Abstract
The recently deployed Vehicular Ad-Hoc Network (VANET) system for the vehicular road users can improve communication amongst drivers through early traffic congestion warnings, route suggestions, and emergency alerts. Regardless of how advantageous it may seem to many urban areas around the world, because the technology has not yet been completely implemented in Malaysia, it is unknown whether or not the implementation of VANET are viable or practical. Given that Vehicle-to-Roadside (V2R) communication’s transmission range is only 500 m at most, it must be used in close proximity to a road or highway where vehicles are moving in fast mobility. This study investigates the viability of VANET using a variety of methods, taking into account the requirement for VANET to be operational in urban highway environment. In order to establish RSU placement guidelines and determine the best deployment strategy for RSUs along the Federal Highway in the Klang Valley, Malaysia, this study examines the viability of VANET utilising computer-aided software simulation tools. It primarily focuses on the section of the highway that is in close proximity to solid structures such as high rise buildings. This study also establishes the framework for simulations of the VANET environment for the Federal Highway, including the modelling of vehicular traffic, the establishment of the RSU, and the performance of the VANET. The results indicate that positioning RSUs in front of obstructions, with sufficient antenna power levels, along with lower vehicle density and velocity, could lead to higher packet throughput and lower latency.
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Acknowledgements
The authors gratefully acknowledge the support from the Ministry of Higher Education, Malaysia in providing the Fundamental Research Grant Scheme (FRGS) (Project Number: FRGS/1/2018/ICT03/UITM/02/3) research grant.
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Ramli, N.I., Fuad, A.F.M., Ibrahim, M.F., Rawi, M.I.M. (2023). VANET Performance Evaluation for Malaysian Urban Federal Highway. In: Kang, DK., Alfred, R., Ismail, Z.I.B.A., Baharum, A., Thiruchelvam, V. (eds) Proceedings of the 9th International Conference on Computational Science and Technology. ICCST 2022. Lecture Notes in Electrical Engineering, vol 983. Springer, Singapore. https://doi.org/10.1007/978-981-19-8406-8_51
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DOI: https://doi.org/10.1007/978-981-19-8406-8_51
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