Travel datasets for analysing the electric vehicle charging demand in a university campus

The datasets reported in this article have been used in the research paper titled “Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation”. The datasets include a year-round travel dataset (daily travel distance and workplace arrival–departure times) of privately used EVs. To achieve this, the raw data of vehicle usage is sourced from the Victorian Integrated Survey of Travel & Activity (VISTA), which is an ongoing survey that has collected data from 32,000 households and 82,000 people since 2012. This dataset is filtered and processed to obtain the daily travel distance and workplace arrival–departure times for privately used vehicles. Probability distributions and cumulative distributions of the daily travel distance and workplace arrival–departure times are extracted. Using these distributions, the year-round travel data (daily travel distance and workplace arrival–departure times) is created for the desired number of EVs individually. Microsoft Excel and MATLAB software are used to perform the required processing. The experimental methods used to obtain the required data, from downloading the raw dataset to creating the EVs’ travel data are described in this paper.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV