Implicit aggressive driving detection in social VANET

Human errors are the main reason for traffic accidents. Detection of aggressive driving, e.g. speeding and driving with smaller safety distance than recommended, is currently in the domain of law enforcement services. We propose a novel approach for aggressive driving detection using received signal strength indicator value measurement in vehicular ad hoc networks. We present an introduction to vehicular social networks, cluster formation and a short description of our method. Proposal is critically discussed in terms of implementation and privacy issues, and is followed by guidelines for future work in that field.