Performance Evaluation of an Integrated Fuzzy-Based Driving-Support System for Real-Time Risk Management in VANETs

The highly competitive and rapidly advancing autonomous vehicle race has been on for several years now, and it has made the driver-assistance systems a shadow of their former self. Nevertheless, automated vehicles have many obstacles on the way, and until we have them on the roads, promising solutio...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2020-11, Vol.20 (22), p.6537, Article 6537
Hauptverfasser:	Bylykbashi, Kevin, Qafzezi, Ermioni, Ampririt, Phudit, Ikeda, Makoto, Matsuo, Keita, Barolli, Leonard
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Chemistry Chemistry, Analytical Cloud computing Computer simulation Engineering Engineering, Electrical & Electronic Fuzzy logic Infrastructure Instruments & Instrumentation Intelligent systems Internet of Things Mobile ad hoc networks Performance evaluation Physical Sciences Real time Risk levels Risk management Roads & highways Science & Technology Sensors Software Support systems Technology Traffic accidents Traffic accidents & safety Traffic speed Vehicles Weather Wireless networks
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