A bi-level, three-stage Stochastic Mathematical Program with Equilibrium Constraints (SMPEC) is proposed for quantifying and optimizing travel time resilience in roadway networks under non-recurring natural or human-induced disaster events. At the upper-level, a sequence of optimal preparedness...

A continuum model that describes a disordered, heterogeneous traffic stream is presented. Such systems are widely prevalent in developing countries where classical traffic models cannot be readily applied. The characteristics of such systems are unique since drivers of smaller vehicles exploit...

In this paper, the problem of optimally serving one off-loads arriving on spot markets through rail services is addressed. To facilitate rail’s responsiveness, collaboration among competing rail carriers positioned to handle the newly arising demand is considered. Through such collaboration,...

The problem of optimally deploying urban search and rescue (USAR) teams to disaster sites in post-disaster circumstances is formulated as a multistage stochastic program (MSP). A portion of sites requiring assistance arrive dynamically over the decision horizon and key problem characteristics...

This work addresses the problem of determining optimal routing decisions in signalized traffic networks, where arc travel times vary over time and are known only probabilistically (i.e. in stochastic, time-varying (STV) networks) and additional delay due to signal operations is explicitly...