cff-version: 1.2.0
abstract: "This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach - Siebinga, Zgonnikov & Abbink 2021" and should be used in combination with TraViA, a program for traffic data visualization and annotation. A preprint of this paper can be found on arxiv: https://arxiv.org/abs/2109.13077"
authors:
  - family-names: Siebinga
    given-names: Olger
    orcid: "https://orcid.org/0000-0002-5614-1262"
  - family-names: Zgonnikov
    given-names: Arkady
  - family-names: Abbink
    given-names: D.A. (David)
    orcid: "https://orcid.org/0000-0001-7778-0090"
title: "Code accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/16847203.v1
license: GPL-3.0
date-released: 2021-10-22