An integrated spatiotemporal optimisation for intersections with automated and human-driven vehicles

This is the authors' abstract. We don't add key points for this paper.

In mixed traffic flows, the coexistence of connected and automated vehicles (CAVs) and human-driven vehicles (HVs) poses new challenges in intersection traffic design and control. Although significant progress has been made in optimising CAV control and implementing AV-dedicated lanes, the issue of whether and how these dedicated lanes should be configured at intersections remains unresolved. To overcome this limitation, this paper proposes a joint optimisation control model that simultaneously addresses lane assignment and signal timing. The proposed model aims to maximise the traffic capacity at intersections by considering constraints such as lane assignment, lane saturation, and signal timing. The effectiveness of the proposed model is assessed through case studies and comprehensive numerical analyses. The results indicate that, compared to the traditional lane-based model and the shared-phase-dedicated-lane (SPDL) based model under different geometric and traffic demand conditions, the proposed model achieves average capacity increments of 12.43% and 10.43%, respectively.