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2022•2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)Requires access

Cellular Automata Simulation of Heterogeneous Freeway Traffic Flow in a Smart City

Nikita V. Bykov

Open publisher page 2 citations

Abstract

The paper proposes a simple simulation model of a heterogeneous transport system consisting of human-driven and automated vehicles. The time evolution of the system is based on a modified version of Wolfram's rule 184 for an elementary cellular automaton. Different rules for each type of pair of following vehicles are proposed (car-following modes). It is taken into account that a group of sequentially moving connected automated vehicles can form a platoon, which moves with a given velocity. The influence of the ratio of the types of vehicles (human-driven and automated) in the system on the characteristics of the traffic flow has been studied. It is shown that such a simplified model can qualitatively correctly describe the main features of a heterogeneous traffic flow.

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What this paper is about

The paper proposes a simple simulation model of a heterogeneous transport system consisting of human-driven and automated vehicles. The time evolution of the system is based on a modified version of Wolfram's rule 184 for an elementary cellular automaton. Different rules for each type of pair of following vehicles are proposed (car-following modes). It is taken into account that a group of sequentially moving connected automated vehicles can form a platoon, which moves with a given velocity. The influence of the ratio of the types of vehicles (human-driven and automated) in the system on the characteristics of the traffic flow has been studied. It is shown that such a simplified model can qualitatively correctly describe the main features of a heterogeneous traffic flow.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper proposes a simple simulation model of a heterogeneous transport system consisting of human-driven and automated vehicles. The time evolution of the system is based on a modified version of Wolfram's rule 184 for an elementary cellular automaton. Different rules for each type of pair of following vehicles are proposed (car-following modes). It is taken into account that a group of sequentially moving connected automated vehicles can form a platoon, which moves with a given velocity. The influence of the ratio of the types of vehicles (human-driven and automated) in the system on the characteristics of the traffic flow has been studied. It is shown that such a simplified model can qualitatively correctly describe the main features of a heterogeneous traffic flow.

Key concepts: Cellular automaton, Platoon, Traffic flow (computer networking), Automaton, Computer science, Intelligent transportation system, Flow (mathematics), Simple (philosophy)

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