Leveraging recent advances in generative AI, multi-agent systems are increasingly being
developed to enhance the functionality and efficiency of smart city applications. This paper …

The stop-and-go traffic pattern at urban intersections leads to excessive energy use due to
frequent vehicle braking, idling, and acceleration. This pattern, amplified by the growing use …

To solve the city's traffic congestion problem, micro-traffic simulation is widely used to
analyze the current situation and implement a plan to solve the problem. With the nature of …

Connected and automated vehicles (CAVs) can bring safety, mobility, and energy benefits to
transportation systems. Ideally, CAV applications would be fully evaluated and validated …

As the market share of electric vehicles (EVs) continues to grow, driving range capability has
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …

As traffic simulation software becomes more effective for realistically simulating and
analyzing traffic dynamics and vehicle interactions on the mesoscopic and microscopic …

In the contemporary world, transportation is one of the foremost necessities for modern
society, particularly within urban locales. Effective traffic management and planning …

Traffic simulators are potent tools for vehicle modeling and analysis in urban areas. Effective
management of the data generated is essential to ensure a continuous flow of vehicles and …