State of data platforms for connected vehicles and infrastructures

查看全文 作　　者：Kai Li [1]Lim;Jake [1,2]Whitehead;Dongyao [2]Jia;Zuduo [2]Zheng

机构地区：[1]Dow Centre for Sustainable Engineering Innovation,The University of Queensland,Brisbane,QLD,4072,Australia;[2]School of Civil Engineering,The University of Queensland,Brisbane,QLD,4072,Australia

出　　处：《Communications in Transportation Research》索引2021年第1卷第1期,共11页

摘　　要：The continuing expansion of connected and electro-mobility products and services has led to their ability to rapidly generate very large amounts of data,leading to a demand for effective data management solutions.This is further catalysed through the need for society to make informed policies and decisions that can properly support their emerging growth.While data systems and platforms exist,they are often proprietary,being only compatible to the products that they are designed for.Given the products and services generate energy and spatial-temporal data that can often correlate,a lack of interoperability between these systems would impede decision making,as data from each system must be considered independently.By studying currently available data platforms and frameworks,this paper weighs the problems that these products address,and identifies necessary gaps for a more cohesive platform to exist.This is performed through a top-down approach,whereby broader vehicle-toeverything approaches are first studied,before moving to the components that could comprise a data platform to integrate and ingest these various data feeds.Finally,potential design considerations for a data platform is presented,along with examples of application bene. 关键词：Connected mobility Vehicular networks Data platforms Electric vehicles

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State of data platforms for connected vehicles and infrastructures

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