Dataset and Traffic Flow Simulation in Wide Road Network to Evaluate Bridges in Flooding Events Registered in the Alessandria Region

This dataset supports a study, which proposes a scalable methodology to evaluate the vulnerability of road networks to flood-induced disruptions. The methodology combines publicly available geospatial data, flood hazard maps, and macroscopic traffic simulation using SUMO (Simulation of Urban Mobility) to assess the network-wide impact of bridge closures. The case study focuses on the Alessandria province in Northern Italy, a flood-prone region intersected by major motorways and rivers. Highlights: A method to evaluate and rank bridges using traffic simulation is proposed. Macroscopic traffic assignment tools simulate flood impacts on road network. Static flood scenarios are simulated to identify bridge closures on motorways. Iterative simulations rank bridges based on travel time and demand indicators. Results show critical bridges to protect for maintaining reliable accessibility.