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.