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The paper presents the NaviExpert’s Community Traffic (CT) technology, an interactive, community-based car navigation system. Using data collected from its users, CT offers services unattainable to earlier systems. On one hand, the current traffic data are used to recommend the best routes in the navigation phase, during which many potentially unpredictable traffic-delaying and traffic-jamming events, like unexpected roadworks, road accidents, closed roads or diversions, can be taken into account and thereby successfully avoided. On the other hand, a number of distinctive features, like immediate localization of various traffic dangers, are offered. Using exclusively real-life data, provided by NaviExpert, the paper presents two illustrative case studies concerned with experimental evaluation of solutions to computational problems related to the community-based services offered by the system.