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Updated: Jun 5, 2025

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
Published on: April 23, 2018
Bifurcation analysis and control of the full velocity difference model with delayed velocity difference
Wenhuan Ai1, Guoao Li2, Jianhua Zhang2
1College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, Gansu, China. wenhuan618@163.com.
This study introduces a new traffic flow model to understand and mitigate urban traffic congestion. It uses nonlinear bifurcation analysis to predict traffic phenomena and proposes a controller to manage system instabilities.
Area of Science:
- Traffic Engineering
- Nonlinear Dynamics
- Complex Systems Analysis
Background:
- Urbanization and increased vehicle numbers lead to significant traffic congestion.
- Understanding traffic flow dynamics is crucial for developing effective mitigation strategies.
- Existing models may not fully capture the complex, nonlinear behaviors of traffic systems.
Purpose of the Study:
- To propose a macroscopic traffic flow model incorporating delayed speed differences.
- To analyze nonlinear traffic phenomena using nonlinear bifurcation theory.
- To investigate methods for controlling traffic instabilities and improving flow.
Main Methods:
- Development of a macroscopic traffic flow model based on a delayed speed difference car-following model.
- Application of traveling wave transformation to convert the car-following model to a macroscopic model.
- Utilizing linear stability analysis to identify bifurcation points and analyze traffic system stability.
- Employing density-time and phase plane diagrams for visual representation of traffic dynamics.
- Designing a feedback controller to regulate Hopf bifurcations.
Main Results:
- The proposed model theoretically demonstrates the existence of bifurcation points in traffic flow.
- Visualizations confirm sudden changes in traffic flow as parameters cross bifurcation points.
- Identification of critical points where traffic system stability transitions occur.
- The study successfully explores qualitative characteristics of inhomogeneous continuous traffic flow.
Conclusions:
- The developed macroscopic traffic flow model effectively captures nonlinear traffic phenomena.
- Nonlinear bifurcation analysis provides valuable insights into traffic system stability and instability.
- The proposed feedback controller shows potential for delaying or eliminating undesirable Hopf bifurcations.
- This research contributes to a better understanding and management of urban traffic congestion.
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