Urban mobility is a complex system influenced by various factors such as infrastructure,
technology, and human behavior. Agent-based modeling (ABM) has emerged as a valuable …

A number of models have been developed to predict the spreads of the COVID-19 pandemic
and how non-pharmaceutical interventions (NPIs) such as social distancing, facial …

The regulation time is an important index for formation switching control of connected and
automated vehicle (CA V) platoon. This paper proposes a time-aware formation control (T …

A scaled smart city consists of a combination of infrastructure and vehicular agents working
in concert to direct traffic throughout the vehicular network at a smaller-thanlife scale. In this …

When routing vehicles through a traffic network, routes are generated to reduce the costs of
vehicles traveling through the network with the typical cost function being derived from travel …

To address the potential traffic congestion in urban transportation systems, an intelligent
dynamic Route Guidance System (RGS) is proposed, which calculates the road weights with …

Automated vehicle combines physics and computation on the basis of environment
perception. It can realize intelligent interaction with the environment. Automated vehicle is a …

Routing vehicles through a traffic network such as a modern-day city has been a much-
studied topic, with routing algorithms such as Dynamic User Equilibrium (DUE) having been …

The specification, design, prototyping, analysis, implementation, information management,
verification, privacy and security guarantees, safety assurance, and maintenance of cyber …