Adapting a cellular automata model to describe heterogeneous traffic with human-driven, automated, and communicating automated vehicles

Tim Vranken, Benjamin Sliwa, Christian Wietfeld and Michael Schreckenberg

Physica A: Statistical Mechanics and its Applications, 2021, vol. 570, issue C

Abstract: This paper introduces a cellular automaton design for single lane highway sections with a reduced time step length of 0.1 s. It is able to model automated and human vehicle agents in heterogeneous as well as homogeneous traffic. Furthermore, it allows agents to adopt different behaviour patterns depending on whether they follow automated or human vehicle agents. A distinction between communicating and non-communicating automated vehicles is also possible. Simulations showed that autonomous vehicles are expected to increase road capacity, reduce the frequency and lifetime of traffic jams, and improve traffic synchronisation. Homogeneous communicating automated vehicles traffic can increase the capacity up to about 480% compared to conventional traffic. Furthermore, potential problems with the human–robot interaction that could result in accidents were identified and removed.

Keywords: Traffic; Automated vehicle model; Heterogeneous traffic model; Cellular automata model (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:570:y:2021:i:c:s0378437121000649

DOI: 10.1016/j.physa.2021.125792

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