By exchanging events in a vehicular ad hoc network (VANET), drivers can receive information that allows them to find relevant places (e.g., parking spaces) or avoid dangerous/undesirable situations (e.g., an accident or a traffic jam). However, developing this kind of information services for drivers calls for new data management approaches, such as an appropriate dissemination protocol and some mechanism to decide when a driver should be alerted. In this paper, we present a data management solution for event exchange in vehicular networks and compare two different approaches for relevance assessment. The first approach relies on the computation of geographic vectors to estimate the relevance of events, whereas the second approach exploits digital road maps. We also describe a prototype that has allowed us to test our proposals in a real environment. Moreover, we present an exhaustive simulation-based experimental evaluation that proves the usefulness of exploiting the information s...