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Dynamical model of a cooperative driving system for freeway traffic
Katsuya Hasebe1, Akihiro Nakayama, Yūki Sugiyama
1Faculty of Business Administration, Aichi University, Miyoshi, Aichi 470-0296, Japan. hasebe@vega.aichi-u.ac.jp
Summary
We introduce an advanced optimal velocity model for cooperative driving systems. This model enhances vehicle control using data from surrounding vehicles, improving traffic flow stability and disturbance response.
Area of Science:
- Control Engineering
- Transportation Systems
- Traffic Flow Theory
Background:
- Cooperative driving systems are emerging technologies for enhancing road safety and efficiency.
- Existing optimal velocity models need enhancement to accommodate the complexities of cooperative driving.
Purpose of the Study:
- To propose an extended optimal velocity model for cooperative driving control systems.
- To analyze the stability of uniform traffic flow under the proposed model.
- To evaluate the system's response to external disturbances.
Main Methods:
- Development of an extended optimal velocity model incorporating information from multiple preceding and following vehicles.
- Linear approximation analysis to investigate the stability of uniform traffic flow.
- Simulation-based evaluation of the model's response to disturbances.
Main Results:
- The extended optimal velocity model demonstrates applicability to cooperative driving control.
- Analysis confirms the stability of uniform flow under the proposed model.
- The system shows a predictable response to disturbances, indicating robust control.
Conclusions:
- The proposed extended optimal velocity model is a viable foundation for future cooperative driving systems.
- The model's stability and responsiveness are validated through linear approximation.
- Further research can explore non-linear dynamics and more complex traffic scenarios.