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shafahi--yosef
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Application of Machine Learning Algorithms on Railway Track Deterioration Modeling
, M.Sc. Thesis Sharif University of Technology ; Shafahi, Yosef (Supervisor)
Abstract
The vital and influential role of railways in the socio-economic growth and development of countries, along with the high costs of rehabilitation and maintenance of its infrastructure, has made the existence of a comprehensive maintenance management system a necessity to not only elevate the level of service, reliability, and safety but also to minimize such repair costs. Accurate modeling of track deterioration is essential as one of the components of such systems.In this study, a large database from outputs of EM120, track recording machine, was provided for the years 2009 to 2018 and for all 18 railway zones of Iranian Railways (approximately 13,000 km railway track and 80 GB of data)....
A Method for Multi-period Network Design Problem Considering Network Resiliency for Metro Network: A Case Study of Tehran Metro Network
, M.Sc. Thesis Sharif University of Technology ; Shafahi, Yosef (Supervisor)
Abstract
In this research, the multi-period network design problem of metro networks with the aim of maximizing network resilience redefined. In this regard, first the resilience of the metro network studied and a quantitative criterion for measuring resilience proposed. This criterion is presented using the shortest paths between each origin-destination based on the characteristics of the network graph. Then, a model for obtaining the metro network archery scheduling program introduced with the aim of maximizing resilience and taking into account budget constraints in each period, lost user demand, arc construction constraints in one period and feasibility of total construction of arcs in each...
Application of Deep Learning Algorithms in Railway Track Deterioration Modeling
, M.Sc. Thesis Sharif University of Technology ; Shafahi, Yosef (Supervisor)
Abstract
Rail track deterioration models are integral components of rail infrastructure maintenance management systems. In particular, track geometry defects are one of the leading causes of train accidents, and control, management, and modification of the track geometric conditions are among the most important tasks of railway maintenance management systems. Track geometry data such as profile, alignment, gauge, cross-level, and twist constantly change over time. Therefore, these features have the characteristics of time series data.In this study, a large database from outputs of EM120, a track recording machine, was provided for the years 2009 to 2020 and for all 19 railway zones of Iranian...