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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

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A dynamic traffic signal scheduling system based on improved greedy algorithm.

Guangling Sun^1,2, Rui Qi¹, Yulong Liu¹

¹School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, China.

|March 15, 2024

Summary

This summary is machine-generated.

This study introduces a dynamic traffic signal system using an improved greedy algorithm to reduce urban traffic congestion. The system ensures fair scheduling and prioritizes emergency vehicles, improving traffic flow.

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Area of Science:

Intelligent Transportation Systems
Computer Science

Background:

Urbanization intensifies traffic congestion, hindering urban development.
Traditional traffic signal systems are inefficient, causing delays and worsening traffic.
Existing methods lack fairness and fail to prioritize emergency vehicles effectively.

Purpose of the Study:

To develop a dynamic traffic signal scheduling system using an improved greedy algorithm.
To ensure fair scheduling plans through reward and cost functions.
To integrate an emergency module for prioritizing emergency vehicles.

Main Methods:

Implemented an improved greedy algorithm for dynamic traffic signal scheduling.
Introduced reward, cost, and constraint functions for fair and efficient decision-making.
Utilized Simulation of Urban Mobility (SUMO) and Traci for simulation experiments.

Main Results:

The proposed system significantly improves intersection throughput.
Demonstrated adaptability to diverse traffic conditions.
Effectively reduced urban traffic congestion while maintaining scheduling fairness.

Conclusions:

The dynamic traffic signal scheduling system offers an effective solution to urban traffic congestion.
The integration of fairness and emergency prioritization enhances overall traffic management.
Simulation results validate the system's efficiency and adaptability.