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A Cellular Automaton Based System for Traffic Analyses on the Roundabout

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10449))

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Abstract

The paper presents an analysis of the impact of road conditions, the distance between vehicles and the number of pedestrians on the roundabout capacity. The study was based on a developed cellular automaton (CA) model and the implemented simulation system. The developed CA model extends the basic traffic model with a braking mechanism. It also reflects the actual technical conditions of vehicles (acceleration and braking depending on the dimensions and functions of the vehicle, as well as the driving at a roundabout of different speeds that are appropriate for the size of the vehicle). The study was based on the example of a two-lane roundabout with four two-lane inlet roads.

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Małecki, K., Wątróbski, J., Wolski, W. (2017). A Cellular Automaton Based System for Traffic Analyses on the Roundabout. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_6

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