Optimal Charging Infrastructure Design for Battery Electric Buses

A “Readme” file is created for each dataset. Below is the schema of the full repo: beb_chargers data gtfs so_king_cty_sites.csv beb_data.py beb_model.py beb_vis.py evaluation.py queue_lambda_sensitivity.py so_king_county_study.py The data folder contains data files used for the project. so_king_cty_sites.csv gives the names and coordinates of the seven candidate charging sites considered for the case study. The gtfs folder contains GTFS data files pulled from the King County Metro GTFS feed in spring 2019. For details on the GTFS format, see the documentation at https://developers.google.com/transit/gtfs/reference. beb_data contains functions used for pulling and processing relevant data, including GTFS. beb_model contains code for the optimization models developed for the project. beb_vis contains visualization code. evaluation includes a discrete-event simulation model used to evaluate the true performance of both models, including actual queue times and trip delays. queue_lambda_sensitivity runs a sensitivity analysis for the linear queue model parameter . so_king_county_study is a script that can be used to run the models and evaluate the results using the simulation.