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Leveraging Machine Learning Analytics for Intelligent Transport Systems Optimization in Smart Cities

keywords BIG DATA, DATA ANALYSIS, INTELLIGENT TRANSPORT SYSTEMS, MACHINE LEARNING, OPTIMIZATION

Reference persons DANILO GIORDANO, MARCO MELLIA, LUCA VASSIO

Research Groups DATABASE AND DATA MINING GROUP - DBDM, SmartData@PoliTO

Description Electrification and big data are changing the design of transport systems. The availability of large amounts of data collected by black boxes for insurance or safety opens innovative challenges and opportunities to improve transport systems and reduce carbon footprint.

The research will focus on effective machine learning pipelines for multiple purposes including proposing new policies, optimising fleets, designing electrified systems, etc., with a focus on the comparison of ICE/Electric car impact .

Notes Possible graduation prize of 2000 euros.
A GPA of at least 27/30 is requested.


Deadline 12/01/2025      PROPONI LA TUA CANDIDATURA




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