This study presents a model to characterize changes in network traffic flows as a result of
implementing connected and autonomous vehicle (CAV) technology based on traffic …

Despite the increasing simulation methods used by the research of transportation
infrastructure resilience in the past decade, a comprehensive review of these simulation …

At T-junctions, a minor road meets a main road and merging vehicles from the minor road
create traffic bottlenecks as significant interactions between vehicles occur. These …

With autonomous vehicles (AVs) still in the testing phase, researchers and planners must
resort to simulation techniques to explore possible futures regarding shared and automated …

As a complex system, crowd dynamics emerge bottom-up from the local interactions
between pedestrians as component subsystems. This article proposes a predictive agent …

Microscopic agent-based traffic simulation is an important tool for the efficient and safe
resolution of various traffic challenges accompanying the introduction of autonomous …

With the emergence of autonomous technology, shared autonomous vehicles (SAVs) will
potentially be the prevalent transportation mode for urban mobility. On one hand, relying on …

Advances in information technologies and vehicle automation have birthed new
transportation services, including shared autonomous vehicles (SAVs). Shared autonomous …

This paper presents a neural network recommender system algorithm for assigning vehicles
to routes based on energy and cost criteria. In this work, we applied this new approach to …

We adapt image inpainting techniques to impute large, irregular missing regions in urban
settings characterized by sparsity, variance in both space and time, and anomalous events …