SoftwareApplication
identifier: 10.4121/20418552
name: Data underlying the master thesis: Modelling and Assessment of an Autonomous Ride-Sharing Service’s Urban Utilization
description: Data underlying the master thesis: Modelling and Assessment of an Autonomous Ride-Sharing Service’s Urban Utilization
description: This collection represents the empirical portion of the author’s MSc thesis research, which involved modelling the private vehicle traffic flow for the city of Rotterdam and the simulation of an autonomous ride-sharing service's impact on CO2 emission using that model on SUMO. It has four subfolders: net_files, python_code_files, sim_runs, and output_excel_files. The folder contains Rotterdam's processed road network configuration, zonal data, and edge specifications along with the entirety of the written python code files for the construction of the traffic model and the trip merging component of the ride-sharing service. Three separate scenarios were simulated for this project and compared to the baseline simulation for determining the emission reduction rates, and all ten iterations of these simulations are also included in this zip file. Finally, here are several excel sheets detailing the results and calculations for zonal attraction ranking. The code contains extensive comments that can be easily used to replicate or build on the published work. The readers may refer to the related thesis document for further explanations.
author: https://orcid.org/0000-0003-4660-1648
keywords: SUMO
keywords: CO2 reduction
keywords: ride-sharing
keywords: Network Simulation
license:
  creative work: creativeWork
    name: CC-BY-4.0

https://orcid.org/0000-0003-4660-1648
type: Person
given name: Mahtab
family name: Sharifi
name: Mahtab Sharifi