Resilience Enhancement of Urban Roadway Network During Disruption via Perimeter Control

Frequent happened extreme weather events (EWEs) cause severe disruptions to the operation of large-scale urban road network. Perimeter control is of high application potential in the target scenarios. However, few studies are concerned about the lacking knowledge of the system's response features under EWE. In this work, we proposed a network resilience curve (NRC)-based perimeter control strategy to facilitate the network equilibrium, therefore enhancing the network resilience. The proposed NRC is an extension of the classical macroscopic fundamental diagram (MFD) under disruptions. A real-world trajectory dataset under normal and rainstorm day has been analyzed comparatively by using the present NRC, in which average velocity immediately reduces while average flow reveals the hysteresis effect. We compared the strategies of fixed plan, NRC-based proportional-integral (PI) control without or with connected vehicles, and min-max model predictive control. Case studies show that the proposed NRC-based PI controller improves the average weighted speed by 11.03% over fixed time strategy and recovered 7.14% ahead of the other strategies. Results demonstrate the feasibility and stability of the proposed strategy, which contributes to exploit the reasonable regulatory mechanism of EWE type disruptions.