Content area
Traffic jams have recently become an alarming issue for individuals all over the world. Especially in urban regions that are increasing in population means many cars. This also affects the economies and social progress around the world. Traffic jams happen when the speed of the vehicles on the streets decrease due to interactions between the vehicles. This paper is intended to present a MATLAB-based simulation approach for dynamic flow optimization to reduce congestion in urban centers. The objective of this optimization is to alleviate the congestion, reduce accidents, and emission of environmental pollutants due to long queues.
Details
Identifier / keyword
Title
Dynamic Traffic Flow Optimization in Urban Networks: A MATLAB-Based Simulation Approach for Reducing Congestion
Volume
3142
Issue
1
First page
012018
Number of pages
19
Publication year
2025
Publication date
Nov 2025
Place of publication
Bristol
Country of publication
United Kingdom
Publication subject
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3273012717
Document URL
https://www.proquest.com/scholarly-journals/dynamic-traffic-flow-optimization-urban-networks/docview/3273012717/se-2?accountid=208611
Copyright
Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-19
Database
ProQuest One Academic