{"title":"具有伦理决策意义的车队系统的燃油效率方法","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":"{\"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}","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}
A fuel-efficient approach for platooning systems with ethical decision-making implications
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.