![]() RésuméĬet article présente un cadre méthodologique détaillé pour la collecte de données microscopiques sur le comportement des conducteurs et des véhicules sur un long segment de route avec une application sur l’ensemble du tronçon d’une bretelle d’autoroute en utilisant des véhicules aériens sans pilote (UAV) simples et multiples. The results showed good performance of the proposed methodology, including when aerial videos were taken from oblique angles. The methodology was applied at two ramps and verified with speed data acquired from differential GPS receivers using three different error metrics. Specific commercial software and procedures used to complete the data collection are explained. Different UAV setups are recommended and can be used depending on the site conditions. ![]() The methodology allows users to collect reliable and complete trajectories of traffic movements in areas with challenging physical characteristics (long road segment, horizontal curvature, changing elevation, and presence of shadow), challenging traffic characteristics (high traffic volume, high speeds, and high-speed changes), and restrictive regulations (UAVs prohibited from hovering over the freeway or the right-of-way). #Freeway pro px driverThis paper presents a detailed methodological framework for collecting microscopic driver and vehicle behaviour data over a long road segment with an application to the entire stretch of a freeway ramp segment using single and multiple unmanned aerial vehicles (UAVs). ![]()
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