Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …

The fact that road transportation negatively affects the quality of the environment and
deteriorates its bearing capacity has drawn a wide range of concerns among researchers. In …

Throughout history, networks have provided the foundations by which humans have
conducted their economic activities. Transportation and logistical networks make possible …

Abstract Dynamic Traffic Assignment (DTA) has evolved substantially since the pioneering
work of Merchant and Nemhauser. Numerous formulations and solutions approaches have …

This paper details models and algorithms which can be applied to evacuation problems.
While it concentrates on building evacuation many of the results are applicable also to …

This paper introduces and studies the class of differential variational inequalities (DVIs) in a
finite-dimensional Euclidean space. The DVI provides a powerful modeling paradigm for …

GIS data and tools are revolutionizing transportation research and decision making,
allowing transportation analysts and professionals to understand and solve complex …

In this survey, we summarize different modeling and solution concepts of networking games,
as well as a number of different applications in telecommunications that make use of or can …

This chapter is dedicated to the Aimsun transport simulation software, with particular
emphasis on its dynamic simulation capabilities. The main topics discussed are the …

Real-time coordinated traffic management strategies that benefit from parsimonious models
with aggregated network dynamics, provide a new generation of smart hierarchical …