Exploring Interactions in Vehicular Networks

International audienceVehicular networks are networks comprised by vehicles trav-eling cities and highways. During their trajectories, these vehicles interact with other vehicles and road side units in order to make safer and enjoyable trac. These interactions may be influenced by several factors. To mention a few: vehicle speed, roads condition, time of day and weather. Moreover, driver behavior and its interests can influence in vehicle features. In this context, the Vehicular Social Networks arise as a new perspective to vehicular networks, where the vehicles " socialize " and share common interests. In this work, we evaluate the behavior of vehicles using two mobility scenarios, in order to classify them according to the interactions performed, identifying common interests and similar routines. Thus, we use metrics of complex networks and statistical techniques. Results prove the existence of routines and human features in Vehicular Networks

Understanding Interactions in Vehicular Networks Through Taxi Mobility

International audienceVehicular Networks (VANETs) are an emerging network that enables the communication among the vehicles, in order to promote a safe and efficient traffic, avoiding crashes and preventing hazards. These vehicles transit on the streets and highways, and during their trajectories, they can communicate with each other or with another network, through interactions among them and road side units. Aiming to better understand these interactions, in this work, we characterize the vehicular mobility through a detailed analysis of dataset traces, which portray the mobility of a group of taxis in a great city. We perform the analysis using statistical techniques, graph theory and network analysis, extracting properties and behaviors from the mobility traces. The results reveal the existence of regularity and common interests in the studied traces