The unavoidable travel time variability in transportation networks, resulted from the
widespread supply-side and demand-side uncertainties, makes travel time reliability (TTR) …

Aiming to provide a generic modeling framework for finding reliable paths in dynamic and
stochastic transportation networks, this paper addresses a class of two-stage routing models …

Drones have been regarded as a promising means for future delivery industry by many
logistics companies. Several drone-based delivery systems have been proposed but they …

Despite an increasingly large body of research that focuses on the potential demand for
autonomous vehicles (AVs), risk preference is an understudied factor. Given that AV …

To assess the vulnerability of congested road networks, the commonly used full network
scan approach is to evaluate all possible scenarios of link closure using a form of traffic …

The aim of this study is to investigate the solution algorithm for solving the problem of
determining reliable shortest paths in road networks with stochastic travel times. The …

This study investigates the time-dependent reliable shortest path problem (TD-RSPP), which
is commonly encountered in congested urban road networks. Two variants of TD-RSPP are …

We propose a new method for mitigating risk in routing hazardous materials (hazmat), based
on the conditional value-at-risk (CVaR) measure on time-dependent vehicular networks. The …

This paper proposes a bi-objective reliable path-finding algorithm for routing battery electric
vehicles on a road network, with vehicles' energy consumption uncertainty and travel time …

Time geography is a powerful framework for analyzing human activities under various space–
time constraints. At the core of time geography is the concept of the space–time prism, which …