This study addresses a large-scale multimodal transit network design problem, with Shared
Autonomous Mobility Services (SAMS) as both transit feeders and an origin-to-destination …

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

The rapid onset of the COVID-19 pandemic in March 2020 marked a challenging time for the
US and its freight industry. Manufacturing slowed, consumer purchasing patterns changed, …

This paper investigates the potential of autonomous minibuses which take on-demand
directional routes for pick-up and drop-off in a grid network of wider area with low density, …

… paths between facilities with a distance below the maximum given range or (ii) on paths with
… on the baseline network, may have a maximum distance increase if flows are rerouted, or …

This paper develops a semi-on-demand transit feeder service using shared autonomous
vehicles (SAVs) and zonal dispatching control based on reinforcement learning (RL). This …

Large earthquakes occur episodically in the Cascadia subduction zone. A numerical model
has been used to simulate and assess the hazards of a tsunami generated by a hypothetical …

Strong evidence suggests that the Cascadia subduction zone, off the west coast of Canada
and the lUnited States, is strongly seismically-coupled and that a possible megathrust …

We consider multi-agent scheduling on a single machine, where the objective functions of
the agents are of the max-form. For the feasibility model, we show that the problem can be …

Coarse resolution ocean models tend to poorly resolve many smaller‐scale phenomena,
including the equatorial currents narrowly confined around the equator. We study the free …