Analyzing Traffic Problem Model With Graph Theory Algorithms

TL;DR

This paper explores the application of graph theory algorithms to analyze and optimize urban traffic problems, aiming to simplify complex systems and improve decision-making strategies.

Contribution

It introduces a combinatorial and graph-theoretic approach to model and solve dynamic urban traffic decision problems, enhancing existing methods.

Findings

Effective modeling of traffic systems using graph algorithms

Optimization strategies for traffic flow management

Simplification of complex traffic decision problems

Abstract

This paper will contribute to a practical problem, Urban Traffic. We will investigate those features, try to simplify the complexity and formulize this dynamic system. These contents mainly contain how to analyze a decision problem with combinatorial method and graph theory algorithms; how to optimize our strategy to gain a feasible solution through employing other principles of Computer Science.