A time-dependent graph is, informally speaking, a graph structure dynamically changes with
time. In such graphs, the weights associated with edges dynamically change over time, that …

Most of the critical real-world networks are continuously changing and evolving with time.
Motivated by the growing importance and widespread impact of this type of networks, the …

New technologies and the deployment of mobile and nomadic services are driving the
emergence of complex communications networks, that have a highly dynamic behavior. This …

Multi-agent simulation has increasingly been used for transportation simulation in recent
years. With current techniques, it is possible to simulate systems consisting of several million …

Given applications such as location based services and the spatio-temporal queries they
may pose on a spatial network (eg, road networks), the goal is to develop a simple and …

Spatio-temporal networks are spatial networks whose topology and parameters change with
time. These networks are important due to many critical applications such as emergency …

Increasing traffic demand, recurring congestion and sophisticated e-commerce business
models lead to enormous challenges for routing in city logistics. We introduce a planning …

In the last decades, research on emergency traffic management has received high attention
from the operations research community and many pioneer researchers have established it …

As it has become the norm for cloud providers to host multiple datacenters around the globe,
significant demands exist for inter-datacenter data transfers in large volumes, eg, migration …

The problem of point-to-point fastest path computation in static spatial networks is
extensively studied with many precomputation techniques proposed to speed-up the …