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ICT4SS - ICT FOR SMART SOCIETIES

Vehicular Traffic modelling from Car Sharing Data

keywords DATA ANALYSIS, SIMULATION

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 SIMULATION AND DESIGN

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. We implemented a trace driven simulator to replay collected users’ trips and simulate system for different design parameters. It is fundamental to study new scenarios and implement fast and accurate models to optimize the system.

This thesis lies within this project and has the goal to exploit the collected data to:
- Analyze the collected traces, characterizing the service demand in several cities
- Extract meaningful traffic matrices
- Create a generative non-stationary model for reproducing the movements within different cities
- Analyze the impact on the system of different traffic demands

Required skills Programming skills (high level languages like Python or Matlab)
Basics of Modelling and Statistics
Performance Evaluation

Notes La tesi si svolgerà nell'ambito del centro interdipartimentale SmartData@PoliTO che si focalizza su data science e big data


Deadline 15/05/2019      PROPONI LA TUA CANDIDATURA




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