Edge-Based Collision Avoidance for Vehicles and Vulnerable Users: An Architecture Based on MEC
| Autor: | Marco Malinverno, Salvatore Scarpina, Claudio Casetti, Giuseppe Avino, Francesco Malandrino, Carla-Fabiana Chiasserini |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Networking and Internet Architecture (cs.NI)
FOS: Computer and information sciences Vehicular ad hoc network Computer science business.industry 5G automotive services safety services vehicle collision avoidance at intersections 802.11p 020206 networking & telecommunications 02 engineering and technology vehicle collision avoidance at intersections automotive services safety services Computer Science - Networking and Internet Architecture Automotive Engineering 0202 electrical engineering electronic engineering information engineering Edge based Latency (engineering) Architecture business 5G Collision avoidance Edge computing 802.11p Computer network |
| Zdroj: | IEEE vehicular technology magazine |
| Popis: | Collision avoidance is one of the most promising applications for vehicular networks, dramatically improving the safety of the vehicles that support it. In this paper, we investigate how it can be extended to benefit vulnerable users, e.g., pedestrians and bicycles, equipped with a smartphone. We argue that, owing to the reduced capabilities of smartphones compared to vehicular on-board units, traditional distributed approaches are not viable, and that multi-access edge computing (MEC) support is needed. Thus, we propose a MEC-based collision avoidance system, discussing its architecture and evaluating its performance. We find that, thanks to MEC, we are able to extend the protection of collision avoidance, traditionally thought for vehicles, to vulnerable users without impacting its effectiveness or latency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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