实现个性化的自动驾驶交通系统:愿景,挑战和解决方案
Linlin You1, Mai Hao1, Jian Sun2
1School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen 518107, China.
Innovation (Cambridge (Mass.))
|October 17, 2024
概括
智能运输系统正在演变为自主运输系统 (ATS),以克服碎片化. 使用区块链,联合学习和大型模型的新TPE框架确保可信,私有和平等的移动服务.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 自主运输系统 (ATS) 是一种自主运输系统.
- 云端设备连续性 云端设备连续性
背景情况:
- 分碎的ITS导致孤立的系统,资源竞争和信息缺口,降低了交通管理和服务水平.
- 向ATS的演变旨在创建一个协作,可持续的生态系统,具有云端设备互操作性.
- 航空交通系统面临的关键挑战包括数据差异,模型缺陷以及支持自主和个性化移动的利益冲突.
研究的目的:
- 解决阻碍自主运输系统 (ATS) 发展和广泛采用的挑战.
- 提出一个创新的框架,确保ATS内的可信,私有和公平的移动服务.
- 实现个性化的移动解决方案,同时保持数据隐私和系统完整性.
主要方法:
- 设计和整合一个名为TPE (值得信赖,私有和平等服务) 的新型框架.
- 区块链技术的无集成为一个值得信赖的操作环境.
- 联合学习的应用,用于将私人数据处理成全球可共享的知识.
- 为个性化适应和流动性服务开发大型模型.
主要成果:
- TPE框架成功地整合了区块链,联合学习和大规模模型.
- 它为自主运输系统建立了一个值得信赖的操作环境.
- 允许处理私人数据以产生全球适用的知识和个性化服务.
结论:
- TPE框架为自主运输系统的关键挑战提供了创新的解决方案.
- 通过TPE授权的ATS可以有效地为各种用户群体提供增强的隐私和公平的服务.
- 这种方法有助于在减少人为干预的情况下,在移动需求和供应之间实现更有系统的平衡.
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