Abstract
To address the drawbacks of the traditional “end, tube, cloud” architecture of V2X (Vehicle to Everything) with slow real-time response and vertical transmission of information, this paper has carried out research from architecture adjustment, introduces the edge computing layer to sink the computational power required for latency-sensitive services to the network edge and extend the transmission of information from vertical to horizontal, realizing the transformation from V2N (Vehicle To Network) to V2V (Vehicle To Vehicle), combining the advantages of the exclusive band of C-V2X (Cellular Vehicle to Everything), fusing MEC (Mobile Edge Computing) and C-V2X to form a new low-latency V2X architecture, which can be applied to many mainstream traffic scenarios and effectively improve Traffic safety.
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Shang, Z. (2021). Low Latency V2X Application of MEC Architecture in Traffic Safety. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_111
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