基于动态脆弱性地图的路网交通利用风险评估
A Dynamic Vulnerability Map to Assess the Risk of Road Network Traffic Utilization
摘要：
勒阿弗尔集聚区包括16个被列为塞维索的高门槛企业。在文献中，我们构建脆弱性地图，以帮助决策者评估风险。这种方法仍然是静态的，在估计脆弱性时确实考虑到人口流离失所。我们提出了一个基于动态脆弱性地图的决策工具，以评估CODAH不同部门的疏散难度。我们使用地理信息系统（GIS）可视化地图，通过大图中的社区检测算法，随着道路交通状态的演变。
英文摘要：
Le Havre agglomeration (CODAH) includes 16 establishments classified Seveso with high threshold. In the literature, we construct vulnerability maps to help decision makers assess the risk. Such approaches remain static and do take into account the population displacement in the estimation of the vulnerability. We propose a decision making tool based on a dynamic vulnerability map to evaluate the difficulty of evacuation in the different sectors of CODAH. We use a Geographic Information system (GIS) to visualize the map which evolves with the road traffic state through a detection of communities in large graphs algorithm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
