A Virtual Infrastructure Model Based on Data Reuse to Support Intelligent Transportation System Applications

被引:0
作者
Miranda, Christian [1 ]
da Silva, Antonio Santos [2 ,3 ,4 ,5 ]
da Costa, Joao Paulo Javidi [1 ,2 ,3 ]
Santos, Giovanni Almeida [2 ]
da Silva, Daniel Alves [1 ,2 ]
de Freitas, Edison Pignaton [4 ,6 ]
Vinel, Alexey [5 ,6 ]
机构
[1] Univ Brasilia UnB, Post Grad Program Mechatron Syst PPMEC, BR-70910000 Brasilia, Brazil
[2] Hamm Lippstadt Univ Appl Sci HSHL, Dept Lippstadt, Hamm, Germany
[3] Promot Kolleg NRW PK NRW, D-44801 Bochum, Germany
[4] Fed Univ Rio Grande do Sul UFRGS, Grad Program Comp PPGC, BR-90010150 Porto Alegre, RS, Brazil
[5] KIT, D-76131 Karlsruhe, Germany
[6] Halmstad Univ, Sch Informat Technol, S-30118 Halmstad, Sweden
来源
IEEE ACCESS | 2025年 / 13卷
关键词
Monitoring; Autonomous vehicles; Maintenance; Artificial intelligence; Roads; Predictive models; Costs; Internet of Things; Global navigation satellite system; Cameras; cooperative perception; data collection; data reuse; intelligent transportation systems; virtual infrastructure; ARCHITECTURE; INTERNET;
D O I
10.1109/ACCESS.2025.3547160
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent Transportation Systems (ITS) have significantly improved transportation quality by using applications capable of monitoring, managing, and improving the transportation system. However, the large number of devices required to provide data to ITS applications has become a challenge in recent years, particularly the high installation and maintenance costs made broad deployment impracticable. Despite several advances in smart city research and the internet of things (IoT), research on ITS is still in the early stages. In this sense, to improve data collection and maintenance strategies for ITS systems, this article proposes a virtual infrastructure model based on data reuse, mainly autonomous vehicle (AV) data, to support ITS applications. It presents design choices and challenges for deploying a virtual infrastructure based on Beyond 5G (B5G) communication and data reuse, followed by developing a proof of concept of an AV data acquisition system evaluated through simulation. The results show that the extra data collection module results in a 1.1% increase in total memory usage with direct sensor collection and a 2.6% increase with application performance management (APM) data collection on the reference hardware. This data reuse setup can significantly improve ITS data challenges with minimal impact on current technology stack on the Autonomous vehicles currently in circulation.
引用
收藏
页码:40607 / 40620
页数:14
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