曹妃甸港“公转铁”发展策略探讨

曹妃甸港作为毗邻京津冀城市群的北方大港,是响应国家“公转铁”的重要支点。在阐述曹妃甸港集疏运系统布局及集疏运方式的基础上,针对曹妃甸港集疏运存在的问题,从大力发展集装箱运输、推动物流信息平台建设、提升作业效率及能力、打造曹妃甸疏港矿粉“公转铁”等方面,提出曹妃甸港“公转铁”发展策略,促进曹妃甸港铁路发挥全要素生产力,合理配置运输资源,加快推进曹妃甸港“公转铁”物流体系建设,提高铁路货运服务能力和供给质量。     

ATP系统数据记录器应用

主要介绍了德黑兰地铁12号线的ATP系统,它能够控制司机对列车的操作,具有故障-安全特性。该系统是ATC(Automatic Train Control)系统的子系统,用于保障行车安全,避免行车事故的发生。当司机不遵守列车运行指令而盲目驾驶的时候,ATP系统能够向司机报警并自动开启制动,降低列车行驶速度。重点介绍德黑兰地铁12号线ATP系统的安装、调试运行情况。目前德黑兰地铁的车载ATP还没有安装数据记录系统,主要对此进行了探讨并提出了相关解决方案。     

LKJ数据换装施工实行属地管理的利弊

LKJ数据换装施工实行属地管理,在感受其安全及时、节省资源等有利面时,也应客观分析其存在的弊端。结合LKJ数据属地换装实际,针对如何存利去弊,完善LKJ数据换装施工属地管理,谈谈个人的一些建议与看法。     

CTCS-3级列控系统CSD数据传输处理过程及延时性能分析

阐述了列控CSD数据传输在CTCS-3级列控系统中的应用与意义,介绍了CSD传输延时的定义以及铁路应用的指标要求,描述了CSD数据传输处理过程,分析了CSD延时的产生原因与分布情况,针对传输系统保护倒换、R接口不同的串口通信速率,以及不同的空口用户速率、用户数据帧长度给出了实测数据。     

Optimal Genetic View Selection Algorithm for Data Warehouse

To efficiently solve the materialized view selection problem, an optimal genetic algorithm of how to select a set of views to be materialized is proposed so as to achieve both good query performance and low view maintenance cost under a storage space constraint. First, a pre-processing algorithm based on the maximum benefit per unit space is used to generate initial solutions. Then, the initial solutions are improved by the genetic algorithm having the mixture of optimal strategies. Furthermore, the generated infeasible solutions during the evolution process are repaired by loss function. The experimental results show that the proposed algorithm outperforms the heuristic algorithm and canonical genetic algorithm in finding optimal solutions.     

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城市综合交通枢纽评价能否客观有效,将对城市综合交通系统的规划和发展产生重大影响。因此,本文重新整合数据包络分析法（DEA）,在传统CCR模型基础上,补充决策单元（DMU）排序方法,使其不但能够指出各决策单元是否有效及无效的原因和程度,同时得到各决策单元的优先排序。并将该方法应用到城市综合交通枢纽评价领域,不仅得到各枢纽或同一枢纽的不同规划方案的排序值,而且找到DEA无效枢纽或方案所存在的症结和改进的方向。最后,通过实例验证了该方法的可行性。     

基于小波变换的交通流数据集成灵敏度分析

道路上的交通流数据通常是以20-30秒间隔采集并传递到交通管理中心的，为了使这些数据能够广泛地运用于各种交通用途，必须采用合理高效的集成方法对其进行处理。传统的数据集成方法基于数理统计的理论，该方法不能有效地去除数据中的噪音。近年来迅速发展的基于小波变换的交通流数据集成方法克服了这一缺点，通过对交通流数据的频率特性进行详细分析能够使集成更加高效，准确满足不同的交通用途对集成的需求。但该方法尚未作进一步的灵敏度分析，本文通过对数据集成中小波函数和数据样本量这两个重要参数的分析，从理论的角度探讨了这两个参数变化对数据集成的影响。然后以北京市三环上的交通流数据为例，计算得到了数据集成建议采用的小波族和小波阶数，以及合理的最小样本量。该结论对数据集成在将来的实际应用具有指导意义。     

高职院校图书馆采编工作实践与探索

采编工作是对图书馆资源进行整合与调配的重要基础工作,对图书馆的馆藏质量、馆藏结构起着关键性的作用。针对高职院校图书馆采编工作的现状,就如何优化图书采编工作流程,提高采编工作的质量与效率,提升高职院校图书馆的整体工作水平进行了探索。     

基于VPS的电子收费技术研究

基于VPS的电子收费系统是目前世界上正在蓬勃发展的道路收费系统。研究了VPS电子收费系统的系统原理和工作原理；比较分析各种电子收费系统的优劣，研究VPS电子收费技术的适用性；最后展望了这种收费技术在我国的应用前景。     

Estimating metro passengers’ path choices by combining self-reported revealed preference and smart card data

With the help of automated fare collection systems in the metro network, more and more smart card (SC) data has been widely accumulated, which includes abundant information (i.e., Big Data). However, its inability to record passengers’ transfer information and factors affecting passengers’ travel behaviors (e.g., socio-demographics) limits further potential applications. In contrast, self-reported Revealed Preference (RP) data can be collected via questionnaire surveys to include those factors; however, its sample size is usually very small in comparison to SC data. The purpose of this study is to propose a new set of approaches of estimating metro passengers’ path choices by combining self-reported RP and SC data. These approaches have the following attractive features. The most important feature is to jointly estimate these two data sets based on a nested model structure with a balance parameter by accommodating different scales of the two data sets. The second feature is that a path choice model is built to incorporate stochastic travel time budget and latent individual risk-averse attitude toward travel time variations, where the former is derived from the latter and the latter is further represented based on a latent variable model with observed individual socio-demographics. The third feature is that an algorithm of combining the two types of data is developed by integrating an Expectation-Maximization algorithm and a nested logit model estimation method. The above-proposed approaches are examined based on data from Guangzhou Metro, China. The results show the superiority of combined data over single data source in terms of both estimation and forecasting performance.