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Real-Time Collision Avoidance for Pedestrian and Bicyclist Simulation: a Smooth and Predictive Approach

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In Proc. of 2nd International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS13), Ansar-Ul-Haque YASAR, Luk KNAPEN (eds.), pp. 815-820, Halifax, Nova Scotia, Canada, Elsevier, Best Paper Award, 2013.
DOI: 10.1016/j.procs.2013.06.108.
This article introduces a new collision avoidance model enabling the design of efficient realistic virtual pedestrian and cyclist behaviors. It is a force-based model using collision prediction with dynamic time-windows to predict future potential collisions with obstacles and other individuals. It introduces a new type of force called sliding force to allow a smooth avoidance of potential collisions while enabling the pedestrian to continue to progress towards its goal. Unlike most existing models, our forces are not scaled according to the distance to the obstacle but depending on the estimate of the collision time with this obstacle. This inherently integrates obstacles’ velocity. This greatly reduces the computational complexity of the model while ensuring a smooth avoidance. This model is oscillation-free except for concave obstacles. It enables the reproduction of inherent emergent properties of real crowds such as spontaneous organizations of pedestrians into lane lines, etc. This model is computationally efficient and designed for real time simulation of large crowds.
collision avoidance, pedestrian behavior, crowd simulation, cyclist behavior
Publication Category:
International conference with proceedings
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