01660239

Component

Ideally, a multitude of steps has to be taken before a commercial implementation of a pedestrian model is used in practice. Calibration, the main goal of which is to increase the accuracy of the predictions by determining the set of values for the model parameters that allows for the best replication of reality, has an important role in this process. Yet, up to recently, calibration has received relatively little attention within the field of pedestrian modelling. Most studies focus on one specific movement base case only and/or use a single metric. It is questionable how generally applicable a pedestrian simulation model is that has been calibrated using a limited set of movement base cases and one metric. The objective of this research is two-fold, namely to 1) determine the effect of the choice of movement base cases, metrics and density levels on the calibration results and 2) develop a multiple-objective calibration approach to determine the aforementioned effects. In this paper a multiple-objective calibration scheme is presented for pedestrian simulation models, in which multiple normalised metrics (i.e. flow, spatial distribution, effort, and travel time) are combined by means of weighted sum method that accounts for the stochastic nature of the model. Based on the analysis of the calibration results it can be concluded that 1) it is necessary to use multiple movement base cases when calibrating a model to capture all relevant behaviours, 2) the level of density influences the calibration results and 3) the choice of metric or combinations of metrics influence the results severely.

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

18-02495

English

14p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Calibration; Metrics (Quantitative assessment); Pedestrian density; Pedestrian movement; Pedestrians; Simulation

Movement base cases

Highways; Operations and Traffic Management; Pedestrians and Bicyclists

Transportation Research Board Annual Meeting 2018 Paper #18-02495

TRIS, TRB, ATRI

Jan 8 2018 10:36AM