Integrating multi-agent tasks into TrafficDojo can significantly enhance its capabilities by allowing for more complex and realistic traffic scenarios to be simulated and evaluated. With multi-agent tasks, TrafficDojo can model interactions between multiple vehicles, pedestrians, and traffic signals simultaneously, providing a more comprehensive understanding of how different agents interact in a dynamic environment. This capability enables researchers to study emergent behaviors, congestion patterns, and coordination strategies among various agents in a traffic system. Additionally, multi-agent tasks allow for the exploration of cooperative or competitive behaviors between different entities on the road network, leading to more robust TSC algorithms that consider holistic traffic dynamics.