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2018 | OriginalPaper | Chapter

Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis

Authors : Sing Kuang Tan, Nan Hu, Wentong Cai

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

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Abstract

In this paper, an agent-based data-driven model that focuses on path planning layer of origin/destination popularities and route choice is developed. This model improves on the existing mathematical modeling and pattern recognition approaches. The paths and origins/destinations are extracted from a video. The parameters are calibrated from density map generated from the video. We carried out validation on the path probabilities and densities, and showed that our model generates better results than the previous approaches. To demonstrate the usefulness of the approach, we also carried out a case study on capacity analysis of a building layout based on video data.

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Title: Data-Driven Agent-Based Simulation for Pedestrian Capacity Analysis
Authors: Sing Kuang Tan
Nan Hu
Wentong Cai
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2018
Print ISBN: 978-3-319-93700-7

Electronic ISBN: 978-3-319-93701-4

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-93701-4_8

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