Publication: Performance Analysis of C-V2I-Based Automotive Collision Avoidance
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ISBN: 978-1-5386-4725-7
ISBN: (PoD) 978-1-5386-4726-4
ISBN: (USB) 978-1-5386-4724-0
Publication date
2018-08-30
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IEEE
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Abstract
One of the key applications envisioned for C-V2I (Cellular Vehicle-to-Infrastructure) networks pertains to safety on the road. Thanks to the exchange of Cooperative Awareness Messages (CAMs), vehicles and other road users (e.g., pedestrians) can advertise their position, heading and speed and sophisticated algorithms can detect potentially dangerous situations leading to a crash. In this paper, we focus on the safety application for automotive collision avoidance at intersections, and study the effectiveness of its deployment in a C-V2I-based infrastructure. In our study, we also account for the location of the server running the application as a factor in the system design. Our simulation-based results, derived in real-world scenarios, provide indication on the reliability of algorithms for car-to-car and car-to-pedestrian collision avoidance, both when a human driver is considered and when automated vehicles (with faster reaction times) populate the streets.
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Keywords
Vehicular networks, LTE-V2I communications, Automotive safety services
Bibliographic citation
Malinverno, M., Avino, G., Casetti, C., Chiasserini, C-F., Malandrino, F., Scarpina, S. (2018). Performance Analysis of C-V2I-Based Automotive Collision Avoidance. Peper submitted in 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM), Chania.