A Probabilistic City Model Generation for Application in Internet of Vehicles Technology

Mohannad Barakat; Noha Magdy; Mohamed El-Shimy; Bassem Mokhtar

doi:10.1109/GCAIoT53516.2021.9692922

A Probabilistic City Model Generation for Application in Internet of Vehicles Technology

Mohannad Barakat
, Noha Magdy
, Mohamed El-Shimy
, Bassem Mokhtar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

As the main pillar of the Smart City, Smart Highway manifests the centralized connectivity concept between the self-driving vehicles. Internet of Vehicle or IoV is the solution for improved connectivity between driverless vehicles. One of the major challenges in IoV research is the lack of datasets available. That is why the Internet of vehicles is one of the hot topics in research nowadays. IoV field is still a new topic in research, which leaves a huge shortage in the datasets available to train any Artificial Intelligent (AI) model for IoV systems. IoV systems have many research points such as resources mapping and car paths predictions, which requires datasets from real-life traffic and cities road to train AI models. The goal of this research is to design a simulation for the IoV system by creating a city model that simulates any realistic city traffic, roads, different places, and cars with its resources. Having this city model, datasets could be obtained to train AI models to get more knowledge about the IoV systems.

Original language	English
Title of host publication	2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	57-61
Number of pages	5
ISBN (Electronic)	9781665438414
DOIs	https://doi.org/10.1109/GCAIoT53516.2021.9692922
Publication status	Published - 2021
Externally published	Yes
Event	2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021 - Dubai, United Arab Emirates Duration: Dec 12 2021 → Dec 16 2021

Publication series

Name	2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021

Conference

Conference	2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021
Country/Territory	United Arab Emirates
City	Dubai
Period	12/12/21 → 12/16/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Data generation
Internet of vehicles
Probabilistic city model

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems and Management

Access to Document

10.1109/GCAIoT53516.2021.9692922

Cite this

Barakat, M., Magdy, N., El-Shimy, M., & Mokhtar, B. (2021). A Probabilistic City Model Generation for Application in Internet of Vehicles Technology. In 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021 (pp. 57-61). (2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCAIoT53516.2021.9692922

A Probabilistic City Model Generation for Application in Internet of Vehicles Technology. / Barakat, Mohannad; Magdy, Noha; El-Shimy, Mohamed et al.
2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 57-61 (2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Barakat, M, Magdy, N, El-Shimy, M & Mokhtar, B 2021, A Probabilistic City Model Generation for Application in Internet of Vehicles Technology. in 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021. 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021, Institute of Electrical and Electronics Engineers Inc., pp. 57-61, 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021, Dubai, United Arab Emirates, 12/12/21. https://doi.org/10.1109/GCAIoT53516.2021.9692922

Barakat M, Magdy N, El-Shimy M, Mokhtar B. A Probabilistic City Model Generation for Application in Internet of Vehicles Technology. In 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 57-61. (2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021). doi: 10.1109/GCAIoT53516.2021.9692922

Barakat, Mohannad ; Magdy, Noha ; El-Shimy, Mohamed et al. / A Probabilistic City Model Generation for Application in Internet of Vehicles Technology. 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 57-61 (2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021).

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title = "A Probabilistic City Model Generation for Application in Internet of Vehicles Technology",

abstract = "As the main pillar of the Smart City, Smart Highway manifests the centralized connectivity concept between the self-driving vehicles. Internet of Vehicle or IoV is the solution for improved connectivity between driverless vehicles. One of the major challenges in IoV research is the lack of datasets available. That is why the Internet of vehicles is one of the hot topics in research nowadays. IoV field is still a new topic in research, which leaves a huge shortage in the datasets available to train any Artificial Intelligent (AI) model for IoV systems. IoV systems have many research points such as resources mapping and car paths predictions, which requires datasets from real-life traffic and cities road to train AI models. The goal of this research is to design a simulation for the IoV system by creating a city model that simulates any realistic city traffic, roads, different places, and cars with its resources. Having this city model, datasets could be obtained to train AI models to get more knowledge about the IoV systems.",

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PY - 2021

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AB - As the main pillar of the Smart City, Smart Highway manifests the centralized connectivity concept between the self-driving vehicles. Internet of Vehicle or IoV is the solution for improved connectivity between driverless vehicles. One of the major challenges in IoV research is the lack of datasets available. That is why the Internet of vehicles is one of the hot topics in research nowadays. IoV field is still a new topic in research, which leaves a huge shortage in the datasets available to train any Artificial Intelligent (AI) model for IoV systems. IoV systems have many research points such as resources mapping and car paths predictions, which requires datasets from real-life traffic and cities road to train AI models. The goal of this research is to design a simulation for the IoV system by creating a city model that simulates any realistic city traffic, roads, different places, and cars with its resources. Having this city model, datasets could be obtained to train AI models to get more knowledge about the IoV systems.

KW - Data generation

KW - Internet of vehicles

KW - Probabilistic city model

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ER -

A Probabilistic City Model Generation for Application in Internet of Vehicles Technology

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this