{"title":"A fuel-efficient approach for platooning systems with ethical decision-making implications","authors":"T. Gonçalves, Nelson de Moura, F. Nashashibi","doi":"10.1109/ARSO56563.2023.10187497","DOIUrl":null,"url":null,"abstract":"Platooning system is a relevant solution for sustainable freight transportation due to its capability to substantially improve fuel efficiency, safety, and traffic flow. Most of the recent studies focus on the fuel-efficiency aspect while ignoring ethical aspects associated with the short intervehicle distance requirement. Unlike the literature, we address ethical implications that arise during platooning in addition to fuel-efficient improvement. We propose a decision-making algorithm based on a Markov Decision Process (MDP) that is able to switch between classical platooning controllers to improve fuel efficiency while accounting for a harm factor. Numerical results demonstrate the relevance of a joint design of ethical and fuel-efficiency aspects for suitable decisionmaking in platooning systems.","PeriodicalId":382832,"journal":{"name":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO56563.2023.10187497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Platooning system is a relevant solution for sustainable freight transportation due to its capability to substantially improve fuel efficiency, safety, and traffic flow. Most of the recent studies focus on the fuel-efficiency aspect while ignoring ethical aspects associated with the short intervehicle distance requirement. Unlike the literature, we address ethical implications that arise during platooning in addition to fuel-efficient improvement. We propose a decision-making algorithm based on a Markov Decision Process (MDP) that is able to switch between classical platooning controllers to improve fuel efficiency while accounting for a harm factor. Numerical results demonstrate the relevance of a joint design of ethical and fuel-efficiency aspects for suitable decisionmaking in platooning systems.