Mobility AI Agents and Networks

IF 14 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-09-04 DOI:10.1109/TIV.2024.3454285

Haoxuan Ma;Yifan Liu;Qinhua Jiang;Brian Yueshuai He;Xishun Liao;Jiaqi Ma

引用次数: 0

Abstract

Intelligent vehicles and smart mobility systems are at the forefront of transportation evolution, yet effective management of these new mobility technologies and services are non-trivial. This perspective presents an Intelligent Mobility System Digital Twin (MSDT) framework as a solution. Our framework uniquely maps human beings and vehicles to AI agents, and the mobility systems to AI networks, creating realistic digital simulacra of the physical mobility system. By integrating AI agents and AI networks, this framework offers unprecedented capabilities in prediction and automated simulation of the entire mobility systems, thereby improving planning, operations, and decision-making in smart cities.

查看原文本刊更多论文

移动性人工智能代理和网络

智能车辆和智能交通系统是交通发展的前沿，但有效管理这些新的交通技术和服务并非易事。本视角提出了智能交通系统数字双胞胎（MSDT）框架作为解决方案。我们的框架独特地将人类和车辆映射为人工智能代理，将交通系统映射为人工智能网络，从而创建出物理交通系统的逼真数字模拟模型。通过整合人工智能代理和人工智能网络，该框架为整个交通系统的预测和自动仿真提供了前所未有的能力，从而改善了智能城市的规划、运营和决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization

CiteScore

12.10

自引率

13.40%

发文量

177

期刊介绍： The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.