The focus of this study is on optimizing the schedule adjustment scheme of shared designated driver ferry vehicles to obtain a sustainable and energy-efficient system to pick up and drop off designated drivers to serve drunk customers. A two-stage matching model for driver and customer supply and demand matching and driver ferry vehicle dispatching is designed in order to optimize the total distance travelled and minimize the generalized deviation costs. A maximum residual time adjustment algorithm is designed to reduce the logarithm of new interference demand, and a tabu search algorithm is used to solve the schedule adjustment scheme for ferry vehicles. The validity of the model and the algorithm is verified by a multiperiod example constructed in the Solomon test question bank. The result of numerical experiments shows that the proposed model and algorithm can solve the disruption adjustment scheduling strategy of shared designated driver ferry vehicles. The integrated optimization strategy can effectively improve the utilization rate and the operation efficiency of the shared driver ferry vehicles to reduce operation cost and energy consumption.

中文翻译：

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可持续共享指定司机渡轮车辆调度综合优化策略

本研究的重点是优化共享指定司机渡轮车辆的时间表调整方案，以获得可持续和节能的接送指定司机服务醉酒客户的系统。为了优化总行驶距离，最小化广义偏差成本，设计了司机与客户供需匹配和司机摆渡车辆调度的两阶段匹配模型。设计最大剩余时间调整算法以减小新干扰需求的对数，并采用禁忌搜索算法求解轮渡车辆调度调整方案。通过所罗门题库中构建的多周期算例验证了模型和算法的有效性。数值实验结果表明，所提出的模型和算法可以解决共享指定司机渡轮车辆的中断调整调度策略。综合优化策略可有效提高共享司机渡轮车辆的利用率和运营效率，降低运营成本和能耗。