Augmenting CCAM Infrastructure for Creating Smart Roads and Enabling Autonomous Driving

被引:3
|
作者
Khan, M. Jalal [1 ,2 ]
Khan, Manzoor Ahmed [1 ,2 ]
Ullah, Obaid [1 ]
Malik, Sumbal [1 ,2 ]
Iqbal, Farkhund [3 ]
El-Sayed, Hesham [1 ,2 ]
Turaev, Sherzod [1 ]
机构
[1] United Arab Emirates Univ, Coll Informat Technol, Abu Dhabi 15551, U Arab Emirates
[2] United Arab Emirates Univ, Emirates Ctr Mobil Res ECMR, Abu Dhabi 15551, U Arab Emirates
[3] Zayed Univ, Coll Technol Innovat, Dubai 144534, U Arab Emirates
关键词
CCAM infrastructure; autonomous driving;
D O I
10.3390/rs15040922
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Autonomous vehicles and smart roads are not new concepts and the undergoing development to empower the vehicles for higher levels of automation has achieved initial milestones. However, the transportation industry and relevant research communities still require making considerable efforts to create smart and intelligent roads for autonomous driving. To achieve the results of such efforts, the CCAM infrastructure is a game changer and plays a key role in achieving higher levels of autonomous driving. In this paper, we present a smart infrastructure and autonomous driving capabilities enhanced by CCAM infrastructure. Meaning thereby, we lay down the technical requirements of the CCAM infrastructure: identify the right set of the sensory infrastructure, their interfacing, integration platform, and necessary communication interfaces to be interconnected with upstream and downstream solution components. Then, we parameterize the road and network infrastructures (and automated vehicles) to be advanced and evaluated during the research work, under the very distinct scenarios and conditions. For validation, we demonstrate the machine learning algorithms in mobility applications such as traffic flow and mobile communication demands. Consequently, we train multiple linear regression models and achieve accuracy of over 94% for predicting aforementioned demands on a daily basis. This research therefore equips the readers with relevant technical information required for enhancing CCAM infrastructure. It also encourages and guides the relevant research communities to implement the CCAM infrastructure towards creating smart and intelligent roads for autonomous driving.
引用
收藏
页数:33
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