A Unified Pedestrian Routing Model Combining Multiple Graph-Based Navigation Methods

Peter M. Kielar (), Daniel H. Biedermann (), Angelika Kneidl () and André Borrmann ()
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Peter M. Kielar: Technische Universität München
Daniel H. Biedermann: Technische Universität München
Angelika Kneidl: accu:rate GmbH Institute for Crowd Simulation
André Borrmann: Technische Universität München

A chapter in Traffic and Granular Flow '15, 2016, pp 241-248 from Springer

Abstract: Abstract TheKielar, Peter M. navigationBiedermann, Daniel H. behaviour of pedestriansKneidl, Angelika in streetBorrmann, André networks can be forecast by computer simulations based on routing models. These models characterise pedestrians’ route choices regarding a variety of factors. However, the spatial cognition aspects are often omitted in routing models; thus, the diversity of predictable routes is limited. Here, we present a unified routing model that describes route choices of pedestrians by integrating the spatial cognitive aspects of allocentric-based and egocentric-based navigation. We achieved this by combining graph-based routing methods, each formalising a single spatial cognitive aspect. In addition, we present a generic calibration method for our model. For validation, we show that our model is able to correctly predict the routing behaviour of pedestrians in a case study.

Keywords: Pedestrian Route Choice; Routing Behavior; Routing Method; Predict Route; General Calibration Method (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-33482-0_31

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DOI: 10.1007/978-3-319-33482-0_31

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