To support planning of alternative fuel technology (eg, battery-electric locomotives)
deployment for decarbonizing non-electrified freight rail, we develop a convex optimization …

This paper presents a method for estimating Well-to-Wheel (WTW) energy use and
greenhouse gas (GHG) emissions attributed to the advanced railway propulsion systems …

This research applies multi-objective dynamic programming–specifically, goal programming–
solved using a computationally efficient heuristic minimum path-finding algorithm (A*) to …

Reducing greenhouse gas (GHG) emissions from transport is critical to global sustainable
development efforts. Large-scale railways have the potential to reduce GHG emissions …

Hybrid electric and fuel cell propulsion systems have become increasingly prevalent in
locomotive and rail applications over the last decade. In this simulation-based study, a …

Growing concerns about greenhouse gas (GHG) emissions are driving research into carbon-
free propulsion systems. Heavy-duty long-haul transport faces challenges like rapid …

The method of improving a two-section mainline diesel locomotive by using energy storage
in the traction system is considered. A mathematical model was developed to study the …

The method of improving a two-section mainline diesel locomotive by using energy storage
in the traction system is considered. A mathematical model was developed to study the …

This study introduces a method for energy reduction in freight train operations by integrating
goal programming with the A* algorithm into the train simulator, NeTrainSim. The method …

Although train modeling research is vast, most available simulation tools are confined to city-
or trip-scale analysis, primarily offering micro-level simulations of network segments. This …