Abstract: Urban floods can cause severe damage to vehicles, and disruption to transportation systems and people's life. Vulnerability analysis of urban traffic system and route selection and optimization under flooding circumstance require more public attention and academic research. An SWMM-based hydrodynamic model is introduced, integrated with the Dijkstra best-route algorithm, for assessing urban flood-prone areas and the related impacts on traffic system, as well as the selection of best traffic route in the flooding context. This method is capable of incorporating the SWMM flooding simulation results into urban transportation network model. Based on indications of overloaded manholes and pipes, our tool employs the Dijkstra algorithm to dynamically avoid the flooding paths. The method fully integrates flooding simulation capabilities and route analysis techniques and has several advances, including a powerful spatial analysis function and an efficient planning and query function. Our tool can be used as a support for flooding traffic alert and emergency system, and has important practical implications for urban traffic management.

Key words: urban flood, best-route, traffic routes, storm water management model(SWMM)