Connected automated vehicles (CAVs), a product combining the automobile industry and emerging technologies, have developed rapidly worldwide in recent years. Compared to human-driven vehicles (HDVs), CAVs can not only provide more traffic flow information but also be controlled and optimized. Therefore, the application of CAVs can significantly improve the efficiency of the transportation system.

Before the middle of the 21st century, the number of CAVs will exceed 70% of the global car ownership based on the latest research of the Institute of Electronics Engineers (IEEE). This means that there will be mixed traffic flow on the road of HDVs and CAVs. The emergence of CAVs makes it possible to control traffic flow from the micro-level, which also provides new opportunities for mixed traffic flow management and control. Therefore, it will be of great theoretical significance and practical value to study the manage and control methods of mixed traffic flow with connected automated vehicles and human-driven vehicles.

The aim of this Special Issue is to bring together original research and review articles highlighting any aspect of management and control methods of mixed traffic flow with connected automated vehicles and human-driven vehicles.

Potential topics include but are not limited to the following:

• Stability of mixed traffic flow with CAVs
• Analysis of the characteristics of mixed traffic flow with CAVs
• Simulation of mixed traffic flow with CAVs
• Traffic models of mixed traffic flow with CAVs
• Macroscopic fundamental diagram of mixed traffic flow with CAVs
• Fuel consumption and emissions of mixed traffic flow with CAVs
• Traffic signal timing in a mixed traffic flow environment
• Car following models of CAVs
• Lane changing models of CAVs
• Trajectory optimization and control of CAVs
• Modeling of the mixed platoon with CAVs and HDVs