Autonomous Vehicular Edge Computing and Networking for Intelligent Transportation

智能交通的自主车辆边缘计算和网络

• 批准号: EP/Y025989/1
• 负责人: Jie Zhang
• 金额: $ 12.63万
• 依托单位: Ranplan Wireless Network Design Ltd
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY025989%2F1
• 关键词: Autonomous; Vehicular; Edge; Computing; Networking

Intelligent Transportation Systems (ITS) are vital for enhancing road safety, alleviating traffic congestion, and saving energy in transport. However, due to the complex and dynamic operating environments of ITS including fast-moving vehicles, fluctuating vehicular communications, and scarce computing resources, ITS face unprecedented challenges in meeting the stringent service requirements in terms of ultra-high reliability and low-latency, demanded by the emerging mission-critical applications (e.g., autonomous driving and real-time intelligent traffic control).To address these challenges, ASCENT aims to form an international, multidisciplinary, and inter-sectoral consortium with world-leading experts to create a novel Autonomous Vehicular Edge Computing and Networking system empowered by advanced Artificial Intelligence (AI) technologies towards achieving reliable and efficient ITS. Specifically, ASCENT will pioneer research and innovations (R&I) on ground-breaking technologies including: 1) a novel and scalable system architecture that enables agile and reliable ITS service provisioning; 2) an original distributed AI framework fuelled by bespoke federated deep learning methods to offer pervasive intelligence; 3) innovative analytics tools to accurately predict dynamic network status including network traffic and channel quality; 4) autonomous and smart resource management schemes to support mission-critical ITS services.ASCENT will boost the R&I capability of partners in multiple disciplines and create a long-term cross-discipline and cross-sector knowledge-sharing platform with complementary expertise. The researchers involved will be trained through extensive R&I actions and well-planned networking activities to enrich their skill sets as well as enhance their career perspectives. The outcomes of ASCENT will significantly contribute to enhance the EU's competitiveness and transforming our transportation systems into safer, smarter, and greener future ITS.

智能交通系统 (ITS) 对于提高道路安全、缓解交通拥堵和节省交通能源至关重要。然而，由于ITS运行环境复杂、动态，包括车辆快速移动、车辆通信波动、计算资源稀缺等，ITS在满足超高可靠性、低时延等严苛的业务需求方面面临着前所未有的挑战。为了应对这些挑战，ASCENT 旨在与世界领先的专家组成一个国际化、多学科、跨部门的联盟，以解决这些挑战。创建一个由先进人工智能 (AI) 技术支持的新型自主车辆边缘计算和网络系统，以实现可靠、高效的 ITS。具体来说，ASCENT 将引领突破性技术的研究和创新 (R&I)，包括：1) 新颖且可扩展的系统架构，支持敏捷、可靠的 ITS 服务配置； 2) 由定制的联合深度学习方法推动的原始分布式人工智能框架，以提供普遍的智能； 3）创新的分析工具，准确预测动态网络状态，包括网络流量和信道质量； 4）自主、智能的资源管理方案，支持关键任务的ITS服务。ASCENT将提升多学科合作伙伴的研发能力，打造一个长期的跨学科、跨行业、专业知识互补的知识共享平台。参与的研究人员将通过广泛的研发行动和精心策划的社交活动接受培训，以丰富他们的技能并增强他们的职业前景。 ASCENT 的成果将极大地有助于增强欧盟的竞争力，并将我们的交通系统转变为更安全、更智能、更环保的未来智能交通系统。