Time-Dependent Queuing Model for Traffic Congestion Using Mt/D/1/K: Simulation and Policy Insights

Fuente: arXiv
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Main Author: Raj, Jyoutir
Format: Preprint
Published: 2025
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author Raj, Jyoutir
author_facet Raj, Jyoutir
contents This study proposes a generalised macroscopic traffic simulation using a Mt/D/1/K queue to model congestion, using the Enniskillen to Belfast route as a case study. Empirical traffic data from Google's Directions API is used to calibrate the model, thus explaining peak commute times which we model using queue length. Simulations of staggered institutional start times showed significant reductions in queue lengths, suggesting time based interventions to improve rural to urban traffic flow.
format Preprint
id arxiv_https___arxiv_org_abs_2501_14132
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Time-Dependent Queuing Model for Traffic Congestion Using Mt/D/1/K: Simulation and Policy Insights
Raj, Jyoutir
Physics and Society
This study proposes a generalised macroscopic traffic simulation using a Mt/D/1/K queue to model congestion, using the Enniskillen to Belfast route as a case study. Empirical traffic data from Google's Directions API is used to calibrate the model, thus explaining peak commute times which we model using queue length. Simulations of staggered institutional start times showed significant reductions in queue lengths, suggesting time based interventions to improve rural to urban traffic flow.
title Time-Dependent Queuing Model for Traffic Congestion Using Mt/D/1/K: Simulation and Policy Insights
topic Physics and Society
url https://arxiv.org/abs/2501.14132