In this page we provide the results of the simulations and the script to replicate the figures of the papers:
- M. Barulli, A. Ciociola, M. Cocca, L. Vassio, D. Giordano, M. Mellia. On Scalability of Electric Car Sharing in Smart Cities. In: 2020 IEEE International Smart Cities Conference (ISC2), pp. 1-8, 2020. DOI: 10.1109/ISC251055.2020.9239086
- M. Barulli, A. Ciociola, M. Cocca, L. Vassio, D. Giordano, M. Mellia. “System Sustainability and Scalability of Electric Car Sharing: A Data-driven Approach” currently under review.
The cost model allows one to interactively observe what happens by changing the cost values.
Traffic Data and ModelsTemporal Residual
The shared Jupyter notebooks are meant to replicate and share results of the paper “On Scalability of Electric Car Sharing in Smart Cities” submitted to IEEE International Smart Cities Conference (ISC2 2020). In this work, we leverage on real-world car sharing historical data and a custom Python software to investigate scalability properties of Electric Car Sharing (ECS) systems in the city of Turin. The simulation campaign is structured in two main branches which we call sets of simulation. In the first set, we focus on the impact of charging poles distribution. In the second set, we focus on economical impact changing total charging capacity and fleet size.
The folder is structured as follows:
- iscc2020_set1.ipynb: Code to replicate figures 3 to 7
- iscc2020_set2.ipynb: Code to replicate figures 8 and 9
- results: folder containing configurations (.json) and results (.csv, .pickle) of the whole simulation campaign.
- notebook_figures: folder containing plots created in the notebook.
- ieee_iscc2020.mplstyle: configuration file for plotting style.