筑路机械事故隐患分析与预防

与筑路机械相关的施工事故占道路施工事故中的绝大部分。因此，建立合理的筑路机械事故隐患分析与预防体系关系到施工企业、人员的切身利益。从筑路机械的设计拆卸安装、调试及使用中的各方面对事故隐患进行了分析，并阐述了事故预防体系。     

CAN局域网及J1939协议在货车和客车上的运用

叙述了CAN总线网络的特点及J1939协议的原理、内容及协议的应用。并设计最小节点实现应用J1939协议的CAN局域网的数据通信功能。     

柴油、乳化油和甲醇喷雾燃烧光强波的研究

探讨了柴油机燃烧光强波的性质。在不同压力、氧浓度的条件下，对柴油、乳化油、甲酵喷雾的燃烧光强波进行了测量分析。结果表明，柴油机的燃烧光强波所反应的是火焰内碳粒的氧化历程。对于不同的燃料，燃烧光强波的强弱并不仅仅取决于火焰中碳粒的数量，同时还取决于火焰中的氧浓度。     

汽车操纵动力学十八自由度模型仿真研究

本文介绍了根据多刚体动力学中的凯恩方法建立的一般两轴汽车的十八自由度数学模型。     

神经网络技术在车内噪声预测上的应用

本文根据神经网络理论，建立了单一工况下由发动机悬置点振动信号预测车内特定点低频噪声的神经网络模型，并针对驾驶员耳旁噪声进行了实验研究，结果表明：基于神经网络的单一工况车内噪声观测模型，可以频域内很好地预测出特定点的车内噪声。     

能感受负载的节能液压系统

提高大中液压传动的效率日渐成为系统设计的主要目标。较理想的系统应有能力在任何情况下使油泵流量恰好满足负载变化要求，而油压仅比负载压力略高一较小值。这里所介绍的是一种能感受负载的液压系统的工作原理，这能时刻根据负载情况调整泵压和流量，达到上述要求，因此具有优良的节能效果和操作性能。     

混凝土箱梁设计参数对温度效应的影响

在对水府庙混凝土箱梁桥温度场的实测和分析基础上,进行设计参数的研究,包括箱梁翼缘悬臂长度、腹板高度和桥梁轴线方位角对温度场和温度应力的影响,得到最大横向温差与（腹板高度/翼缘悬臂长度）的曲线图.     

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.