Over decades, traffic models and control strategies based on disaggregated traffic flow models, which track individual vehicle movements on a second or sub-second basis, have been proposed and applied for isolated intersections or coordinated intersections in arterial roads. In contrast, macroscopic network traffic modeling (MFD or NFD) aims at simplifying the complex task of urban network modeling where the collective traffic flow dynamics of subnetworks capture the main characteristics of traffic congestion propagation, such as the evolution of traffic states in different regions of the city. This approach also offers great opportunities to facilitate efficient large-scale control in congested networks, e.g. perimeter control. This workshop follows this research direction, and encourages the recent advances in traffic modeling and management of large-scale (multimodal) urban networks, addressing both theoretical and empirical aspects.