船用小型汽轮机危急保安器特性分析

针对船用小型汽轮机常用的超速危急保安器结构特点，从偏心式飞锤、压紧弹簧及整个保安器三个方面对力学特性和运动特性进行了分析，获得了脱扣前、脱扣后及复位过程的特性，并得出了调整垫片厚度对脱扣转速的变化规律，可为汽轮机机组安全运行提供保障。     

公路运输与管理专业“2＋1＂实训教学模式研究

文章针对高职院校三年制教学模式下公路运输与管理人才培养的弊端,结合公路运输行业的发展实际,提出公路运输与管理专业推行“2＋1”实训教学模式改革的必要性,阐述了分阶段、循环递进式的实训教学模式及实施流程,并评述了该教学模式取得的成效与存在的不足.     

A measurement to driving situation awareness in signalized intersections

Drivers get involved easily in Left-Turn Across Path with Opposite Direction Traffic (LTAP-OD) conflicts at signalized intersection with unprotected left-turn phasing. This study classified the left-turn drivers’ performance into four types: (1) the correct acceptance of safe lags/gaps, (2) the correct rejection of dangerous lags/gaps, (3) the false rejection of safe lags/gaps and (4) the false acceptance of dangerous lags/gaps. Based on the high mounted video camera data, the logistic regression model was used to obtain the critical gaps for estimating whether the lags/gaps were safe or not. The results show that the cognition behavior of the left-turn drivers should be improved while the gap/lag is drawn near the critical gap. Furthermore, the conservative drivers are more likely to reject the larger lags/gaps and yield the right-of-way to the opposing vehicles. Simultaneously the poor response execution may cause drivers to have difficulties during the turning performance when the lags/gaps are large enough. These results could be used as the basis for a discussion of the right time to support the drivers.     

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.     

基于多维信息特征分析的驾驶人认知负荷研究

准确评估驾驶人认知负荷水平，对于深入研究驾驶人行为特性，改善驾驶安全性具有重要意义。现有的驾驶人认知负荷分类方法，大多基于心电、脑电等生理信息和车辆信息，由于特征选择上的单一性，导致驾驶人认知负荷分类模型的分类精度不高。设计基于跟驰场景的不同认知负荷N-back次任务试验，通过采集受试者的生理信号和车辆信号，结合NASA_TLX主观评分和机器学习算法，提出了基于多维信息特征融合的驾驶人认知负荷分类方法。研究表明：基于生理信息和车辆信息的多维信息特征认知负荷分类方法，其精度显著高于传统的基于生理信息的认知负荷分类方法，以多维信息特征为输入，随机森林法以其稳定性好、抗过拟合能力强的特点，表现出优异的分类效果，相比神经网络和支持向量机，具有最高的平均分类精度。     

新建管道施工对近距离既有隧道的影响及安全风险评估

以某上跨既有铁路隧道的输气管道施工项目为依托,对近距离涉铁工程建设影响进行综合分析。通过有限元数值模拟,分析管道施工各工序对既有隧道的受力影响,得到天然气管道及防护涵的施工对东龙山隧道稳定性基本无影响的结论。同时,采用专家调查法对既有隧道运营阶段的安全风险进行评估,认为管涵施工引起的安全风险可忽略,并提出相关风险控制措施。     

移植TAFE质量管理体系强化高职院校质量管理

通过对TAFE中ISO质量理念和方法的研究，全面深刻了解TAFE质量管理体系。结合我国职业教育质量管理特点，移植TAFE的成功经验，建立完善我国当前的高职质量管理体系，推动高职教育质量建设。     

融合D-S理论的锅炉人因贝叶斯网络安全性定量分析

针对船用锅炉人因安全性分析中存在的知识不确定性,采用D-S证据理论对多专家信息进行融合并建立考虑人因的贝叶斯网络,得到节点条件概率的区间表示形式.经加权平均后代入贝叶斯网络计算,与面向对象贝叶斯网络和FTA等方法的对比显示,该方法能够更加有效地融合不同专家信息,也更为符合工程实际.     

祁临高速公路运营管理的着力点探讨

从高速公路运营管理的自身规律出发,论述了祁临高速公路运营管理着重抓好管理的几个环节,仅供同行参考。