A study of mixed-traffic lane change decision for connected and autonomous vehicles considering driving styles

Key Points

• Lane change decisions significantly vary based on driving styles and vehicle connectivity features, improving traffic flow.
• Key metrics indicate that connected vehicles and autonomous systems can adapt to mixed-traffic conditions effectively.
• Observational analysis of decision-making processes in mixed-traffic environments provides insights on safety improvements.
• Results emphasize the need for further validation in real-world settings to enhance decision-making strategies.