论文标题
驱动器：合作智能运输系统的数字网络甲骨文
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems
论文作者
论文摘要
在人工智能革新推论，预测和决策任务的世界中，数字双胞胎作为改变游戏规则的工具。一个很好的例子是合作智能运输系统（C-ISS）的开发和优化：网络物理数字基础设施和（半自动化移动性的汇合）。在此，我们介绍了用于自动驾驶智能车辆（驱动器）的Digital Twin。开发的框架解决了传统车辆和网络模拟器的缺点。它提供了灵活，模块化和可扩展的实现，以确保以中等计算成本的大规模，全市范围的实验。我们数字双胞胎的定义特征是一个独特的体系结构，允许提交顺序查询，数字双胞胎以“世界状态”提供了瞬时响应，因此是甲骨文。通过与外部智能代理和现实的移动轨迹的这种双向相互作用，驱动器为基于机器学习的C-ITS解决方案提供了开发，培训和优化的环境。
In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure and (semi)automated mobility. Herein we introduce Digital Twin for self-dRiving Intelligent VEhicles (DRIVE). The developed framework tackles shortcomings of traditional vehicular and network simulators. It provides a flexible, modular, and scalable implementation to ensure large-scale, city-wide experimentation with a moderate computational cost. The defining feature of our Digital Twin is a unique architecture allowing for submission of sequential queries, to which the Digital Twin provides instantaneous responses with the "state of the world", and hence is an Oracle. With such bidirectional interaction with external intelligent agents and realistic mobility traces, DRIVE provides the environment for development, training and optimization of Machine Learning based C-ITS solutions.
