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Implementation and Assessment of IEEE 802.11BD for Improved Road Safety
Cooperative Intelligent Transport Systems (C-ITS) are built based on vehicular communication technologies with real-time information exchange to improve overall traffic management such as road safety, efficiency, and comfort. Road safety depends on several factors that should be considered, among which the reliability of the used in-vehicle awareness systems. Therefore, communication technologies are rapidly evolving, and New Radio Access Technologies (RATs) are emerging to provide enhanced performances in terms of reliability, coverage, and throughput. C-ITS can benefit from these new RATs enhancements to allow new use cases and applications and then prevent additional road accidents. In this context, the IEEE 802.11bd and cellular vehicle-to-everything (C-V2X) technologies such as LTE-V2X and NR V2X are being developed. This advance is fundamentally reshaping the C-ITS landscape as both technologies (IEEE 802.11bd and LTE-V2X) are competing. In this paper, we analyze how these technologies help increase road safety by making communication more reliable. Furthermore, we will compare their performance using our IEEE 802.11bd implementation in OMNeT++ in terms of packet reception ratio. Finally, we will forecast the number of avoided serious injuries on the European roads.
[INFO] Computer Science [cs]
[INFO] Computer Science [cs]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
