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Scheduling and shortest path for trucks with working hours and parking availability constraints

机译:与工作时间和停车可用性约束的卡车的调度和最短路径

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The US Hours-of-Service (HOS) regulations require truck drivers to take regular breaks. However, drivers often have difficulty finding appropriate rest locations due to truck parking shortages. This may have a significant impact on drivers' safety and productivity, cost to industry and environment. In this paper, we propose a model that takes into account parking availability when planning long-haul truck shipments in addition to HOS constraints. Given an ordered set of clients, the proposed method plans a minimum cost route and schedule such that the itinerary is regulation-compliant, and the driver is guaranteed to find parking at all scheduled stops. The problem is modeled as a shortest path problem with resource constraints, and a label correcting algorithm is used to generate optimal solutions. Computational experiments are used to compare the cost of solutions that use parking availability information with ones that do not. The cost of disregarding parking information was estimated by simulating drivers' behavior when parking is unavailable and applying time and cost penalties. The effect of parking availability and alternative routes on trip costs is also studied, aiming to illustrate that disregarding these factors can lead to significant errors in cost estimates. Results show that, although imposing parking constraints can significantly increase costs, preventing accident-related costs can make it advantageous in the long-term. (c) 2021 Elsevier Ltd. All rights reserved.In 2015, a survey by the Federal Highway Administration identified truck parking shortages in 36 US states, with more pronounced issues along major trade corridors ( U.S. Department of Transportation, 2015 ). The lack of truck parking can have significant impact on road safety, industry costs, and the environment ( Rodier et al., 2010; Sochor and Mbiydzenyuy, 2013 ), and ranked among the trucking industry's top concerns in recent surveys by the American Transportation Research Institute (ATRI) ( American Transportation Research Institute, 2019 ). Due to the Hours-of-Service (HOS) regulations, truck drivers are required to take regular breaks. These rules aim to
机译:美国的服务时间(HOS)法规要求卡车司机定期休息。然而,由于卡车停车短缺,司机常难以找到适当的休息位置。这可能对司机的安全和生产力,工业和环境的成本产生重大影响。在本文中,我们提出了一种模型,该模型在规划长途卡车出货量外,还考虑了停车可用性,除了HOS限制之外。鉴于一组有序的客户端,所提出的方法计划最小的成本路线和时间表,以使行程是符合规范的,并且驾驶员保证在所有计划的停车处找到停车位。问题被建模为具有资源约束的最短路径问题,标签校正算法用于生成最佳解决方案。计算实验用于比较使用与之没有的停车可用信息的解决方案的成本。通过模拟停车时间不可用并施加时间和成本惩罚时,通过模拟驱动程序的行为估算停车信息的成本。还研究了停车可用性和替代路线对旅行成本的影响,旨在说明无视这些因素可能导致成本估算中的重大错误。结果表明,虽然施加停车限制可能会显着提高成本,但防止与事故相关的成本可以在长期内使其有利。 (c)2021年elestvier有限公司保留所有权利。2015年,联邦公路管理局的一项调查确定了36个美国国家的卡车停车短缺,沿着主要贸易走廊举行更加明显的问题(美国交通部,2015年)。缺乏卡车停车可能对道路安全,行业成本和环境产生重大影响(Rodier等,2010; Sochor和Mbiydzenyuy,2013年),并在美国运输研究中排名在近期调查中的最新问题研究所(ATRI)(2019年美国交通研究所)。由于服务时间(HOS)规定,卡车司机需要定期休息。这些规则旨在

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