| KEYWORD |
DATABASE AND DATA MINING GROUP - DBDM
Leveraging Machine Learning Analytics for Intelligent Transport Systems Optimization in Smart Cities
Parole chiave BIG DATA, DATA ANALYSIS, INTELLIGENT TRANSPORT SYSTEMS, MACHINE LEARNING, OPTIMIZATION
Riferimenti DANILO GIORDANO, MARCO MELLIA, LUCA VASSIO
Gruppi di ricerca DATABASE AND DATA MINING GROUP - DBDM, SmartData@PoliTO
Descrizione 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 .
Note Possible graduation prize of 2000 euros.
A GPA of at least 27/30 is requested.
Scadenza validita proposta 12/01/2025
PROPONI LA TUA CANDIDATURA