交通电气化与能源转型推动高速公路交通、电力与氢能网络加速耦合，极端扰动下易引发跨网级联失效，亟需加强系统韧性。为提升多网络协同保障能力，构建了高速公路交通网、电力能源网与氢能源网的多层耦合网络模型，提出改进的加权介数指标，以统一度量异质节点与线路的物理负载关键性；并以最小化系统加权介数期望损失为目标，建立双层规划模型：上层联合优化备选线路建设、电转氢装置布局与移动储氢车配置；下层优化关键设施的物理防护等级。模型采用遗传算法嵌套混合整数线性规划求解，并引入近似最短路径算法提升计算效率。通过设置无韧性提升措施（场景1）、随机韧性提升措施（场景2）和本文提出的最优韧性提升措施（场景3）3种场景进行对比，结果表明：最优方案使系统总期望损失降低67.4%，网络连通性显著提升，能源传输效率衰减与负荷损失率均明显下降。研究显示，结构冗余、跨网能量转换与移动保障存在协同增益，可有效提升高速公路综合能源系统韧性。

Transportation electrification and energy transition are accelerating the coupling of expressway transportation, power, and hydrogen networks. Under extreme disturbances, this coupling may trigger cross-network cascading failures, making resilience enhancement an urgent priority. To enhance multi-network collaborative support capability, this paper constructs a multi-layer coupled network model integrating the expressway transportation network, power network, and hydrogen energy network. An improved weighted betweenness metric is proposed to uniformly measure the criticality of heterogeneous nodes and lines in terms of physical loads across. A bi-level programming model is established with the objective of minimizing the expected loss of the system′s weighted betweenness. The upper layer jointly optimizes the construction of alternative lines, the layout of power-to-hydrogen(P2H) conversion facilities, and the deployment of mobile hydrogen storage vehicles. The lower layer optimizes the physical protection levels of critical facilities. A genetic algorithm nested within a mixed-integer linear programming solver is used to solve the model, and an approximate shortest path algorithm is introduced to improve computational efficiency. By comparing three scenarios, namely no resilience enhancement measures (Scenario 1), random resilience enhancement measures (Scenario 2), and the optimal resilience enhancement measures proposed in this paper (Scenario 3), the case study results show that the optimal solution reduces the system′s total expected loss by 67.4%, significantly enhances network connectivity, and markedly decreases the degradation of energy transmission efficiency and load loss rates. The study reveals synergies among structural redundancy, cross-network energy conversion, and mobile safeguards, which can effectively enhance the resilience of expressway integrated energy systems.