Safety Assessment of Mixed Traffic Flow on Port Access Roads Considering the Randomness of Human-Driven Vehicle Following

In controlled environments like ports, CAV platoons (CAVPs), leveraging cooperative control and communication technologies, have emerged as leading innovators in enhancing traffic safety. The probabilistic characteristics of human drivers are central to traffic flow dynamics.. Unfortunately, this randomness is often overlooked in existing studies examining mixed traffic scenarios in mixed traffic flow. To bridge the gap in modeling interactions between automated vehicle platoons (CAVPs), human-driven cars (HDCs), and trucks (HDTs), this paper introduces a complex mixed traffic model that captures their hierarchical dynamics. To address the limitations of deterministic driver models, this paper employs the Stochastic Intelligent Driver Model (SIDM) to characterize human-driven vehicle (HDV) following behavior with uncertainty. The results reveal that greater platoon length. Under high traffic flow conditions, the presence of CAVPs may adversely affect safety. Furthermore, longer CAVPs, while enhancing coordination, are more susceptible to stochastic disturbances.