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Abstract. Smart homes are more and more popular since they are regarded as synonyms of an ideal and friendly environment. Novel aspects like context awareness and pro-activity are fundamental requirements for development of such systems. Smart scenarios enable switching devices in a desired way when a certain user activity considered as a trigger involves a system activity. Some smart scenarios are proposed. Context modeling and reasoning for smart homes is widely considered. A software architecture including web services is introduced and discussed.

Nowadays, in the majority of cases, speed limits are defined by experts, who take into account the qualitative and quantitative parameters of the examined roads. The process of setting speed limits is often complex, because technical, social, and legal aspects should be taken into account. The paper presents a developed rule-based system for setting maximum speed limits, and results of the research with an unified data model describing roads and their surroundings. Analysis of the possibility of obtaining relevant data and automation of the process of their collection are also described. The set of the rules was developed on the basis of the methodologies used in Poland, United States, Germany, and New Zealand.

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The paper presents the description of the decision system implemented for Intelligent Road Signs. It focuses on the implementation of the novel air transparency analysis system and its integration with the rule system and the speed control infrastructure. Moreover, there are presented issues of making decisions about the content displayed in the case of autonomous and cooperating signs. To reflect more closely on real-life situations, it is assumed that the content presented by the IRS changes dynamically, depending on the road traffic and weather parameters. The IRS system operation was presented using fog detection as an example.