权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

ASCENT: Autonomous Vehicular Edge Computing and Networking for Intelligent Transportation

ASCENT：智能交通的自主车辆边缘计算和网络

基本信息

批准号：
EP/X038866/1
负责人：
Geyong Min
金额：
$ 30.31万
依托单位：
UNIVERSITY OF EXETER
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%2FX038866%2F1
关键词：
ASCENT Autonomous Vehicular Edge Computing

项目摘要

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、节约交通能源具有重要意义。然而，由于ITS的运行环境复杂而动态，包括快速移动的车辆、起伏不定的车辆通信和稀缺的计算资源，ITS在满足新兴的关键任务应用(如自动驾驶和实时智能交通控制)对超高可靠性和低延迟的苛刻服务要求方面面临着前所未有的挑战。为了应对这些挑战，ASCENT的目标是与世界领先的专家组成一个国际性、多学科和跨部门的联盟，以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，以实现可靠和高效的智能交通系统。具体地说，Ascent将率先在突破性技术上进行研究和创新(R&I)，这些技术包括：1)支持灵活可靠的ITS服务供应的新颖且可扩展的系统架构；2)由定制的联合深度学习方法支持的原创分布式人工智能框架，以提供普适智能；3)创新的分析工具，以准确预测动态网络状态，包括网络流量和信道质量；4)自主和智能的资源管理计划，以支持关键任务的ITS服务。ASCESS将提升多学科合作伙伴的研发能力，并创建一个具有互补专业知识的长期跨学科和跨行业的知识共享平台。参与的研究人员将通过广泛的R&I行动和精心规划的网络活动进行培训，以丰富他们的技能集并增强他们的职业前景。上升的结果将大大有助于提高欧盟的竞争力，并将我们的交通系统转变为更安全、更智能、更绿色的未来。