Optimization and evaluation of traffic based on network models

This paper constructs a network model optimization function and corresponding indicators, and based on network model analysis, proposes targeted optimization recommendations. The aim is to meet the transportation needs of different stakeholders and analyze the impact of bridge collapses on different stakeholders. A network model optimization function and corresponding indicators are constructed, and the impact of bridge collapses on different stakeholders is analyzed. The study employs the Voronoi polygon method to delineate transportation analysis zones, combines ArcGIS tools for spatial analysis and visualization, and quantifies transportation accessibility metrics (such as the average area of transportation analysis zones, the number of transportation analysis zones per square kilometer, and accessibility indices) to provide scientific basis for identifying weak links in the transportation network. A topology-based traffic flow network model further analyzed the connectivity between nodes and edges, and combined with traffic flow data (such as AADT, AAWDT) to optimize network weights, providing precise support for traffic planning.