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Driver Behavioral Algorithms at Unregulated Priority Intersections and When Bypassing Obstacles

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Mathematical Models and Computer Simulations Aims and scope

Abstract

The set of “cooperative driver” algorithms for a two-dimensional microscopic model of vehicular traffic based on the cellular automata theory is presented. Cases of changing lanes when bypassing an obstacle on a multilane road and entering from a secondary road to the main road are considered; for each case, a flowchart of the cooperative driver algorithm is presented. The features of the software implementation of algorithms as part of a complex of programs for modeling traffic flows are discussed. Test calculations are carried out to validate the algorithms. The calculations show that the presence of cooperative drivers in the model makes it possible to reduce the waiting time for changing lanes or entry for cars without priority, which corresponds to the real situation. The presented results confirm that the created algorithms and software modules make it possible to adequately simulate various situations that arise during the movement of vehicles and are caused by the human factor.

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  1. Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, Russia

    A. A. Chechina

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  1. A. A. Chechina
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Correspondence to A. A. Chechina.

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Chechina, A.A. Driver Behavioral Algorithms at Unregulated Priority Intersections and When Bypassing Obstacles. Math Models Comput Simul 14, 297–304 (2022). https://doi.org/10.1134/S2070048222020053

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  • DOI: https://doi.org/10.1134/S2070048222020053

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