Abstract

The aim of this paper is to develop a computer algorithm that analyzes pedestrian behavior at an urban site in Bogota, Colombia, considering that the assessment of pedestrian behavior is a road safety priority. Pedestrians were video-taped as they crossed a selected road. An algorithm was developed in order to record, from these videos, pedestrian and vehicle positions and speeds. This information made possible the identification of hazardous behaviors, which were compared through visual assessments. 429 pedestrians crossed the selected road at an average distance of 4.5 meters from vehicles that moved at an average speed of 21 km/h. With a maximum difference of 19 % with respect to visual assessments, the algorithm estimated that 58.5 % pedestrians crossed through non-designated locations; 62.2 % crossed near moving vehicles, and that 41.2 % ran while they were crossing the road. Video-based analysis can be used to assess pedestrians' behavior. Future research work should focus on improving both the accuracy and the number of safety parameters of the algorithm.

Highlights

  • To assess the validity of the video-based information, selected behaviors of pedestrians assessed with the algorithm that was created for the video analysis were compared whit those assessed visually

  • Pedestrians who were missed by the algorithm were not related to whether they crossed through designated locations (Chi-squared test, p value=0.1170) or crossed at less than 2 meters from moving vehicles (Chi-squared test, p value=0.3133); the estimated proportion of pedestrians running when crossing was higher among the ones who were detected by the algorithm (46.9 %) than among those who were not detected (20 %) (Chi-squared test, p-value=0.0184), and the estimated proportion of pedestrians running at any time during the cross was higher among those who were detected by the algorithm (71.8 %) than among those who were not detected (30 %) (Chi-squared test, p- value

  • The application developed in this research measured validly the proportion of pedestrians crossing through designated locations and the number and proportion of pedestrians who crossed it running

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Summary

Introduction

Design In this study, a computer algorithm was developed to gather information on pedestrian behavior from videos taken in a busy urban location in Bogotá, Colombia. Algorithm development and testing The objective of the study was to develop an algorithm that allowed analyzing automatically videos to identify and record pedestrian position and pedestrian distance from motor vehicles, as well as speeds of pedestrians and vehicles during the crossing of a specific road segment.

Results
Conclusion
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