Signalized Traffic Management Optimizing Energy Efficiency Under Driver Preferences for Vehicles With Heterogeneous Powertrains

This paper presents a novel approach to signalized traffic management that optimizes energy efficiency while considering driver preferences. In order to address the heterogeneous nature of vehicles, our methodology is applicable to both electric and internal combustion engine (ICE) vehicles. Traffic flow in signalized intersections is improved, taking into account that drivers want to reach the desired destination as soon as possible, under consideration of the acceleration preference of each individual driver. Furthermore, road safety is ensured by maintaining a safe distance from the preceding vehicle. Simulation results demonstrate that our approach significantly improves energy efficiency and reduces fuel consumption, while also accommodating driver preferences to enhance overall satisfaction. A comparison with train-like velocity profiles revealed energy reductions of 2.14%, 8.37%, and 9.67% for electric, gasoline, and diesel vehicles, respectively, when the proposed methodology was employed.