Smart Cities V2I Cloud based Infrastructure using Road Side Units

Tamer Omar; Kevin Guerra; Christopher Mardoyan; Shannen Sharma; Xavier Rangel

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Paper

Smart Cities V2I Cloud based Infrastructure using Road Side Units

Topics: Algorithms, software engineering and development; Big Data Fundamentals: Volume, Velocity, Variety, Veracity and Value; Internet of Things; Sensor Networks, Remote Diagnosis and Development; Sensors; Smart City and Transportation; Vehicle-to-Infrastructure

In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security IoTBDS - Volume 1, 270-277, 2021

Authors: Tamer Omar ; Kevin Guerra ; Christopher Mardoyan ; Shannen Sharma and Xavier Rangel

Affiliation: Department of Electrical and Computer Engineering, California State Polytechnic University, Pomona, U.S.A.

Keyword(s): Road Side Units (RSUs), K-means Clustering, Internet of Vehicles, Smart Cities, Vehicle to Infrastructure (V2I).

Abstract: Vehicles and city infrastructure can be interconnected through Road Side Units (RSUs) and On Board Units (OBUs) that utilize Radio-frequency identification (RFID) technology to send and receive information about various road conditions in real time. The objective of this work is to create and test a mesh network through Internet of Things (IoT) devices to emulate and test the RSUs capabilities. A vehicle-to-infrastructure (V2I) network is established through parent & child approach that rely on previously established infrastructure. The purpose for this design is to extend the reach of the system while limiting the amount of endpoint nodes needed. The mesh network is meant to target areas affected with road congestion. Using this information, the vehicles and users will be aware of traffic conditions on their routes in real time. Connected vehicles will be able to adjust their routes to experience more efficient commutes. The mesh network is capable of taking information from vehicle s and transmitting it through the network until being uploaded to the cloud. In particular, the number of vehicles passing through an endpoint RSU within a certain time frame is collected and sent through the network, along with the location of the endpoint RSU. The parent node receives this information through a relay RSUs and uploads it to a cloud service where the data is collected and then analyzed through a data mining software. The software applies the k-means clustering algorithm to classify the traffic conditions of the road at a particular time. Results shows the capability of the algorithm to detect and classify the different traffic conditons. (More)

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Paper citation in several formats:

Omar, T.; Guerra, K.; Mardoyan, C.; Sharma, S. and Rangel, X. (2021). Smart Cities V2I Cloud based Infrastructure using Road Side Units. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-504-3; ISSN 2184-4976, SciTePress, pages 270-277. DOI: 10.5220/0010469402700277

@conference{iotbds21,
author={Tamer Omar. and Kevin Guerra. and Christopher Mardoyan. and Shannen Sharma. and Xavier Rangel.},
title={Smart Cities V2I Cloud based Infrastructure using Road Side Units},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2021},
pages={270-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010469402700277},
isbn={978-989-758-504-3},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Smart Cities V2I Cloud based Infrastructure using Road Side Units
SN - 978-989-758-504-3
IS - 2184-4976
AU - Omar, T.
AU - Guerra, K.
AU - Mardoyan, C.
AU - Sharma, S.
AU - Rangel, X.
PY - 2021
SP - 270
EP - 277
DO - 10.5220/0010469402700277
PB - SciTePress