Video analysis of bicyclist and pedestrian movement on shared-use paths under daylight and electric lighting conditions—Method exploration

Oksana Yastremska-Kravchenko , Aliaksei Laureshyn , Johan Rahm , Maria Johansson , Anna Niska , Carl Johnsson , Carmelo D'agostino
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Abstract

This study introduces a progressive methodology for examining the travel behaviour of bicyclists and pedestrians under both daylight and electric lighting conditions. By analysing data from naturalistic/undisturbed settings, we aimed to assess the representativeness of participant behaviour in an invited context compared to that of typical road users. This paper expands upon the methodological exploration initiated in the original Video Analysis of Pedestrian Movement (VAPM) study by analysing the microscopic movements of both pedestrians and bicyclists in outdoor environments under both natural and electric lighting conditions. Furthermore, the paper investigates bicyclists’ bi-directional interactions in a naturalistic setting, adding a valuable dimension to the study's comprehensive analysis. Our research introduces an effective approach to data collection through the use of drone technology to obtain microscopic data from video analysis. This method has the potential to enhance travel quality for bicyclists during the hours of twilight and darkness and increase the likelihood of short motor vehicle trips being replaced by active, sustainable forms of transport.

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日光和电光照明条件下共享路径上自行车和行人移动情况的视频分析--方法探索
本研究介绍了一种渐进式方法,用于研究自行车手和行人在日光和电力照明条件下的出行行为。通过分析来自自然/无干扰环境的数据,我们旨在评估与典型道路使用者相比,受邀者行为的代表性。本文在最初的行人运动视频分析研究(VAPM)基础上,对行人和骑自行车者在室外自然光和电光条件下的微观运动进行了分析。此外,本文还调查了自行车手在自然环境下的双向互动,为该研究的全面分析增加了一个有价值的维度。我们的研究引入了一种有效的数据收集方法,即使用无人机技术从视频分析中获取微观数据。这种方法有可能提高自行车骑行者在黄昏和黑暗时段的出行质量,并增加以积极、可持续的交通方式取代短途机动车出行的可能性。
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