Traditional method fails to replicate this unique conditions. Until millennium, although various researchers and practitioners have given much attention to develop travel-time flow relationships, the advancement to improve travel-time flow relationships was not substantial. The knowledge about the travel-time flow relationship is not commensurate with or parallel to the advancement of new knowledge in other fields. After millennium, most investigators did not devote enough attention to create new knowledge, except for application and performance evaluation of the existing knowledge. Therefore, it is necessary to provide a new theoretical and methodological advancement in travel-time flow relationship.
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Subject
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Civil engineering; Transportation planning; Urban planning
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Descriptor
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Social sciences;Applied sciences;Travel -time prediction;Travel data collection;Travel time delay;Travel time flow;Virtual sensor;Volume delay function
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Added Entry
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Stone, Matthew L.
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Added Entry
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Civil EngineeringNorth Dakota State University
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