Multi-Lane Congestion Control Model for Intelligent Connected Vehicles Integrating Optimal Traffic Flow Difference Information in V2X Environment

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This model improves traffic flow in intelligent connected vehicles, indicating how lane changes impact congestion.

The improved model enhances traffic flow stability, suppressing congestion more effectively than traditional approaches.
Key findings include expanded stable regions allied to optimal traffic flow differences, improving performance metrics.
The study applies a multi-lane congestion control framework within the V2X environment, utilizing real-time traffic data.
Improved strategies highlight the relationship between lane numbers and congestion alleviation, useful for management decisions.

Zhou et al. (2025) studied this question.

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