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首页> 外文期刊>International journal of operations and quantitative management >Combined Truck Routing and Driver Scheduling Problems under Hours of Service Regulations
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Combined Truck Routing and Driver Scheduling Problems under Hours of Service Regulations

机译：服务小时数规定下的卡车选路和驾驶员调度相结合的问题

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摘要

In an effort to promote safer driving environments, the Federal Motor Carrier Safety Administration (FMCSA) has attempted to implement new hours-of-service (HOS) regulations. The new HOS regulations, however, may lead to substantial cost increases for the trucking industry which has already struggled with rising fuel prices and declining shipping demands. In addition, the new HOS regulations complicate driver schedules by not only restricting the drivers consecutive driving hours, but also expanding off-duty hours. To cope with this daunting challenge, we propose a mixed-integer programming model and c simulated annealing (SA) meta-heuristic for solving the combined truck routing and driver scheduling problem under HOS regulations. A series of computational experiments verified the solution accuracy and computational efficiency of the SA meta-heuristic.
机译：为了促进更安全的驾驶环境，联邦汽车运输安全管理局（FMCSA）尝试实施新的服务小时（HOS）法规。然而，新的居者有其屋条例可能导致卡车运输业大幅增加成本，而卡车运输业已经为燃油价格上涨和运输需求下降而苦苦挣扎。另外，新的HOS法规不仅限制了司机连续的驾驶时间，而且延长了下班时间，使司机的行程变得复杂。为了应对这一艰巨的挑战，我们提出了一种混合整数规划模型和c模拟退火（SA）元启发式算法，以解决HOS规定下的卡车路线和驾驶员调度相结合的问题。一系列计算实验验证了SA元启发式算法的求解精度和计算效率。

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