多功能智能型航次计划优化系统设计与实现

介绍了一个多功能智能型航次计划优化系统的设计与实现，得到了一个能在微机网络上运行的有效原型。在设计中引入了人工智能技术，并特别注意了友好的人机界面。     

Integrated airline planning: Robust update of scheduling and fleet balancing under demand uncertainty

The airline schedule planning problem is defined as the sequence of decisions that need to be made to obtain a fully operational flight schedule. Historically, the airline scheduling problem has been sequentially solved. However, there have already been many attempts in order to obtain airline schedules in an integrated way. But due to tractability issues it is nowadays impossible to determine a fully operative and optimal schedule with an integrated model which accounts for all the key airline related aspects such as competitive effects, stochastic demand figures and uncertain operating conditions. Airlines usually develop base schedules, which are obtained much time in advance to the day of operations and not accounting for all the related uncertainty. This paper proposes a mathematical model in order to update base schedules in terms of timetable and fleet assignments while considering stochastic demand figures and uncertain operating conditions, and where robust itineraries are introduced in order to ameliorate miss-connected passengers. The proposed model leads to a large-scale problem which is difficult to be solved. Therefore, a novel improved and accelerated Benders decomposition approach is proposed. The analytical work is supported with case studies involving the Spanish legacy airline, IBERIA. The presented approach shows that the number of miss-connected passengers may be reduced when robust planning is applied.     

Within day rescheduling microsimulation combined with macrosimulated traffic

The concept of rescheduling is essential to activity-based modeling in order to calculate effects of both unexpected incidents and adaptation of individuals to traffic demand management measures. When collaboration between individuals is involved or timetable based public transportation modes are chosen, rescheduling becomes complex. This paper describes a new framework to investigate algorithms for rescheduling at a large scale. The framework allows to explicitly model the information flow between traffic information services and travelers. It combines macroscopic traffic assignment with microscopic simulation of agents adapting their schedules. Perception filtering is introduced to allow for traveler specific interpretation of perceived macroscopic data and for information going unnoticed; perception filters feed person specific short term predictions about the environment required for schedule adaptation. Individuals are assumed to maximize schedule utility. Initial agendas are created by the FEATHERS activity-based schedule generator for mutually independent individuals using an undisturbed loaded transportation network. The new framework allows both actor behavior and external phenomena to influence the transportation network state; individuals interpret the state changes via perception filtering and start adapting their schedules, again affecting the network via updated traffic demand. The first rescheduling mechanism that has been investigated uses marginal utility that monotonically decreases with activity duration and a monotonically converging relaxation algorithm to efficiently determine the new activity timing. The current framework implementation is aimed to support re-timing, re-location and activity re-sequencing; re-routing at the level of the individual however, requires microscopic travel simulation.     

Liner ship route schedule design with port time windows

This paper examines a practical tactical liner ship route schedule design problem, which is the determination of the arrival and departure time at each port of call on the ship route. When designing the schedule, the availability of each port in a week, i.e., port time window, is incorporated. As a result, the designed schedule can be applied in practice without or with only minimum revisions. This problem is formulated as a mixed-integer nonlinear nonconvex optimization model. In view of the problem structure, an efficient holistic solution approach is proposed to obtain global optimal solution. The proposed solution method is applied to a trans-Atlantic ship route. The results demonstrate that the port time windows, port handling efficiency, bunker price and unit inventory cost all affect the total cost of a ship route, the optimal number of ships to deploy, and the optimal schedule.     

浅议信息系统建设中的进度管理

介绍基于工作分解结构建立项目进度计划的一般方法,分析如何应用EVA(Earned Value Analysis)进行进度偏差测量,提出对进度监控中发现的不良偏差实施有效控制的具体方案。     

基于实时Linux计算机联锁系统实时性分析与改进

计算机联锁系统是保障列车在车站范围内安全、高效运行的实时控制系统,它必须具有非常高的安全性、可靠性.这首先应该解决实时性的问题,针对基于Linux下的计算机联锁系统的实时性进行分析,并结合计算机联锁系统的实时性模块给出分析,采用实时Linux系统进行设计与实现,并对改进后的系统与原系统进行测试比较.     

基于BIM技术的涵洞一体化设计应用研究

为了实现涵洞设计的计算、出图、工程量统计一体化,依托MicroStation CONNECT Edition平台,研发了铁路涵洞一体化设计程序。(1)根据铁路BIM联盟相关规范,对铁路涵洞构件进行颗粒度分类和编码,并对构件非几何属性进行细化,形成结构化、便于检索的涵洞模型信息数据库;(2)根据涵洞构件几何特点,通过二次开发,建立涵洞构件及附属构件全参数化模型库,并根据构件间约束关系,将各涵洞构件装配为整体三维模型;(3)对构件编码与数据库进行关联,输出涵洞的主要工程数量,实现涵洞的一体化设计。基于本程序,可实现涵洞的三维可视化和参数化批量设计,减少铁路工程中涵洞设计人力资源投入,提高涵洞的设计生产效率。     

铁路工程EPC项目进度控制研 究简

铁路工程EPC模式,基本涵盖了建设工程的全过程。铁路勘察设计单位作为EPC建设项目的总承包单位,如何在施工阶段进行施工进度管理和控制,此文结合大连机车接轨区工程,针对内外部影响因素进行分析,通过分析与研究,提出可采取的内外部影响因素控制措施,保证建设项目的J,l~,ffq实施。并为勘察设计单位进行施工阶段的进度管理和控制提供借鉴。     

The punctuality performance of aircraft rotations in a network of airports

The aim of this paper is to investigate the influence of aircraft turnaround performance at airports on the schedule punctuality of aircraft rotations in a network of airports. A mathematical model is applied, composed of two sub-models, namely the aircraft turnaround model (turnaround simulations) and the enroute model (enroute flight time simulations). A Markovian type model is featured in the aircraft turnaround model to simulate the operation of aircraft turnarounds at an airport by considering operational uncertainties and schedule punctuality variance. In addition, stochastic Monte Carlo simulations are employed to carry out stochastic sampling and simulations in both the aircraft turnaround model and the enroute model. Results of simulations show the robustness of the aircraft rotation model in capturing uncertainties from aircraft rotations. The propagation of knock-on delays in aircraft rotations is found to be significant when the short-connection-time policy is used by an airline at its hub airport. It is also found that the proper inclusion of schedule buffer time in the aircraft rotation schedule helps control the propagation of knock-on delays and, therefore, stabilize the punctuality performance of aircraft rotations.     

基于遗传算法的排课系统

随着高校的发展,在教务管理系统中使用的排课模型也变得越来越复杂,亟需一种适用于开发、重用及设计的方法。针对这种情况,本文给出了排课问题的数学模型,提出基于遗传算法解决方案。结果表明,该算法能比较有效的解决排课问题。该方法易于学习和应用,且不必依赖特殊的实现模式。