Statistical Methodes for Urban Travel Time Estimation

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Falaki, Pariya | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 53017 (02)
University: Sharif University of Technology
Department: Mathematics
Advisor(s): Alishahi, Kasra
Abstract:
Travel time estimation is a central issue in the urban transportation industry and is the basis of many analyses and services in businesses related to this area. In the past few years, various statistical approaches have been devised to solve this problem. The purpose of this dissertation is to review existing methods by focusing on segment-based approaches for urban travel time estimation. A big challenge is the small amount of data in hand compared to the size of the urban network. Exploring historical data and extracting correlation between urban network segments leads to modeling the urban traffic condition and travel time estimation in one specific time interval of the day
Keywords:
Statistical Methods ; Travel Time Estimation ; Travel Time ; Town Trip ; Validation ; Urban Transportation Network