Applications of Chromatic Numbers in Traffic Control Problems

The primary objective of this work is to illustrate the application of chromatic numbers in traffic control problems. It is simple to depict most traffic lanes as graphs with points (vertices) and lines (edges). In order to determine the minimum number of phases needed for the traffic light to allow all cars to pass through the intersection during a specific phase of the light and those in lanes where the light is green to pass through the intersection safely, this article uses three examples of traffic lanes to demonstrate how chromatic number can be applied effectively to traffic management problems.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-09-02
DOI
https://doi.org/10.52783/cana.v31.1479
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications of Chromatic Numbers in Traffic Control Problems

Shakera Tanveer
Communications on Applied Nonlinear Analysis
Computational Geometry and Mesh Generation
article

Applications of Chromatic Numbers in Traffic Control Problems

Shakera Tanveer
article en

Abstract

The primary objective of this work is to illustrate the application of chromatic numbers in traffic control problems. It is simple to depict most traffic lanes as graphs with points (vertices) and lines (edges). In order to determine the minimum number of phases needed for the traffic light to allow all cars to pass through the intersection during a specific phase of the light and those in lanes where the light is green to pass through the intersection safely, this article uses three examples of traffic lanes to demonstrate how chromatic number can be applied effectively to traffic management problems.

Communications on Applied Nonlinear AnalysisVol. 31(8s)
Openalex Percentile: Top 71%
Computational Geometry and Mesh Generation
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Applications of Chromatic Numbers in Traffic Control Problems — Shakera Tanveer · Communications on Applied Nonlinear Analysis (2024) | TGRS Research Map | TGRS