This article presents an overview of the agent‐based modeling and simulation approach
and its recent developments in transport fields, with the purpose of discovering the …

Agent-based modeling and simulation has evolved as a powerful tool for modeling complex
systems, offering insights into emergent behaviors and interactions among diverse agents …

In this article, a novel distributed policy iteration algorithm is established for infinite horizon
optimal control problems of continuous-time nonlinear systems. In each iteration of the …

Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …

This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

Reasonable setting of traffic signals can be very helpful in alleviating congestion in urban
traffic networks. Meta-heuristic optimization algorithms have proved themselves to be able to …

In a natural disaster, when there is a sudden rush in vehicle movement from dense
residential areas of a city towards some designated evacuation centers, traffic needs to be …

Lack of situation awareness when dealing with complex dynamic environments is
recognized as one of the main causes of human errors that may lead to serious incidents …

This work presents a distributed real-time simulation setup for automated driving function
testing in urban environments. In the automotive domain, a large number of simulation …

The multi-agent environment is now widely recognised as a key design abstraction for
constructing multi-agent systems, equally important as the agents. An explicitly designed …