自动驾驶接驳车与智能路侧设施联动，提升城市通勤体验。
Empowering Autonomous Shuttles with Next-Generation Infrastructure
- 构建智能公交站与行人路口协同系统，实现车路信息互通。
- 通过中央控制枢纽整合多点数据，支持接驳车动态调度与响应。
- 开源数据集与V2X驱动工具，助力后续研究与技术落地。
随着城市交通挑战日益严峻，将自动驾驶技术与智能基础设施结合，为改善城市出行方式提供了新机遇。自动驾驶接驳车特别适用于解决‘最后一公里’的灵活通勤问题，通过与智能基础设施联动，可显著提升公共交通效率。本文展示了一项在公共展览会上部署的示范项目，集成智能公交站（配备感知设备）与联网行人过街系统，并通过中央通信与控制枢纽实现全系统互联。核心贡献包括：设计完整的‘智能公交站’系统架构；实现多个城市节点间的智能交通生态融合；开发适应性自动驾驶行为算法。此外，我们发布了开源数据集及车辆到一切（V2X）驱动程序，以支持后续研究。最后，论文展望了未来研究方向及技术扩展潜力。
原文摘要 · Abstract (English)
As cities strive to address urban mobility challenges, combining autonomous transportation technologies with intelligent infrastructure presents an opportunity to transform how people move within urban environments. Autonomous shuttles are particularly suited for adaptive and responsive public transport for the first and last mile, connecting with smart infrastructure to enhance urban transit. This paper presents the concept, implementation, and evaluation of a proof-of-concept deployment of an autonomous shuttle integrated with smart infrastructure at a public fair. The infrastructure includes two perception-equipped bus stops and a connected pedestrian intersection, all linked through a central communication and control hub. Our key contributions include the development of a comprehensive system architecture for "smart" bus stops, the integration of multiple urban locations into a cohesive smart transport ecosystem, and the creation of adaptive shuttle behavior for automated driving. Additionally, we publish an open source dataset and a Vehicle-to-X (V2X) driver to support further research. Finally, we offer an outlook on future research directions and potential expansions of the demonstrated technologies and concepts.
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