Impact of Cooperative Adaptive Cruise Control on Traffic Stability

Cooperative adaptive cruise control (CACC) is one of the popular connected and automated vehicle (CAV) applications for cooperative driving automation with combined connectivity and automation technologies to improve string stability. This study aimed to derive the string stability conditions of a CACC controller and analyze the impacts of CACC on string stability for both a fleet of homogeneous CAVs and for heterogeneous traffic with human-driven vehicles (HDVs), connected vehicles (CVs) with connectivity technologies only, and autonomous vehicles (AVs) with automation technologies only. We mathematically analyzed the impact of CACC on string stability for both homogeneous and heterogeneous traffic flow. We adopted parameters from literature for HDVs, CVs, and AVs for the heterogeneous traffic case. We found there was a minimum constant time headway required for each parameter design to ensure stability in homogeneous CACC traffic. In addition, the constant time headway and the length of control time interval had positive correlation with stability, but the control parameter had a negative correlation with stability. The numerical analysis also showed that CACC vehicles could maintain string stability better than CVs and AVs under low HDV market penetration rates for the mixed traffic case.

Automated summary

This study analyzed the impacts of cooperative adaptive cruise control (CACC) on string stability. The results showed that a minimum constant time headway is required for stability in homogeneous traffic flow. Additionally, the length of the constant time headway and control time interval were positively correlated with stability, while the control parameter had a negative correlation. For heterogeneous traffic flow, CACC vehicles maintained string stability better than connected vehicles (CVs) and autonomous vehicles (AVs).