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Proposer
Neamat El Gayar
Title
Machine Learning Applications in transportation
Goal
Apply machine learning and time series forecasting methods to predict demand and optimize traffic flow
Description
Various topics possible related to: -Timeseries analyis and forecasting of demand (Metro /Tram) -Traffic incident analysis and recommendations Possible collaboration and internship with RTA (Details to be communicated later). Work with real data Projects allocated based on competitive merit
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Neamat El Gayar
Keywords
machine learning, time series prediction, demand forecasting
Degrees
Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Data Science
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