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Pedestrian and Bicycle Volume Data Collection Using Drone Technology
Journal of Urban Technology ( IF 5.150 ) Pub Date : 2020-02-06 , DOI: 10.1080/10630732.2020.1715158
Dohyung Kim

ABSTRACT Pedestrian and bicycle volume data is one of the most fundamental types of data for active transportation planning. However, they are not yet well developed. This paper explores an innovative method that uses drone technology to collect pedestrian and bicycle volume data. It confirms the feasibility of the technology as an alternative method to collect complex movements of pedestrians and bicycles. Furthermore, this paper presents a method that converts the video footage to a spatiotemporal dataset. The dataset includes not only the pedestrian and bicycle count data, but also their behavior and characteristics. The spatiotemporal data can become a valuable resource for a variety of active transportation planning practices and research, including the collection of pedestrian and bicycle volume data in parks and recreational areas, the study of collisions between pedestrians and bicycles, and the analysis of the social path. Since it is possible to envision that the development of technologies can overcome current technical difficulties, such as battery lifespan, it is worth considering the application of drone technology to active transportation planning practice and research.

中文翻译:

使用无人机技术收集行人和自行车体积数据

摘要 行人和自行车流量数据是主动交通规划最基本的数据类型之一。然而,它们还没有得到很好的发展。本文探索了一种利用无人机技术收集行人和自行车体积数据的创新方法。它证实了该技术作为收集行人和自行车复杂运动的替代方法的可行性。此外,本文提出了一种将视频素材转换为时空数据集的方法。该数据集不仅包括行人和自行车的数量数据,还包括他们的行为和特征。时空数据可以成为各种主动交通规划实践和研究的宝贵资源,包括收集公园和休闲区的行人和自行车流量数据,行人和自行车碰撞的研究,以及社会路径的分析。由于可以设想技术的发展可以克服当前的技术难题,例如电池寿命,因此值得考虑将无人机技术应用于主动交通规划实践和研究。
更新日期:2020-02-06
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