铁路车站咽喉区进路排列优化方法

合理排列接发列车和调车作业进路是保证铁路车站行车安全和提高行车效率的重要内容,在车站接发列车和调车作业自动化、车站行车作业过程模拟等方面也有着十分重要的意义。本文从有利于后续作业进路排列的目的出发,按序列化逐项作业排列进路的规则,分别提出了铁路车站咽喉区最大平行进路和最大概率进路的紧侧优化方法,该方法简明快捷,对现场计算和理论研究均有指导意义。     

船舶气象导航最省燃料航线研究

船舶气象导航是保证船舶航行安全和节能的重要手段。本文应用最佳控制理论研究和建立船舶最省燃料航线数学模型。在分析比较船舶最短时间航线和最省燃料航线数学模型的基础上，讨论了最省燃料航线算法实现。并针对冬季北太平洋进行了最省燃料航线模拟试验。     

与城市交通协调发展的集疏运通道规划选线方法——以上海G1501沿江通道为例

随着经济的不断增长,发达成熟城市将会面临集疏运系统饱和及缺乏问题。以上海沿江通道各种规划选线方法及路线方案为例,介绍了在用地资源有限、集疏运系统不完善条件下,如何与其他通道结合,新建集疏运通道,从而保证各自功能的发挥并能与城市交通协调发展。     

基于可拓学的生态影响评价方法在铁路选线中的应用

针对铁路工程选线的特点,从生态环境影响的评价指标选取入手,用优势度指数、均匀度指数、树木生长率等18项指标反映铁路工程建设对生态环境影响的各个方面。采用可拓学理论中优度评价法建立评价模型,按照确定待评物元、确定权系数、筛除不满足必备条件方案、建立关联函数并计算合格度、合格度规范化、计算优度等步骤进行定量的分析评价。通过对各待评方案优度值的比较,进行合理方案的选取。运用该评价方法对工程实例进行的评价分析证明,该方法具有简单、直观等优点,为在考虑铁路建设的生态环境问题基础上的线路方案选择提供一种新的综合评价方法。     

∞型生产线在汽车零配件机器人组立中的应用

提出一种改良的0型生产线——∞型生产线,该生产线很好地避免了汽车零配件机器人组立大型成对零件时,O型路径存在物流路线迂回、生产线不平衡和生产效率低下等问题.文中以示例的形式对比了O型生产线和∞型生产线在汽车配件组立中的运用效果,结果显示∞型生产线在大型成对零件的机器人组立中优势明显.     

关于深圳至珠海间伶仃洋通道的线路走向方案研究

粤港澳大湾区各城市间互联互通,协同发展是践行重大国家战略的重大举措。深港区域和珠澳区域是湾区空间布局的两个重要发展极,两个区域之间有伶仃洋天堑阻隔,严重制约了湾区一体化发展。充分考虑珠江口伶仃洋区域高等级航道众多,航运繁忙,两岸港口、码头、锚地密集分布的现状,对在深圳至珠海间的伶仃洋上建设新通道进行了仔细研究,统筹分析两个区域间的城市规划、水工设施等因素,对该通道的线路走向从宏观到具体进行了多方面的技术经济分析,从线路走向,到人工岛的设置,再到各方案对海洋资源的适应性等方面进行了系统的比较,提出适应发展的建议走向,为项目的研究提供瞻望性借鉴。     

连盐铁路连云港地区线路引入方案研究

主要介绍了连盐铁路线路方案的选线思路及设计原则,并结合路网规划、城市规划、沿线地形地质条件,着重对连云港地区多方案比较研究后,以连云港站西端引入,经云台山站东出的西进东出方案为推荐方案,既便于运输组织,又有利于地方港口开发。     

光网络业务恢复算法研究

光网络拓扑结构的变化破坏网络中端到端的连接业务和业务环．根据原有业务路由和结构改变后的网络结构，从原有业务的正向和反向搜索，找出原有业务路由的正向和反向断点；通过回溯法和路由算法搜索出断点之间的路由，连接正向断点之前的路由、断点之间的路由和反向断点之后的路由实现业务恢复。     

A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit

Deviated fixed route transit (DFRT) service connecting rural and urban areas is a growing transportation mode in the USA. Little research has been done to develop frameworks for route design. A methodology to explore the most cost‐effective DFRT route is presented in this paper. The inputs include potential DFRT demand distribution and a road network. A heuristic is used to build possible routes by starting at urban cores and extending in all network directions in certain length increments. All the DFRT routes falling in the length range desired by the users are selected. The cost effectiveness of those routes, defined by operating cost per passenger trip, is compared. The most cost‐effective route is selected and presented in a GIS map. A case study illustrates the methodology in several Tennessee metropolitan regions. The most cost‐effective route length is case specific; some routes (e.g. those out of our Nashville case) are most cost effective when short, while others (e.g. those out of Memphis) are most cost effective when long. Government agencies could use the method to identify routes with the lowest operating cost per passenger given a route length or an operating cost budget. Copyright © 2016 John Wiley & Sons, Ltd.     

Short/medium-term prediction for the aviation emissions in the en route airspace considering the fluctuation in air traffic demand

This paper proposes a novel short/medium-term prediction method for aviation emissions distribution in en route airspace. An en route traffic demand model characterizing both the dynamics and the fluctuation of the actual traffic demand is developed, based on which the variation and the uncertainty of the short/medium-term traffic growth are predicted. Building on the demand forecast the Boeing Fuel Flow Method 2 is applied to estimate the fuel consumption and the resulting aviation emissions in the en route airspace. Based on the traffic demand prediction and the en route emissions estimation, an aviation emissions prediction model is built, which can be used to forecast the generation of en route emissions with uncertainty limits. The developed method is applied to a real data set from Hefei Area Control Center for the en route emission prediction in the next 5 years, with time granularities of both months and years. To validate the uncertainty limits associated with the emission prediction, this paper also presents the prediction results based on future traffic demand derived from the regression model widely adopted by FAA and Eurocontrol. The analysis of the case study shows that the proposed method can characterize well the dynamics and the fluctuation of the en route emissions, thereby providing satisfactory prediction results with appropriate uncertainty limits. The prediction results show a gradual growth at an average annual rate of 7.74%, and the monthly prediction results reveal distinct fluctuation patterns in the growth.