城市群双线客流分布预测方法研究

鉴于城市群客流预测在城市群轨道交通规划中的重要性,为提高其预测精度,对城市群客流预测中的分布预测方法进行研究.分析现实能够收集到的资料及城市群交通分布的特点,提出城市群双线分布预测方法.在城市群资料有限的情况下,研究如何得到城市群分布的预测结果;阐述分布预测的计算方法,建立相关的计算模型,对几种常用的分布预测模型进行优缺点及适用性分析.     

物流的转型--供应链管理

与物流相比,供应链管理更能够给企业带来巨大的经济效益。因此,对供应链管理的进一步研究具有现实的意义。     

站场信息化管理解决方案

目前公路货运站场管理模式低下,科技含量甚少,企业再发展前景渺茫,必须依靠新的高科技手段,采用信息化管理方案,以新的经营理念,打造出可持续发展的交通站场企业模式来。     

对会计信息失真治理对策的研究

从主观和客观两个方面对会计信息失真的原因进行了分析,并提出了防治会计信息失真的法治对策、教育评价机制对策、内部制度对策等治理对策。     

产品数据管理(PDM)实施技术研究

主要阐述了产品数据管理技术的基本概念,论述了PDM技术在企业中的应用和实施优势,分析了PDM技术实施的目标、内容和基本步骤。     

无线Ad-Hoc网络密钥分发和认证机制研究

针对Ad Hoc网络没有管理中心,资源受限等特点,解决了Ad-Hoc网络面临的新的安全问题,使Ad-Hoc网络得到更广泛的应用.结合基于身份加密和门限秘密共享两个基本理论,提出了一个适用于Ad-Hoc网络、没有管理中心的分布式密钥分发和认证方案.其优点是:减少了运算量,节省了存储空间和带宽,并无需在网络形成之前假设密钥已经分发完毕,从而有效解决了Ad-Hoc网络安全中密钥管理的问题.     

The value of options for time charterparty extension: an artificial neural networks (ANN) approach

The most frequently associated options in the physical shipping market are options to extend the charter period on time charters and additional shipment options on contracts of affreightment. The value of freight options, in practice, is estimated mostly by referring to forward curves. An option on freight has different properties from its financial counterparts, and the straightforward adoption of theoretical models does not produce promising results. In this paper, extension options, which have the property of options on futures, were transformed into regular European options before the application of the Black-Scholes model (BSM). The efficient market hypothesis, which justifies the parity of the performance of a long-term charter to that of repetitive short-term charters, worked as the basis for the transformation. The option values determined by the BSM were compared with actual realized values. Additionally, the artificial neural networks (ANN) was employed to derive the option values. This study is meaningful as the first-time application of both the closed-form solution and the ANN to the valuation of physical freight options. The research results can contribute to the quality of chartering decisions. The results could also be used in quantifying credit risk, as extension options tend to be granted to charterers with more creditability.     

智能船舶集成设计技术

针对符合CCS《智能船舶规范》入级符号的船舶设计开发,研究分析智能船舶集成设计技术的设计思想、设计要素、设计框架和关键技术,设计目标船解决方案,并讨论了未来需要突破技术方向。     

Design and Practice of Cloud Computing Platform for TBM Operation Information北大核心CSCD

The problems of TBM construction data loss, information barriers and absence of data mining have con⁃ strained the advancement of basic technologies in TBM field. Aimed at building a cloud computation platform for TBM operation information, a new concept of 3B, i. e. Born by digit, Born in format and Born to the cloud, was pre⁃ sented, the issues of information acquisition, transmission and storage during TBM operation were solved, and massive heterogeneous information intelligent transmission system and big data warehouse of TBM group were established. A structure model of cloud computation platform was designed by taking Hadoop system as ecosphere, and a cloud computation platform was built to deploy related algorithm, realizing on-line monitoring and data sharing, further⁃ more the data law mining of interaction of rock mass versus TBM machine was conducted based on big data tech⁃ nique, exploring the development direction of the information platform. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

An integrated framework for embedding large-scale dynamic traffic assignment models in advanced traveler information systems

In recent years, increasing attention has been drawn to the development of various applications of intelligent transportation systems (ITS), which are credited with the amelioration of traffic conditions in urban and regional environments. Advanced traveler information systems (ATIS) constitute an important element of ITS by providing potential travelers with information on the network's current performance both en-route and pre-trip. In order to tackle the complexity of such systems, derived from the difficulty of providing real-time estimations of current as well as forecasts of future traffic conditions, a series of models and algorithms have been initiated. This paper proposes the development of an integrated framework for real-time ATIS and presents its application on a large-scale network, that of Thessaloniki, Greece, concluding with a discussion on development and implementation challenges as well as on the advantages and limitations of such an effort.