Multiobjective Calibration Framework for Pedestrian Simulation Models: A study on the Effect of Movement Base Cases, Metrics, and Density Levels
Results of calibrating the model using a single objective. Graphs (a)-(d) show, per combination of metric and scenario, how the objective values (calculated according to (11)) are distributed. Graphs (e)-(j) show the nonnormalized, nonsquared errors (i.e., ) which give insight into size and the distribution of the errors. The flow scenarios are identified by their acronyms (i.e., B-H = bidirectional high, B-L = bidirectional low, B = bottleneck, C-H = corner high, C-L = corner low, T â€“H = T-junction high, and T-L = T-junction low).
Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.