{"title":"Large Transportation Models on the Horizon: Challenges and Issues [Editor’s Column]","authors":"Yisheng Lv","doi":"10.1109/mits.2023.3314848","DOIUrl":null,"url":null,"abstract":"Following large language models, the development of large models in industries is becoming more intensified by the day. Without exception, large transportation models, including traffic perception and cognition for large-scale road networks and autonomous driving models, have been issued one after another, kicking off a new round of competition characterized by “big model + big data + big computing power.”","PeriodicalId":48826,"journal":{"name":"IEEE Intelligent Transportation Systems Magazine","volume":"29 11","pages":"0"},"PeriodicalIF":4.3000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Intelligent Transportation Systems Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mits.2023.3314848","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Following large language models, the development of large models in industries is becoming more intensified by the day. Without exception, large transportation models, including traffic perception and cognition for large-scale road networks and autonomous driving models, have been issued one after another, kicking off a new round of competition characterized by “big model + big data + big computing power.”
期刊介绍：
The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. In contrast to the highly academic publication of the IEEE Transactions on Intelligent Transportation Systems, the ITS Magazine focuses on providing needed information to all members of IEEE ITS society, serving as a dissemination vehicle for ITS Society members and the others to learn the state of the art development and progress on ITS research and applications. High quality tutorials, surveys, successful implementations, technology reviews, lessons learned, policy and societal impacts, and ITS educational issues are published as well. The ITS Magazine also serves as an ideal media communication vehicle between the governing body of ITS society and its membership and promotes ITS community development and growth.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
