Influence of driver behavior in the emergence of traffic gridlocks

Enrique Pazos ()
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Enrique Pazos: Instituto de Investigación en Ciencias Físicas y Matemáticas, Universidad de San Carlos de Guatemala, Edificio T-1, Ciudad Universitaria Z. 12 Guatemala 01012, Guatemala

International Journal of Modern Physics C (IJMPC), 2021, vol. 32, issue 04, 1-13

Abstract: We present a microscopic driving algorithm that prescribes the acceleration using three parameters: the distance to the leading vehicle, to the next traffic light and to the nearest stopping point when the next traffic light is in the red phase. We apply this algorithm to construct decision trees that enable two driving behaviors: aggressive and careful. The focus of this study is to analyze the amount of aggressive drivers that are needed in order to generate a traffic gridlock in a portion of a city with signalized intersections. At rush hour, aggressive drivers will enter the intersection regardless if they have enough time or space to clear it. When their traffic light changes they block other drivers, thus providing the conditions for a gridlock to develop. We find that gridlocks emerge even with very few aggressive drivers present. These results support the idea of promoting good driving behavior to avoid heavy congestion during rush hours.

Keywords: Gridlock; driver behavior; microscopic model; urban traffic (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0129183121500510

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