为提升塞内加尔高速公路收费系统服务效率、降低收费成本，提出一种机动车电子标识与ETC（Electronic Toll Collection）系统融合应用的收费模式，并进行收费站车道配置优化。首先，基于用户均衡理论和排队论，构建考虑改建成本和运营效率的多目标优化模型，将收费站改建决策与用户车道选择行为纳入统一分析框架。然后，采用改进的非支配排序遗传算法（Non-dominated Sorting Genetic Algorithm Ⅱ, NSGA-Ⅱ）进行求解，引入矩阵实数编码和邻域搜索算子，以精准映射车道空间布局约束，并通过自适应交叉和变异策略增强算法的鲁棒性和解集的分布均匀性。最后，以塞内加尔TT高速主线收费站为例进行了实证分析。结果表明：在收费站进站方向增加1台电子标识识读设备并将1条ETC车道改建成MTC（Manual Toll Collection）车道，出站方向增加2台电子标识识读设备并将1条ETC车道改建成MTC车道，使得车辆通过收费站的平均通行时间减少了63.64 s，通行效率提升了72.05%，有效缓解了收费站进站方向拥堵问题，且改建成本较小。

This study aims to enhance the service efficiency of Senegal′s expressway toll collection system while reducing operational costs. To achieve this objective, the research proposes an integrated toll collection model that combines vehicle electronic identification with an Electronic Toll Collection (ETC) system, and optimizes the lane configuration at toll stations. First, the model is grounded in user equilibrium theory and queuing theory, representing a multi-objective optimization framework that considers renovation costs and operational efficiency. By integrating toll station renovation decisions with lane allocation behavior into a unified analytical framework, the study provides a comprehensive solution.Then, to solve the optimization problem, an enhanced non-dominance sorting genetic algorithm (NSGA-Ⅱ) is employed, incorporating matrix real number encoding and neighborhood search operators. These operators enable precise mapping of lane spatial layout constraints, while adaptive crossover and mutation strategies are adopted to improve the algorithm′s robustness and solution uniformity. Last, an empirical analysis is conducted using the mainline toll station on the TT Expressway in Senegal as a case study. The findings reveal that implementing specific measures, such as installing an electronic tag reader at the toll station entrance, converting ETC lanes to MTC lanes, and strategically placing additional electronic tag readers at the exit, significantly improves service efficiency. Specifically, the average travel time is reduced by 63.64 seconds, resulting in a 72.05% improvement in traffic efficiency. These interventions effectively mitigate congestion at the toll station entrance while reducing renovation costs.