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A QUANTITATIVE AND SYSTEMATIC METHODOLOGY TO INVESTIGATE ENERGY CONSUMPTION IN MULTIMODAL TRANSPORTATION SYSTEMS

机译:研究多式联运系统中能源消耗的定量和系统方法

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Energy issues in transportation systems have garnered increasing attention in recent years in both thepublic and private sectors. This study proposes a systematic methodology for policy-makers to improveenergy consumption efficiency in multimodal intercity transportation systems considering suppliers’operational constraints and travelers’ mobility requirements. A bi-level optimization model is developedfor this purpose and considers the air, rail, private auto, and transit modes. The upper level model is amixed integer nonlinear program that aims to minimize energy consumption subject to transportationsuppliers’ operational constraints and the traffic demand distribution to paths resulting from the lowerlevel model. The lower level model is a linear program that seeks to maximize the intercity trip utilities oftravelers. The interactions between the multimodal transportation suppliers and intercity traffic demandare considered under the goal of minimizing energy consumption at the system level. The proposed bilevelmixed integer nonlinear model is relaxed and transformed into a mathematical program withcomplimentarity constraints, and solved using a customized branch-and-bound algorithm. Numericalexperiments, conducted using multimodal travel options between Lafayette, Indiana and Washington, D.C.reiterate that shifting traffic demand from private cars to the transit and rail modes can significantlyreduce energy consumption. More importantly, the proposed methodology is able to provide quantitativeanalyses for system energy consumption and traffic demand distribution among transportation modesunder specific policy instruments. The results also illustrate the need to systematically incorporate theinteractions between traveler preferences, network structure, and supplier operational schemes to providepolicy-makers insights for developing traffic demand shift mechanisms to minimize system energyconsumption. Hence, the proposed methodology can provide policy-makers the ability to analyze energyconsumption in the transportation sector under different policy instruments.
机译:近年来,交通运输系统中的能源问题已引起越来越多的关注。 公共和私营部门。这项研究为决策者提出了一种改进的系统方法 考虑供应商的多式联运城市间交通系统的能源效率 运营限制和旅行者的出行需求。建立了双层优化模型 为此目的,并考虑了空中,铁路,私家车和公交方式。上层模型是 混合整数非线性程序,旨在最大程度地减少运输中的能耗 供应商的运营限制以及交通需求向低端路径的分配 级别模型。下层模型是一个线性程序,旨在最大程度地提高 旅行者。多式联运供应商与城市间交通需求之间的相互作用 考虑将系统级别的能耗降至最低。拟议的双层 混合整数非线性模型被放宽并转化为一个数学程序 互补约束,并使用定制的分支定界算法进行求解。数值型 实验是在印第安纳州拉斐特和华盛顿特区之间使用多式联运旅行方式进行的。 重申将交通需求从私家车转移到公交和铁路模式可以显着 减少能源消耗。更重要的是,所提出的方法能够提供定量的 运输方式之间系统能耗和交通需求分配的分析 根据特定的政策工具。结果还表明,有必要系统地整合 旅行者偏好,网络结构和供应商运营方案之间的相互作用,以提供 政策制定者对开发交通需求转移机制以最小化系统能耗的见解 消耗。因此,所提出的方法可以为决策者提供分析能源的能力 不同政策手段下运输部门的消费。

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