DATA COLLECTION METHOD FOR PEDESTRIAN MOVEMENT VARIABLES

Authors

  • Kardi Teknomo Doctoral student Graduate School of Information Science, Tohoku University Japan
  • Yasushi Takeyama Ass. Prof Graduate School of Information Science, Tohoku University Japan
  • Hajime Inamura Prof. Graduate School of Information Science, Tohoku University Japan

DOI:

https://doi.org/10.9744/ced.2.1.pp.%2043-48

Keywords:

Microscopic pedestrian model, image processing.

Abstract

The need of tools for design and evaluation of pedestrian areas, subways stations, entrance hall, shopping mall, escape routes, stadium etc lead to the necessity of a pedestrian model. One approach pedestrian model is Microscopic Pedestrian Simulation Model. To be able to develop and calibrate a microscopic pedestrian simulation model, a number of variables need to be considered. As the first step of model development, some data was collected using video and the coordinate of the head path through image processing were also taken. Several numbers of variables can be gathered to describe the behavior of pedestrian from a different point of view. This paper describes how to obtain variables from video taking and simple image processing that can represent the movement of pedestrians and its variables

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Published

2004-06-02

How to Cite

Teknomo, K., Takeyama, Y., & Inamura, H. (2004). DATA COLLECTION METHOD FOR PEDESTRIAN MOVEMENT VARIABLES. Civil Engineering Dimension, 2(1), pp. 43-48. https://doi.org/10.9744/ced.2.1.pp. 43-48

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Section

Articles