Vehicle speed control algorithms for data delivery and eco-driving

Recently, V2V/V2I and connected vehicle (CV) technologies have received considerable research interest due to its potential breakthrough applications in eco-driving, road safety, surveillance, infotainment, and many more. In this paper, for the first time in literature, we address the problem of data-aware eco-driving. Specifically, we harnessed the latest V2V/V2I technologies to propose vehicle speed advisory system based on microscopic fuel model that simultaneously minimize fuel consumption and maximize probability of data delivery, thereby making the system flexible in handling sustainability and data dependent applications. Preliminary numerical studies are carried out demonstrating the significance of the problem and the proposed algorithms in terms of fuel and data downloading efficiencies.