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ICT4SS - ICT FOR SMART SOCIETIES

Characterisation and analysis of car sharing utilization in Smart Cities

keywords BIG DATA, SMART CITITES

Reference persons DANILO GIORDANO, MARCO MELLIA

External reference persons Luca Vassio - DET e SmartData@PoliTO
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 Programming skills (high level languages like Python and Matlab)
Big data platform and paradigm,
Computation parallelization techniques
Basics of Statistics and Performance Evaluation
Basics of Optimization

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




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