Ricerc@Sapienza

In this paper we design an efficient algorithm, based on epidemic models, to dissemination messages in VANETs. The algorithm, named EPIC, is based on few hypothesis and it is very simple to be implemented. The main hypotheses are that each vehicle knows the position of its neighbours and can communicate with them only in broadcast. EPIC has been designed with the goal to reach the highest number of vehicles "infected" by the message, without overloading the network.

Inter-Vehicle Communication (IVC) is bringing connected and cooperative mobility closer to reality. Vehicles today are able to produce huge amounts of information, known in the literature as Floating Car Data (FCD), containing status information gathered from sensing the internal condition of the vehicle and the external environment. Adding networking capabilities to vehicles allows them to share this information among themselves and with the infrastructure.

We develop traffic management and data networking mechanisms and study their integrated design for an autonomous transportation system. The traffic management model involves a multi-lane multi-segment highway. Ramp managers regulate admission of vehicles into the highway and their routing to designated lanes. Vehicles moving across each lane are organized into platoons. A Platoon Leader (PL) is elected in each platoon and is used to manage its members and their communications with the infrastructure and with vehicles in other platoons.