{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/trolleymod-v10-an-open-source-simulation-and","title":"TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles","arxiv_id":"1811.05594","date":"2018-11-14","proceeding":null,"authors":["Vahid Behzadan","James Minton","Arslan Munir"],"abstract":"This paper presents TrolleyMod v1.0, an open-source platform based on the\nCARLA simulator for the collection of ethical decision-making data for\nautonomous vehicles. This platform is designed to facilitate experiments aiming\nto observe and record human decisions and actions in high-fidelity simulations\nof ethical dilemmas that occur in the context of driving. Targeting experiments\nin the class of trolley problems, TrolleyMod provides a seamless approach to\ncreating new experimental settings and environments with the realistic\nphysics-engine and the high-quality graphical capabilities of CARLA and the\nUnreal Engine. Also, TrolleyMod provides a straightforward interface between\nthe CARLA environment and Python to enable the implementation of custom\ncontrollers, such as deep reinforcement learning agents. The results of such\nexperiments can be used for sociological analyses, as well as the training and\ntuning of value-aligned autonomous vehicles based on social values that are\ninferred from observations.","url_abs":"http://arxiv.org/abs/1811.05594v1","url_pdf":"http://arxiv.org/pdf/1811.05594v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"trolleymod-v10-an-open-source-simulation-and","repo_url":"https://github.com/zminton/TrolleyMod","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"autonomous-vehicles","task_name":"Autonomous Vehicles"},{"task_slug":"decision-making","task_name":"Decision Making"},{"task_slug":"deep-reinforcement-learning","task_name":"Deep Reinforcement Learning"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"}],"methods":[{"method_slug":"carla","method_name":"CARLA"},{"method_slug":"entropy-regularization","method_name":"Entropy Regularization"},{"method_slug":"ppo","method_name":"PPO"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}