Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths

The estimation of trip lengths has been proven to be a key feature for the application aggregated traffic models based on Macroscopic Fundamental Diagram. paths and distances traveled by vehicles in regional networks vary over time, due changes conditions. In this paper, we develop methodological framework explicitly determine traffic-dependent estimate their travel distances. This is incorporated into dynamic assignment module designed target Deterministic Stochastic User Equilibrium networks. We first discuss how characteristic are influenced dynamics. then test proposed methodology estimating small medium-sized networks, considering simulation environment. show that our provides good estimations lengths. Our results also shed light importance time-dependent influence dynamics regions.