| KEYWORD |
Characterisation and analysis of car sharing utilization in Smart Cities
keywords BIG DATA, SMART CITITES
Reference persons DANILO GIORDANO, MARCO MELLIA, LUCA VASSIO
External reference persons Michele Cocca - DET e SmartData@PoliTO
Research Groups ICT4SS - ICT FOR SMART SOCIETIES, SmartData@PoliTO, Telecommunication Networks Group
Thesis type DATA ANALYSIS, EXPERIMENTAL
Description Recently our research group collected data about the usage of different Free Floating Car Sharing (FFCS) system providers. Thanks to these data, we extracted information about actual users’ driving patterns and studied different policies when designing car sharing for future mobility, e.g., with electric cars.
This thesis lies within this project and has the goal to exploit the collected data to:
- Study and characterize the service utilization in several cities
- Analyze the impact of different system design choices
- Validate different models for user behaviour
- Optimize new systems based on electric cars
Find trade-offs between quality of services and costs for the operators
Required skills Capacità di programmazione (linguaggi di alto livello come Python o Matlab)
Uso di piattaforme Big Data
Nozioni di base di statistiche e valutazione delle prestazioni
Nozioni di base di ottimizzazione
Notes La tesi si svolge all'interno del centro SmartData@PoliTO che si focalizza su data science e Big Data
Deadline 15/05/2019
PROPONI LA TUA CANDIDATURA