Optimal Charging Infrastructure Design for Battery Electric Buses
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A “Readme” file is created for each dataset.Below is the schema of the full repo:beb_chargersdatagtfsso_king_cty_sites.csvbeb_data.pybeb_model.pybeb_vis.pyevaluation.pyqueue_lambda_sensitivity.pyso_king_county_study.pyThe 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 incl' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Electric buses","Layover charging","mixed integer linear program","Optimal charging stations","simulation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A “Readme” file is created for each dataset.Below is the schema of the full repo:beb_chargersdatagtfsso_king_cty_sites.csvbeb_data.pybeb_model.pybeb_vis.pyevaluation.pyqueue_lambda_sensitivity.pyso_king_county_study.pyThe 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 incl' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A “Readme” file is created for each dataset.Below is the schema of the full repo:beb_chargersdatagtfsso_king_cty_sites.csvbeb_data.pybeb_model.pybeb_vis.pyevaluation.pyqueue_lambda_sensitivity.pyso_king_county_study.pyThe 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 incl
Electric buses; Layover charging; mixed integer linear program; Optimal charging stations; simulation