Chiara Manfletti , Marta Guimarães , Claudia Soares
{"title":"AI for space traffic management","authors":"Chiara Manfletti , Marta Guimarães , Claudia Soares","doi":"10.1016/j.jsse.2023.08.007","DOIUrl":null,"url":null,"abstract":"<div><p>Morgan Stanley forecasts the space industry to top 1 trillion dollars by 2040. Of these 1 trillion dollars, 1.5 billion dollars are expected to be the contribution of the space situational market alone.</p><p><span>Satellite operators are already paying the price of space debris. Current approaches for collision avoidance and space traffic management face serious challenges, mainly: (1) Insufficient data and endangered </span>autonomy of action in space; (2) A high number of false alerts and a large uncertainty; (3) Lack of scalability and automation for an increasing number of assets.</p><p>This paper explores the potential of AI for Space and presents some of the advances made by Neuraspace in Space Traffic Management, including the analysis of conjunction data messages (CDMs), predicting uncertainties, and risk classification, and the economic benefits of new approaches.</p><p>Further, the paper addresses the need for a more active role of the private sector and an evolution of the role of the public sector to foster space sustainability and support the growth companies leading this effort.</p></div>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468896723000897","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Morgan Stanley forecasts the space industry to top 1 trillion dollars by 2040. Of these 1 trillion dollars, 1.5 billion dollars are expected to be the contribution of the space situational market alone.
Satellite operators are already paying the price of space debris. Current approaches for collision avoidance and space traffic management face serious challenges, mainly: (1) Insufficient data and endangered autonomy of action in space; (2) A high number of false alerts and a large uncertainty; (3) Lack of scalability and automation for an increasing number of assets.
This paper explores the potential of AI for Space and presents some of the advances made by Neuraspace in Space Traffic Management, including the analysis of conjunction data messages (CDMs), predicting uncertainties, and risk classification, and the economic benefits of new approaches.
Further, the paper addresses the need for a more active role of the private sector and an evolution of the role of the public sector to foster space sustainability and support the growth companies leading this effort.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.