This paper aims to provide a state-of-the-art review of the transport network design problem
(NDP) under uncertainty and to present some new developments on a bi-objective-reliable …

A multi-period multipath refueling location model is developed to expand public electric
vehicle (EV) charging network to dynamically satisfy origin–destination (O–D) trips with the …

Abstract The Real Options (RO) approach is a powerful tool for decision analysis in dynamic
or non-stationary stochastic settings, as it considers the value of decision flexibility under …

Operation of on-demand services like taxis, dynamic ridesharing services, or vehicle sharing
depends significantly on the positioning of idle vehicles to anticipate future demand and …

We consider the problem of identifying optimal location of electric vehicle (EV) charging
stations, while accounting for (i) route optimization and (ii) charging cost optimization by the …

Non-myopic dial-a-ride problem and other related dynamic vehicle routing problems often
ignore the need for non-myopic pricing under the assumption of elastic demand, which …

Given the rapid advances in unmanned aerial vehicles, or drones, and increasing need to
monitor at a city level, one of the current research gaps is how to systematically deploy …

While advancements in vehicular and wireless communication technologies are sha** the
future of our transportation system, emergency medical services (EMS) are not receiving …

Planning water supply infrastructure includes identifying interventions that cost‐effectively
secure an acceptably reliable water supply. Climate change is a source of uncertainty for …

The first analytical stochastic and dynamic model for optimizing transit service switching is
proposed for “smart transit” applications and for operating shared autonomous transit fleets …