Mobility AI Agents and Networks

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.

I. Introduction

Rapid urbanization and technological advancements have intensified the complexity of mobility management in cities [1]. The digital twin concept offers a promising solution, facilitating efficient planning, operations, and decision-making in mobility systems [2], [3]. This approach is particularly valuable for intelligent vehicles and smart mobility systems [4].