Using cellular automata to investigate pedestrian conflicts with vehicles in crosswalk at signalized intersection
type: Item
instance of: scholarly article
title: Using cellular automata to investigate pedestrian conflicts with vehicles in crosswalk at signalized intersection
zbMATH Open document ID: 1253.90067
DOI: 10.1155/2012/287502
author: Xuedong Yan
author: Xiao-Meng Li
author: X. G. Li
author: Jiang-Feng Wang
published in: Discrete Dynamics in Nature and Society
publication date: 2012-12-18T00:00:00Z
review text: Summary: The operational efficiency and safety of pedestrian flows at intersections is an important aspect of urban traffic. Particularly, conflicts between pedestrians and vehicles in crosswalk are one of the most influential factors for intersection safety. This paper presents a cellular automata model that simulates pedestrian and vehicle crossing behaviors at signalized intersections. Through the simulation, we investigate the effects of different pedestrian signal timing and crosswalk widths on the crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts. The simulation results indicate that the cellular automata is an effective simulation platform for investigating complex pedestrian-related traffic phenomenon at signalized intersections.
Mathematics Subject Classification ID: 90B20
Mathematics Subject Classification ID: 68Q80
zbMATH DE Number: 6116493
zbMATH Keywords: cellular automata
zbMATH Keywords: pedestrian flows
Wikidata QID: Q58700452
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/287502
OpenAlex ID: W2145480246
cites work: Simulation of pedestrian dynamics using a two-dimensional cellular automaton
cites work: Crack pattern simultion based on 3D surface cellular automata
description: scientific article; zbMATH DE number 6116493