Abstract
There are various macroscopic and microscopic road traffic models that allow traffic flow analysis. However, it should be emphasized that standard traffic flow models do not include emergency vehicle traffic. We propose a multi-agent microscopic model for analyzing traffic flow of emergency vehicles with some limitations to the distance between vehicles and their proper distribution (corridor of life) to leave free passage for a privileged vehicle. Real data was used to calibrate and validate the model. Our simulation studies show the importance of certain aspects of road traffic (distance between vehicles, corridor of life, size and type of roadside, friction conflict, etc.) in order to increase/decrease the traffic flow in the aspect of an approaching of emergency vehicle.
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Acknowledgement
The authors would like to thank Daniel Budka for helping in the field experiments and MiraTrans Transport i Spedycja Sp. z o.o. for lending a truck with a driver to carry out measurements in order to calibrate the developed model.
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Małecki, K., Kamiński, M., Wąs, J. (2021). A Multi-cell Cellular Automata Model of Traffic Flow with Emergency Vehicles: Effect of a Corridor of Life. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12742. Springer, Cham. https://doi.org/10.1007/978-3-030-77961-0_4
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