CASD: A Framework of Context-Awareness Safety Driving in Vehicular Networks
| Autor: | Tae Oh, Yiwen Chris Shen, Jaehoon Jeong, Sang H. Son |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Vehicular ad hoc network Computer science Control (management) 020206 networking & telecommunications Context (language use) Crash 02 engineering and technology Computer security computer.software_genre Variety (cybernetics) 020901 industrial engineering & automation Intelligent sensor 0202 electrical engineering electronic engineering information engineering Context awareness computer |
| Zdroj: | AINA Workshops |
| Popis: | Inspired by the advancement of vehicular networks and increasing concerns on driving safety, this paper proposes a framework of Context-Awareness Safety Driving (CASD). In vehicular networks, vehicles communicate with each other and share a variety of information. By utilizing those capability, CASD provides vehicles with a class-based safety action plan that considers three situations such as the Line-of-Sight unsafe, the Non-Line-of-Sight unsafe and the safe situations. In the Line-of-Sight unsafe situation, a hybrid take-action scheme is provided. If human's action fails, the vehicle will take over the driving control to guarantee the minimum risk. A timing for the vehicle to take over the control is based on an optimized threshold by examining context information. Moreover, a dynamic path maneuver planning scheme is suggested to avoid a crash in real-time. The driving safety can be substantially improved using CASD. |
| Databáze: | OpenAIRE |
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