This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller
in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the …

Controlling the longitudinal movement of heavy-duty vehicles based on optimal control can
be a cost-efficient way of reducing their fuel consumption. Such controllers today mainly …

This paper proposes an ecological adaptive cruise control (EACC) concept with the primary
goal to minimize the fuel consumption in a city bus with an internal combustion engine (ICE) …

The fuel consumption of heavy-duty vehicles can be reduced by using information about the
upcoming road section when controlling the vehicles. Most manufacturers of heavy-duty …

Truck platooning closely regulates gaps between heavy-duty freight trucks to exploit
slipstream effects for reducing aerodynamic friction—and therefore reducing engine effort …

Agent-Based Models (ABMs) are being increasingly used to evaluate urban systems, urban
policies and environmental impacts. One prerequisite for using the ABM framework consists …

This dissertation assesses eco-driving effectiveness in several key traffic scenarios that
include passenger vehicle transportation in highway driving and urban driving that also …

Abstract Agent-Based Models (ABM) are being increasingly used to evaluate urban systems,
urban policies and environmental impacts. One prerequisite for using the ABM framework …

This thesis presents a predictive energy management controller for long-haul hybrid trucks.
In a receding horizon control framework, the vehicle speed reference, battery energy …

The fuel consumption of heavy-duty vehicles can be reduced by using information about the
upcoming road section when controlling the vehicles. Most manufacturers of heavy-duty …