Model-based predictive control for bicycling in urban intersections

In this paper, a model predictive control approach for improving the efficiency of bicycling as part of intermodal transportation systems is proposed. Considering a dedicated bicycle lanes infrastructure, the focus in this paper is to optimize the dynamic interaction between bicycles and vehicles at the multimodal urban traffic intersections. In the proposed approach, a dynamic model for the flows, queues, and number of both vehicles and bicycles is explicitly incorporated in the controller. For obtaining a good trade-off between the total time spent by the cyclists and by the drivers, a Pareto analysis is proposed to adjust the objective function of the MPC controller. Simulation results for a two-intersections urban traffic network are presented and the controller is analyzed considering different methods of including in the MPC controller the inflow demands of both vehicles and bicycles.     

A mathematical programming technique for matching time-stamped records in logistics and transportation systems

Time-stamped data for transportation and logistics are essential for estimating times on transportation legs and times between successive stages in logistic processes. Often these data are subject to recording errors and omissions. Matches must then be inferred from the time stamps alone because identifying keys are unavailable, suppressed to preserve confidentiality, or ambiguous because of missing observations. We present an integer programming (IP) model developed for matching successive events in such situations and illustrate its application in three problem settings involving (a) airline operations at an airport, (b) taxi service between an airport and a train station, and (c) taxi services from an airport. With data from the third setting (where a matching key was available), we illustrate the robustness of estimates for median and mean times between events under different random rates for “failure to record”, different screening criteria for outliers, and different target times used in the IP objective. The IP model proves to be a tractable and informative tool for data matching and data cleaning, with a wide range of potential applications.     

船舶操纵模拟器中DIS/HLA网关原型的设计

通过详细分析网关的具体工作流程，提出了网关应具备的基本功能，并在此基础上对网关的模块进行了设计与实现。通过网关原型的设计实现，达到了快速将原有DIS船舶模拟器与HLA系统互连，为进一步实现大规模的分布航海仿真提供了基础。     

FSQ6125客车设计

简要介绍FSQ6125客车的设计目的、整车造型、主要结构特点和技术参数。     

鼓式制动器温升计算研究

在考虑道路条件和车辆运行状况的前提下,研究了汽车鼓式制动器的摩擦生热过程、辐射换热过程和对流换热过程,建立了其温升计算的数学模型。在相似理论和量纲分析理论的指导下,进行鼓式制动器对流换热试验,得出了鼓式制动器对流换热的求解公式。试验验证结果表明,采用所建模型计算得到的温升曲线与试验测得的曲线变化趋势基本相同,最大误差约为20%。     

无刷直流推进电动机动态性能的仿真

建立无刷直流推进电动机的动态仿真数学模型,利用系统矩阵的特征值和特征向量,以及对称性边界条件确定初始状态,对起动等动态过程进行了仿真和分析。仿真结果对于船舶永磁同步推进系统的设计具有重要的指导意义。     

A topological route choice model for metro

This article presents a route choice model for public transit networks that incorporates variables related to network topology, complementing those found in traditional models based on service levels (travel time, cost, transfers, etc.) and users’ socioeconomic and demographic characteristics (income level, trip purpose, etc.). The topological variables represent concepts such as the directness of the chosen route and user knowledge of the network. For both of these factors, the necessary data is endogenous to the modelling process and can be quantified without the need for information-gathering beyond what is normally required for building route choice models. Other novel variables in the proposed formulation capture notions of user comfort such as vehicle occupancy rates and certain physical characteristics of network stations. We conclude that these new variables significantly improve the explanatory and predictive ability of existing route choice specifications.     

Error quantification of a high-resolution coupled hydrodynamic-ecosystem coastal-ocean model: Part 2. Chlorophyll-a, nutrients and SPM

Marine systems models are becoming increasingly complex and sophisticated, but far too little attention has been paid to model errors and the extent to which model outputs actually relate to ecosystem processes. Here we describe the application of summary error statistics to a complex 3D model (POLCOMS-ERSEM) run for the period 1988–1989 in the southern North Sea utilising information from the North Sea Project, which collected a wealth of observational data. We demonstrate that to understand model data misfit and the mechanisms creating errors, we need to use a hierarchy of techniques, including simple correlations, model bias, model efficiency, binary discriminator analysis and the distribution of model errors to assess model errors spatially and temporally. We also demonstrate that a linear cost function is an inappropriate measure of misfit. This analysis indicates that the model has some skill for all variables analysed. A summary plot of model performance indicates that model performance deteriorates as we move through the ecosystem from the physics, to the nutrients and plankton.     

有交通条件约束与软时间窗约束的配送配载模型算法研究

由于配送中客户的时间窗限制和车辆在运行过程中的交通条件约束，给配送中心的运营调度工作增加了新的难题，为此建立了在该约束条件下的车辆配送配载模型。通过在路径选择时考虑交通条件约束、在建立目标函数时以阈值的形式引入时间窗约束，对原始模型进行了拓展，并构造了该问题的遗传算法。     

沥青BBR小梁试验的流变分析

以粘弹性理论为基础，采用Burgers模型表征沥青的本构关系，推导沥青材料在BBR小梁弯曲试验的蠕变规律，并利用DPS统计软件进行非线型回归，求解沥青粘弹性参数，并分析BBR试验SHRP评价方法的本质．通过Shell70#沥青BBR小梁试验流变特性的实例分析及将粘弹性参数用于预测相同温度下直接拉伸试验的应力变化特性，认为利用Burgers粘弹性本构模型表征沥青材料特性的物理意义明确，可用于评价材料的使用性能．