面向未来汽车大数据市场的新型通用车辆信息模型（CVIM）
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
摘要：
尽管在许多最新的汽车型号中引入了连接服务，但由于其专有性质，目前对车辆数据的访问受到限制。因此，欧洲的AutoMat项目开发了一个开放的市场，为独立于品牌的车辆数据提供了一个单一的访问点。因此，车辆传感器数据可以用于设计和实施全新的服务，甚至超越交通相关应用（如超本地交通预测）。本文提出了一个汽车大数据市场的架构，作为跨部门和创新的汽车数据服务的推动者。因此，新的通用车辆信息模型（CVIM）被定义为一个开放和协调的数据模型，允许聚合的品牌独立和通用的数据集。在这项工作中的原型CVIM和市场的实现。介绍了当地天气预报和道路质量测量的两个用例，以显示AutoMat概念和原型对非汽车应用的适用性
英文摘要：
Even though connectivity services have been introduced in many of the most recent car models, access to vehicle data is currently limited due to its proprietary nature. The European project AutoMat has therefore developed an open Marketplace providing a single point of access for brand-independent vehicle data. Thereby, vehicle sensor data can be leveraged for the design and implementation of entirely new services even beyond trafficrelated applications (such as hyper-local traffic forecasts). This paper presents the architecture for a Vehicle Big Data Marketplace as enabler of cross-sectorial and innovative vehicle data services. Therefore, the novel Common Vehicle Information Model (CVIM) is defined as an open and harmonized data model, allowing the aggregation of brand-independent and generic data sets. Within this work the realization of a prototype CVIM and Marketplace implementation is presented. The two use-cases of local weather prediction and road quality measurements are introduced to show the applicability of the AutoMat concept and prototype to non-automotive application
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
