2018 Volume 28 Issue S Pages 159-162
In the last decade, severity of climatic condition in arid and desert areas, has increased phenomenally. Disaster control mechanism in arid and desert area needs to be supplemented by fleet of driverless vehicles, which could be remotely controlled. It would be prudent not to create permanent infrastructure for disaster control services in order to reduce cost component and quick services. This paper presents simulator result for the Cooperative Adaptive Cruise Control (CACC) system based on a Model Predictive Control. CACC is one of promising technologies to achieve the group-level safety and energy aware control in driverless vehicle platoon. The system allows information exchange through Vehicle to Vehicle (V2V) or Individual to Vehicle (I2V) communication. Since the proposed method enables the application of CACC to mixed vehicle fleet consists of manual-driven vehicles and driver-less vehicles. This technology also realizes driver-less accompany vehicle to improve vehicle level redundancy in severe driving environment. Proposed system is implemented and its performance is tested in a simulator experiment.
