最优出发时间选择作为旅行时间分布的分位数和期望

IF 2.7 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Maria Osipenko
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引用次数: 0

摘要

我们考虑了两种最优出发时间选择的偏好规范:早期和晚期延迟的经典非对称线性损失,以及基于非对称二次损失的新规范。我们证明了所得到的最优选择对应于旅行时间分布的尾部指标——非对称线性规范的分位数和非对称二次规范的期望。此外,我们建立了由这两个效用规范引起的选择之间的对应关系,表明非对称二次偏好类是具有良好性能的有效选择,并通过实例和应用证明了这一点。对于这两种效用规范,我们推导了旅行时可靠性比,并使用τ-偏差和τ-方差的概念提出了一种简单的计算方法。此外,我们使用出发时间选择数据对两种规格进行了测试,发现二次损失规格更准确地代表了实际的出发时间选择。最后,利用蒙特利尔市两条备选路线的出行时间数据,拟合了混合伽马分布,并比较了不同效用规范下最优出发时间选择和出行时间可靠性比曲线的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal departure time choices as quantiles and expectiles of the travel time distribution
We consider two alternative preference specifications for optimal departure time choices: the classical asymmetric linear loss for early and late delays, and a new specification based on asymmetric quadratic loss. We demonstrate that the resulting optimal choices correspond to the tail indices of the travel time distribution—quantiles for the asymmetric linear specification and expectiles for the asymmetric quadratic specification. Additionally, we establish a correspondence between the choices induced by these two utility specifications, showing that the asymmetric quadratic preference class is a valid alternative with favorable properties, as demonstrated through examples and applications. For both utility specifications, we derive travel time reliability ratios and present a straightforward computation method using the concepts of τ-deviation and τ-variance. Moreover, we test both specifications using departure time choice data, finding that the quadratic loss specification more accurately represents actual departure time choices. Finally, using Montreal travel time data for two alternative routes, we fit a mixture of gamma distributions and compare the behavior of the optimal departure time choices and travel time reliability ratio curves induced by the different utility specifications.
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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
24
审稿时长
129 days
期刊介绍: The EURO Journal on Transportation and Logistics promotes the use of mathematics in general, and operations research in particular, in the context of transportation and logistics. It is a forum for the presentation of original mathematical models, methodologies and computational results, focussing on advanced applications in transportation and logistics. The journal publishes two types of document: (i) research articles and (ii) tutorials. A research article presents original methodological contributions to the field (e.g. new mathematical models, new algorithms, new simulation techniques). A tutorial provides an introduction to an advanced topic, designed to ease the use of the relevant methodology by researchers and practitioners.
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