高铁站功能区布局优化模型研究

为使高铁站功能区的布局更加科学合理,论文以旅客在高铁站房内的平均走行时间最少和高铁站建造成本最低为目标,综合考虑功能区的面积、长宽比例、功能区禁止重叠、流线等约束条件,构建基于多目标混合规划的高铁站功能区布局优化模型,通过算例验证了模型的有效性。该方法得出的结论可以为高铁站功能区布局的规划设计提供参考。     

包头地区筑路材料的分布与选择

针对内蒙古包头地区筑路材料的分布特征，结合工程实践进行归纳分析，并提出相应的见解，可供设计时参考。     

铁路地理信息系统研究

铁路地理信息系统是一个利用计算机网络技术,采用分布式数据库系统建立的专业化管理与决策空间信息系统,支持管理和科技人员快速查询全国铁路资源及铁路沿线环境状况,实现政务办公、综合分析、战略决策、信息管理等方面自动化,以及防治铁路灾害决策科学化。本文从我国铁路地理信息系统的需求分析入手,探讨全国铁路地理信息系统的总体设计。     

Driver requirements and road traffic informatics

Initially the driver's role as a link in the driver-vehicle-road-traffic control-chain is discussed in a historical perspective. The gradual changes and the advantages and problems arising from these changes are discussed from behavioural point of view.Then the driver tasks are analyzed. A separation is made between trip planning, navigation, road following, traffic interaction, rule compliance, other than traffic tasks, car handling and speed choice. The relations between and the weights of these subtasks are discussed. Some existing driver behaviour models are reviewed in relation to the above mentioned tasks.Finally an effort is made based on the analyses of driver tasks and driver models to specify some general and some more specific potential advantages and problems with expected future RTI-systems.     

原油运输市场分析

分别概述了世界与中国的石油资源储量分布、可持续开采年数、不同地区的生产量与消耗量、以及产销平衡状况,由此派生的全球不同地区原油、成品油的进出口量、海运量与主要的海运航线,我国石油进口的主要来源和途径;分析了油轮的船型和船龄的分布,进而预测了世界上几种主要原油轮运力的供应、需求、船价与运价的发展趋势。这些分析和预测可以作为制定油轮发展的技术政策、战略、规划等宏观决策时的参考。     

基于黑板体系的CGF智能决策系统的构造

介绍了一种智能决策系统的结构设计，此设计以黑板体系为构架，通过内置的黑板结构、知识源结构及椎理控制策略为CGF提供一个简易、友好的智能决策系统。在决策推理决策中，由于不精确推理算法的使用，使得此智能决策系统决策快速而准确，满足了CGF智能决策的需求。     

对铁路客站概算编制几个问题的探讨

铁路站房一般具有跨度大、空间大、荷载重等特点,他不同于一般的工业与民用建筑,在编制概预算时如果直接套用地方定额,会存在一定的不合理性.此文从站房基坑土方开挖、大体积混凝土支撑系统、大型钢结构安装工程、建筑装修支撑体系等方面,分析对编制项目概算的影响.通过分析与对比,提出采用地方定额的建议,以供在今后编制站房概算中借鉴.     

基于灰色评价理论的自适应最优路径选择

充分考虑了驾驶员在路径选择中的不同要求,依据层次分析法和灰色评价理论建立了一种根据驾驶员的偏好自适应选择最优路径的方法,并设计了相应的决策支持系统,为智能交通流诱导系统的进一步发展铺平了道路。     

两级模糊优选模型及非结构性模糊决策理论在桥梁方案比选中的应用

选择桥梁设计方案,涉及诸多因素,这些因素在某些情况下相容,在某些情况下又相斥。为了协调这些复杂关系,并降低人为因素的影响,本文引入两级模糊优选模型及非结构性模糊决策理论。并运用此模型,进行一桥梁的设计选型优化,得到了比较理想的结果,证明了此模型在桥梁方案比选中的实用性。     

Optimization of terminal airspace operation with environmental considerations

The rapid growth in air traffic has resulted in increased emission and noise levels in terminal areas, which brings negative environmental impact to surrounding areas. This study aims to optimize terminal area operations by taking into account environmental constraints pertaining to emission and noise. A multi-objective terminal area resource allocation problem is formulated by employing the arrival fix allocation (AFA) problem, while minimizing aircraft holding time, emission, and noise. The NSGA-II algorithm is employed to find the optimal assignment of terminal fixes with given demand input and environmental considerations, by incorporating the continuous descent approach (CDA). A case study of the Shanghai terminal area yields the following results: (1) Compared with existing arrival fix locations and the first-come-first-serve (FCFS) strategy, the AFA reduces emissions by 19.6%, and the areas impacted by noise by 16.4%. AFA and CDA combined reduce the emissions by 28% and noise by 38.1%; (2) Flight delays caused by the imbalance of demand and supply can be reduced by 72% (AFA) and 81% (AFA and CDA) respectively, compared with the FCFS strategy. The study demonstrates the feasibility of the proposed optimization framework to reduce the environmental impact in terminal areas while improving the operational efficiency, as well as its potential to underpin sustainable air traffic management.