Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making

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

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-03-01 DOI:10.1109/TIV.2024.3415815

Yueyuan Li;Songan Zhang;Mingyang Jiang;Xingyuan Chen;Jing Yang;Yeqiang Qian;Chunxiang Wang;Ming Yang

引用次数: 0

Abstract

Simulators generate diverse and realistic traffic scenarios to boost the development of autonomous driving systems. However, existing simulators often fall short in scenario diversity and interactive behavior models for traffic participants. This deficiency underscores the need for a flexible, reliable, user-friendly open-source simulator. Addressing this challenge, Tactics2D provides a highly modular and extensive framework for traffic scenario construction, encompassing road elements, traffic regulations, behavior models, physics simulations for vehicles, and event detection mechanisms. By integrating numerous popular algorithms and models, Tactics2D empowers users to customize driving scenarios and evaluate model performance across various scenarios by leveraging both public datasets and user-collected real-world data. This letter results from discussions at several IEEE T-IV's Decentralized and Hybrid Workshops on Scenarios Engineering for Smart Mobility.

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Tactics2D：高度模块化和可扩展的驾驶决策模拟器

模拟器可生成多种逼真的交通场景，从而促进自动驾驶系统的发展。然而，现有的模拟器往往在场景多样性和交通参与者的互动行为模型方面存在不足。这一不足凸显了对灵活、可靠、用户友好的开源模拟器的需求。为了应对这一挑战，Tactics2D 为交通场景构建提供了一个高度模块化和广泛的框架，包括道路元素、交通法规、行为模型、车辆物理模拟和事件检测机制。通过整合众多流行的算法和模型，Tactics2D 使用户能够定制驾驶场景，并利用公共数据集和用户收集的真实世界数据评估模型在各种场景中的性能。这封信是几届 IEEE T-IV 智能交通场景工程分散和混合研讨会的讨论成果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.