Multi-performance predictive cruise control of connected vehicles on urban roads

Considering a two-connected vehicles system on urban roads, this paper proposes a novel multi-performance model predictive cruise control strategy to drive the host vehicle efficiently. The cruise performances mainly consist of fuel economy, tracking capability, ride comfort and safety driving, which are conflicting. The notion of utopia points of multi-objective is used to reconcile these performances and the predictive cruise controller is computed by online minimizing the distance of its cost vector to a vector of independently minimized objectives, i.e., the utopia point. Compared to the Intelligent Driver Model (IDM) method, the effectiveness of the presented strategy is demonstrated by four traffic scenarios.