Classification of Livebus arrivals user behavior

With the increasing use of Intelligent Transport Systems, large amounts of data are created. Innovative information services are introduced and new forms of data are available, which could be used to understand the behavior of travelers and the dynamics of people flows. This work analyzes the requests for real-time arrivals of bus routes at stops in London made by travelers using Transport for London's LiveBus Arrivals system. The available dataset consists of about one million requests for real-time arrivals for each of the 28 days under observation. These data are analyzed for different purposes. LiveBus Arrivals users are classified based on a set of features and using K-Means, Expectation Maximization, Logistic regression, One-level decision tree, Decision Tree, Random Forest, and Support Vector Machine (SVM) by Sequential Minimal Optimization (SMO). The results of the study indicate that the LiveBus Arrivals requests can be classified into six main behaviors. It was found that the classification-based approaches produce better results than the clustering-based ones. The most accurate results were obtained with the SVM-SMO methodology (Precision of 97%). Furthermore, the behavior within the six classes of users is analyzed to better understand how users take advantage of the LiveBus Arrivals service. It was found that the 37% of users can be classified as interchange users. This classification could form the basis of a more personalized LiveBus Arrivals application in future, which could support management and planning by revealing how public transport and related services are actually used or update information on commuters.     

基于BIM的山岭隧道施工信息化管理系统研发与应用

隧道施工现场采集的结构、地质、施工信息碎片化严重，缺乏统一组织手段，分析利用难度大，隧道动态设计与信息化施工水平有待提高。为支撑隧道工程施工信息化，对施工数据进行标准化定义，开发数据标准化工具，以支撑施工期异构数据统一组织应用。针对BIM技术在设计与施工中难以落地、工程数据难以集成的问题，研究多尺度BIM模型建立方法，并以里程为索引，集成地质、进度、设计方案等信息，实现施工数据统一管理与可视化。基于动态更新的施工现场数据与轻量化BIM模型，建立以集成信息模型为核心，桌面端、网页端与移动端应用综合服务的施工信息化管理系统，提供全面施工决策信息，动态评估施工风险，保障工程效率与安全。经云南老营特长公路隧道工程实践验证，本系统基本满足信息化管理需求，对隧道工程信息化管理及BIM技术的工程应用具有借鉴意义。     

基于数据驱动的隧道地质信息精细化管理系统研发与应用

针对现阶段隧道超前地质预报系统管理粗放、数据利用率低等问题，结合数据驱动原理重塑业务逻辑，研发新的隧道地质信息系统TGIS。通过高度集成隧道勘察设计阶段地质、施工阶段超前预报地质及掌子面开挖揭示地质，实现基于数据驱动的预报方法优选、临近预报提醒、分级实时预警与有效处置、掌子面自动素描、预报成果辅助判识等功能，达到隧道地质信息精细化管理的目的。经现场使用表明： 基于数据驱动的隧道地质信息精细化管理系统界面友好、运行稳定、效果良好，各项功能达到设计要求，相对于传统超前地质预报系统具有明显的优势，可普遍服务于隧道建设。     

铁路延伸客服系统设计方案研究

随着客运专线铁路及电子商务的兴起，延伸铁路客运服务信息系统将为旅客提供更加便捷高效的服务，介绍了延伸旅客服务信息系统的总体方案及设计。     

基于ANP和粗糙集计算权重的绿色铁路客站评估

建设满足"节能环保"要求的绿色铁路客站,是我国铁路发展的趋势所在,因此铁路客站的绿色等级评估是极有必要的。通过建立绿色铁路客站"四节一环保"评价指标体系,以网络层次分析法(ANP)确定指标主观权重,经典粗糙集理论确定指标客观权重,再通过最小相对熵原理对二者进行优化结合,最后用得出的指标综合权重对银川新铁路客站进行绿色星级评估。结果表明:该权重确定方法既克服了因未考虑各指标之间的依存反馈关系而使主观权重不够准确的弊端,又利用相对熵原理优化并减小了主、客观权重结合的偏差,得出科学合理的组合权重,体现本文指标权重确定方法的有效性和优越性,为更加准确地评估铁路客站的绿色等级提供参考。     

高速公路大型门架式可变情报板（LED）系统探析

通过介绍可变情报板的系统构成、功能、原理，以促进其推广和应用，从而更好地为高速公路安全、高速和畅通的运行提供保障。     

Personalized real-time traffic information provision: Agent-based optimization model and solution framework

The advancement of information and communication technology allows the use of more sophisticated information provision strategies for real-time congested traffic management in a congested network. This paper proposes an agent-based optimization modeling framework to provide personalized traffic information for heterogeneous travelers. Based on a space–time network, a time-dependent link flow based integer programming model is first formulated to optimize various information strategies, including elements of where and when to provide the information, to whom the information is given, and what alternative route information should be suggested. The analytical model can be solved efficiently using off-the-shelf commercial solvers for small-scale network. A Lagrangian Relaxation-based heuristic solution approach is developed for medium to large networks via the use of a mesoscopic dynamic traffic simulator.     

TMIS应用数据转换工具的设计

根据ＴＭＩＳ的需求，给出了应用数据转换工具系统的总体结构，并在应用环境中实现了该系统。本数据转换系统具有较好的通用性，实时性，可用性，完全可满足ＴＭＩＳ应用的要求。     

Monitoring marine plankton ecosystems: Identification of the most relevant indicators of the state of an ecosystem

The number of variables involved in the monitoring of an ecosystem can be high and often one of the first stages in the analysis is to reduce the number of variables. We describe a method developed for geological purposes, using the information theory, that enables selection of the most relevant variables. This technique also allows the examination of the asymmetrical relationships between variables. Applied to a set of physical and biological variables (plankton assemblages in four areas of the North Sea), the method shows that biological variables are more informative than physical variables although the controlling factors are mainly physical (sea surface temperature in winter and spring). Among biological variables, diversity measures and warm-water species assemblages are informative for the state of the North Sea pelagic ecosystems while among physical variables sea surface temperature in late winter and early spring are highly informative. Although often used in bioclimatology, the utilisation of the North Atlantic Oscillation (NAO) index does not seem to provide a lot of information. The method reveals that only the extreme states of this index has an influence on North Sea pelagic ecosystems. The substantial and persistent changes that were detected in the dynamic regime of the North Sea ecosystems and called regime shift are detected by the method and corresponds to the timing of other shifts described in the literature for some European Systems such as the Baltic and the Mediterranean Sea when both physical and biological variables are considered.     

地理信息系统中数据库间数据交换技术的研究

鉴于地理信息系统中数据交换信息量巨大,提出利用数据交换通信平台(DECP)作为中间层,来实现异构数据库之间的数据传输和交换。DECP由数据访问层、业务逻辑层、安全代理、数据传送代理、客户代理、消息层、事务管理器七个部分组成。DECP所采用的关键技术是基于代理的安全技术、系统调度、异构数据库的访问和事务的调度和管理。