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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Research on highway traffic flow prediction model and decision-making method.

Yuyu Zhu1, QingE Wu2, Na Xiao1

  • 1Faculty of Engineering, Huanghe University of Science and Technology, Zhengzhou, 450000, China.

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|November 19, 2022
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Summary

This study introduces an intelligent traffic optimization system using a predictive model to analyze traffic conditions. The system improves traffic flow and reduces congestion through accurate predictions and coordinated intersection management.

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Area of Science:

  • Intelligent Transportation Systems
  • Traffic Engineering
  • Data Science

Background:

  • Traffic congestion is a significant urban challenge.
  • Accurate traffic prediction is crucial for effective traffic management.
  • Existing methods often lack precision and speed.

Purpose of the Study:

  • To develop an intelligent traffic optimization decision system.
  • To establish an iterative traffic prediction model for real-time analysis.
  • To propose coordinated optimization methods for traffic flow.

Main Methods:

  • Developing an iterative traffic prediction model to calculate traffic volume, density, and speed.
  • Estimating road section congestion degree based on the prediction model.
  • Implementing intelligent decision-making and coordinated optimization strategies.
  • Conducting experimental validation on a three-intersection road network.

Main Results:

  • Achieved superior prediction accuracy for traffic density and speed.
  • Demonstrated shorter prediction times and enhanced anti-interference capabilities.
  • Validated effective vehicle diversion and improved traffic flow.
  • Successfully relieved traffic pressure and balanced intersection cooperation.

Conclusions:

  • The developed traffic optimization system significantly improves traffic management.
  • The iterative prediction model offers higher accuracy and efficiency compared to existing methods.
  • The system effectively alleviates traffic congestion and optimizes intersection coordination.