This paper introduces a lane group-based mesoscopic dynamic network loading (DNL) model to capture the trajectory of each vehicle by considering interactions of vehicles on a multilane road segment and intersection. The model classifies each road segment or intersection approach into a running and a queueing section, contains rules to build vehicle queuing profiles, and accounts for lane geometry features of discharging block and traffic responses to intersection control. In Suzhou, China, an urban street network was selected for model application; the modeled vehicle volumes were found to be consistent with field measurements. The model can help accurately estimate vehicle travel time on a road segment at an intersection approach, making it possible to efficiently analyze the time-dependent progression of vehicles, which can be used in dynamic traffic assignment models to develop effective congestion mitigation measures.
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