TY - GEN
T1 - Potential Implementation Radio over Fiber in Smart Vehicle Transportation Systems in The University of Indonesia Area
AU - Rasyid, Muhammad Haris
AU - Ananda, Irena Novelia
AU - Nathanael, Stanley Anggara
AU - Hammam, Humam Nauvally
AU - Al Faruq, Syafiq Maulana
AU - Apriono, Catur
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This study aims to investigate the potential implementation of Radio over Fiber (RoF) technology in intelligent vehicle transportation systems in the University of Indonesia area. RoF combines radio and optical fiber communication systems in congested transportation environments. The research methodology involves analyzing literature, reviewing case studies, and collecting and analyzing data. The focus is identifying the advantages and benefits of RoF in enhancing communication efficiency and reliability among intelligent vehicles at the University of Indonesia. Factors affecting RoF implementation, such as network scalability, low latency, data security, and integration with other technologies, are also considered. Parameters evaluated include data transfer speed, network reliability, latency, data security, energy efficiency, and implementation costs. Performance measurements of the RoF system will be conducted to evaluate its effectiveness in the context of intelligent vehicle transportation at the University of Indonesia. The study's findings are expected to provide in-depth insights into the potential and challenges of implementing RoF in intelligent vehicle transportation systems.
AB - This study aims to investigate the potential implementation of Radio over Fiber (RoF) technology in intelligent vehicle transportation systems in the University of Indonesia area. RoF combines radio and optical fiber communication systems in congested transportation environments. The research methodology involves analyzing literature, reviewing case studies, and collecting and analyzing data. The focus is identifying the advantages and benefits of RoF in enhancing communication efficiency and reliability among intelligent vehicles at the University of Indonesia. Factors affecting RoF implementation, such as network scalability, low latency, data security, and integration with other technologies, are also considered. Parameters evaluated include data transfer speed, network reliability, latency, data security, energy efficiency, and implementation costs. Performance measurements of the RoF system will be conducted to evaluate its effectiveness in the context of intelligent vehicle transportation at the University of Indonesia. The study's findings are expected to provide in-depth insights into the potential and challenges of implementing RoF in intelligent vehicle transportation systems.
KW - intelligent vehicle transportation system
KW - radio over Fiber (RoF)
UR - http://www.scopus.com/inward/record.url?scp=85181085056&partnerID=8YFLogxK
U2 - 10.1109/IEIT59852.2023.10335516
DO - 10.1109/IEIT59852.2023.10335516
M3 - Conference contribution
AN - SCOPUS:85181085056
T3 - Proceedings - IEIT 2023: 2023 International Conference on Electrical and Information Technology
SP - 170
EP - 175
BT - Proceedings - IEIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Electrical and Information Technology, IEIT 2023
Y2 - 14 September 2023 through 15 September 2023
ER -
