Research Article

Comparing Dynamic User Equilibrium and Noniterative Stochastic Route Choice in a Simulation-Based Dynamic Traffic Assignment Model: Practical Considerations for Large-Scale Networks

Figure 8

(a) MAE, (b) RMSE, and (c) RMSN for individual link traffic counts from the DUE and SRC with different percentage of adaptive drivers and five replications with different random seeds for each adaptiveness level against observed link volume data. X-axis shows the percentage of adaptive drivers in the network for the SRC and y-axis represents the error as volume (vehicles). DUE error remains constant and is shown as the straight dashed line as no adaptive driving is considered in DUE.
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