Work

Pedestrian Flow Management Model for a Controlled Pedestrian Crossing

Year: 2025

Type: article

Abstract: A mathematical model for pedestrian flow control at a controlled pedestrian crossing is presented. This model is based on a set of fuzzy logic rules to minimize the likelihood of pedestrian collisions, improve road safety at pedestrian crossings, and reduce delays for vehicles traveling in front of the controlled pedestrian crossing. The calculated portion of pedestrian flow control signals based on fuzzy inference is presented. The characteristics of fuzzy inference rules are determined. A visualization of the fuzzy inference surface for pedestrian flow control is presented.

Source: Voronezh Scientific-Technical Bulletin

DOI: 10.34220/2311-8873-2025-109-118

Authors: Liliya Kuschenko, Sergey Dorokhin, Alina Kambur

Institution: Voronezh State University of Forestry and Technologies

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W7117110591

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Cites: 8

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