Matin S. Nabavi Niaki, Nicolas Saunier, Luis F. Miranda-Moreno
Analysing cyclist behaviour at cycling facility discontinuities using video data
Číslo: 1/2018
Periodikum: Transactions on Transport Sciences
DOI: 10.5507/tots.2018.006
Klíčová slova: Cyclist behaviour, discontinuity, motion pattern learning, video analysis, speed analysis, trajectory clustering
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Using a set of discontinuity measures proposed in a previous work and applied to Montreal's cycling network, video data was collected from a pole-mounted camera at locations with discontinuity and control sites. After extracting road user trajectories from the video data, a trajectory clustering algorithm was applied to find cyclists' motion patterns and the various maneuver strategies adopted by cyclists. Speeds and acceleration statistics are extracted and compared between different motion patterns and between discontinuity and control sites. Results show that cyclists undertake a larger number of maneuvers at points of discontinuity compared to their control sites, and that both cyclist accelerations and speeds exhibit larger variations at discontinuities compared to larger and more stable speeds at control sites.