TY - GEN
T1 - A Probabilistic City Model Generation for Application in Internet of Vehicles Technology
AU - Barakat, Mohannad
AU - Magdy, Noha
AU - El-Shimy, Mohamed
AU - Mokhtar, Bassem
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
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
UR - http://www.scopus.com/inward/record.url?scp=85126814421&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126814421&partnerID=8YFLogxK
U2 - 10.1109/GCAIoT53516.2021.9692922
DO - 10.1109/GCAIoT53516.2021.9692922
M3 - Conference contribution
AN - SCOPUS:85126814421
T3 - 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021
SP - 57
EP - 61
BT - 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2021
Y2 - 12 December 2021 through 16 December 2021
ER -
