用改进的前向神经网络预测铁路货运量

对影响铁路货运量的因素进行了分析。根据影响铁路货运量的诸因素的特点，介绍了一种改进的前向神经网络预测方法，并建立了铁路货运量前向神经网络预测模型。算例表明，其预测精度高于常规预测方法。     

驾驶员统计特性对人—车闭环系统响应的影响与汽车主动安全性评价

基于预瞄跟随理论，本文应用一般随机摄动法，对考虑驾驶员不确定性的人－车闭环系统进行响应分析，结合实例，说明该方法在汽车主动安全性评价中的应用。     

沥青混凝土摊铺机液压系统的计算机故障诊断

通过对ＬＴＬ４５００型沥青摊铺机液压系统现有故障诊断方案进行分析，探讨了计算机辅助故障诊断技术的可行性，同时总结出一种确定最佳维修期的方法。     

钢管混凝土系杆拱桥预应力技术及结构分析测试研究

南京栖霞大桥为一座主跨８６．５ｍ的大跨度宽桥面钢管混凝土系杆拱桥。阐述了该桥的预应力施工技术，分析了桥梁在施工各阶段的受力特征，并结合系梁的实测应力，对实施过程中的结构安全性进行评价。同时还研究了大跨度宽桥面系杆拱桥独特的力学特征。     

连续刚构桥的群桩基础计算模型研究

群桩基础是连续刚构最常用的基础形式之一，分析探讨了群桩基础的几种建模方法，给出了建模思路和参数取值。结合苏通大桥辅航道桥预应力混凝土连续刚构的工程需要，提出了考虑群桩基础与上部结构共同工作的计算模型，并将计算结果与不考虑桩基的模型计算结果进行了对比分析，计算方法对类似工程有直接参考价值。     

石灰土中石灰活性衰减规律研究

通过试验的方法研究松散石灰土在常温和低温开放状态、常温密封状态条件下石灰活性衰减的规律，推定出不同状态条件下石灰活性衰减率公式，以确定石灰土合理的闷料时间，减少不必要的石灰活性衰减和未消解石灰对路面基层的破坏，为石灰土路面基层质量问题的界定提供依据。     

V形刚构桥施工中倒三角区域支架的拆除时机分析

采用桥梁博士软件模拟一座典型的V形墩连续刚构桥的施工过程,为找出支架拆除对传力途径的影响,分别单独计算结构自重、预应力以及收缩徐变内力,然后对单因素分析的结果进行组合。分析结果表明倒三角区域支架的拆除时机对桥梁在施工阶段及成桥后的内力均有显著影响,可达50%以上。建议优先采用早拆支架方案,以使结构受力明确,且对V形墩区域受力有利。     

Study on dynamic characteristics of vehicle gearbox under multi-boundary conditions

With the development of vehicle gearbox to high-power-density and high-speed, how to predict and optimize the dynamic characteristics of vehicle gearbox becomes increasingly prominent. Aiming at the vehicle gearbox, this paper comprehensively and deeply studies the dynamic characteristics under the multi-boundary conditions. The generation mechanism of the multi-source excitations triggering the gearbox vibration is analyzed firstly. The vibration transfer path of the gearbox is explored. Secondly, the engine excitation, the gear meshing excitation and the bearing support load are numerically calculated. According to the finite element method, a fluid-solid coupling finite element model of the gearbox body is established to predict the gearbox dynamic responses based on the Galerkin method and the Hamiltonian variational principle. Finally, the effects of the excitation condition, oil height and reinforcement forms on the vibration responses of the gearbox body are thoroughly studied by simulation. The analysis indicates that it not only helps to modify and improve the method of forecasting the gearbox dynamic response, and also provides the theoretical and technical guidance for the gearbox design and optimization.     

Target priority determination methods by interval-valued intuitionistic fuzzy sets with unknown attribute weights

The paper aims at the problem of multi-targets threat degree being hard to be evaluated accurately in complex air defense battlefield environments. Combined with multi-sensors information fusion and interval-valued intuitionistic fuzzy sets (IVIFS) theories, the target priority determination is studied. The score and accuracy functions of IVIFS are improved with thinking about the hesitating information in order to increase the rationality. Then, the influence factors of target priority and the nonlinear relationship between the influence factors and target priority are analyzed. Next, the algorithms for calculating the factor weights and sensor weights are given. Based on the theory of IVIFS and technique for order preference by similarity to an ideal solution (TOPSIS), two methods of target priority determination based on the IVIFS and TOPSIS are proposed. At last, an application example verifies the effectiveness and flexibility of the proposed algorithms.     

Exploring the impact of walk–bike infrastructure,safety perception,and built-environment on active transportation mode choice: a random parameter model using New York City commuter data

This study estimates a random parameter (mixed) logit model for active transportation (walk and bicycle) choices for work trips in the New York City (using 2010–2011 Regional Household Travel Survey Data). We explored the effects of traffic safety, walk–bike network facilities, and land use attributes on walk and bicycle mode choice decision in the New York City for home-to-work commute. Applying the flexible econometric structure of random parameter models, we capture the heterogeneity in the decision making process and simulate scenarios considering improvement in walk–bike infrastructure such as sidewalk width and length of bike lane. Our results indicate that increasing sidewalk width, total length of bike lane, and proportion of protected bike lane will increase the likelihood of more people taking active transportation mode This suggests that the local authorities and planning agencies to invest more on building and maintaining the infrastructure for pedestrians. Further, improvement in traffic safety by reducing traffic crashes involving pedestrians and bicyclists, will increase the likelihood of taking active transportation modes. Our results also show positive correlation between number of non-motorized trips by the other family members and the likelihood to choose active transportation mode. The model would be an essential tool to estimate the impact of improving traffic safety and walk–bike infrastructure which will assist in investment decision making.