This paper proposes use indications for an Advanced Emergency Braking System (AEBS) module developed in Matlab and included in a Simcenter Prescan simulation. The analysed indications depend on a Long-Range Radar (LRR) and Short-Range Radar (SRR) beam range, on the speed of the autonomous vehicle and on the time between the detection of the obstacle in front of the autonomous vehicle and the time the obstacle starts to move. The simulated scenario consists of an autonomous vehicle that travels at a certain speed, where another vehicle starts to move from a bus station after a sudden stop, challenging the autonomous vehicle to stop in a safe manner and in a short time.

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This paper is organised around the problem of environmental monitoring and ambient environmental monitoring, as parts of social computing and the Internet of Things areas of research. In recent times, the use of sensing devices and technologies has had increasing significant interest in many fields, some remarkable results being achieved, particularly with evaluating, monitoring and analysing the air quality. The main purpose of the system developed in our project is to introduce a way to monitor the air quality in a given room, advancing the possibility of viewing history or even real-time data via a web service. Although the level of hardware is abstracted, the focus is on the problem that it addresses and on solving it, as well.