Uncertain demand,modal competition and optimal price-capacity adjustments in air transportation

A new microeconomic model for the operation of an airline facing modal competition with uncertain total demand is developed to analyze optimal price capacity combinations. The novelty is the treatment of the capacity restriction, which is not viewed as affecting negatively individual preferences (e.g. probability of a full flight), but does influence aggregate utility. A mode choice model is used to represent unrestricted individual preferences assuming full availability (phone call demand); air capacity is treated as a variable that acts on the actual choice set. Restricted choices and total demand stochasticity are integrated in welfare calculations (users' benefits and profits). Numerical examples are given and results are analyzed in terms of load factors fare levels, and sensitivity to the stochasticity of requests.This research was partially funded by FONDECYT, Chile, Direction Génerale de l'Aviation Civile, France, the Andes Foundation and the Fulbright Commission.     

船模阻力数值水池试验不确定度评估

文章针对水面船模阻力数值水池试验,开展了不确定度分析与评估研究。不确定度分析中,验证方法和流程基于正交设计和方差分析方法,确认方法和流程基于统计推断理论。以水面船标模DTMB5415为对象,进行了船模阻力数值水池试验不确定度分析评估的实例计算,给出了对数值试验结果有重要影响的试验因素和交互作用以及各类不确定度分量的大小,并提出了降低船模阻力数值试验不确定度的建议。     

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通过对ITS 投资项目的费用效益分析的系统研究，提出了建立ITS 投资项目费用效益分析的框架和技术流程的具体步骤，阐述了评价指标的计算方法、方案的可行性评价和方案选优等内容，研究了费用和效益的划分和估计方法. 另外，本文提出了不确定性分析的概念和方法，并对敏感性分析和概率分析进行了重点研究. 结合IDAS 软件，通过示例论述了上述方法的技术实现.     

扭矩标准装置优化设计研究

文章介绍了通过优化设计研制成功的高准确度2kN·m扭矩标准装置的结构、特点和关键技术.该装置采用传统的静重平衡式结构,对力臂杠杆、刀口支承和砝码等进行了优化,并采用了自动加载、对中调整、对偶平衡以及PLC控制程序等技术,使该装置的校准可信度和准确度都有所提高.     

潜艇非稳态流场计算流体力学不确定度分析

依照ITTC推荐规程对美国DARPA潜艇模型SUBOFF光体在不考虑自由表面情况下的CFD计算进行不确定度分析。选取中间尺度的时间步长,验证中采用细、中、粗三套网格。在最精细的网格上进行不同时间步长的研究。最后对潜艇表面压力计算进行确认。     

公路网规划环境影响评价中的不确定性分析

公路网规划环境影响评价中的不确定主要来自公路网规划方案的不确定和环境信息的不确定。具有普遍性、传递性、累积性和可降低性,对决策者存在着较大的干扰,但是可以通过使用基于情景分析的预测方法、广泛开展公众参与以及通过多方协作的方式开展环境影响评价工作等方法来降低。     

Predicting queue variability to enable analysis of overload risk

ABSTRACT

Predicting the risk of traffic demands and delays exceeding critical limits at road junctions, airports, hospitals, etc., requires knowing how both mean and variance of queue size vary over time. Microscopic simulation can explore variability but is computationally demanding and gives only sample results. A computationally efficient approximation to the mean is used in many modelling tools, but only empirical extensions for variance in particular situations have been available. The paper derives theoretical formulae for time-dependent and equilibrium variance, believed to be novel and to apply generally to queues covered by the Pollaczek–Khinchin mean formula, and offering possible structural insights. These are applied in an extended approximation giving mutually consistent mean and variance estimates with improved accuracy. Tests on oversaturated peak demand cases are compared with Markov probabilistic simulation, demonstrating accuracy (R^2?>?0.99) for typical random, priority-like (M/M/1) and traffic-signal-like (M/D/1) queues. Implications for risk analysis, planning and policy are considered.     

A new schedule-based transit assignment model with travel strategies and supply uncertainties

This paper proposes a new scheduled-based transit assignment model. Unlike other schedule-based models in the literature, we consider supply uncertainties and assume that users adopt strategies to travel from their origins to their destinations. We present an analytical formulation to ensure that on-board passengers continuing to the next stop have priority and waiting passengers are loaded on a first-come-first-serve basis. We propose an analytical model that captures the stochastic nature of the transit schedules and in-vehicle travel times due to road conditions, incidents, or adverse weather. We adopt a mean variance approach that can consider the covariance of travel time between links in a space–time graph but still lead to a robust transit network loading procedure when optimal strategies are adopted. The proposed model is formulated as a user equilibrium problem and solved by an MSA-type algorithm. Numerical results are reported to show the effects of supply uncertainties on the travel strategies and departure times of passengers.     

The Impact of Travel Time Information on Travelers’ Learning under Uncertainty

In this work, laboratory experiment was conducted in order to evaluate the effect of feedback on decision-making under uncertainty, with and without provided information about travel times. We discuss the prediction of travelers’ response to uncertainty in two route–choice situations. In the first situation travelers are faced with a route–choice problem in which travel times are uncertain but some external information about routes’ travel times is provided. The second situation takes place in a more uncertain environment in which external information about travel times is not provided, and the travelers’ only source of information is their own experience. Experimental results are in conflict with the paradigm about traveler information systems: As a consequence of information, the propensity of travelers to minimize expected travel time is not necessarily increased. Providing travelers with static information about expected travel times reveals an increase in the heterogeneity of travelers’ choices and reduces the maximization rate.     

城市轨道交通站点客流不确定性研究

为提高城市轨道交通站点客流预测的可靠性,在分析客流不确定性影响因素的基础上,基于ARIMA-GARCH模型,依据南京地铁珠江路站点客流数据对客流不确定性进行建模和预测,并从预测置信区间和无效覆盖率两方面与传统的时间序列进行对比分析,研究结果表明,ARIMA-GARCH能够较好地拟合客流波动情况,为城市轨道交通运营与管理提供理论依据。