基于ITS的汽车主动避撞性关键技术研究(一)

利用信息感知、动态辨识、控制等技术与方法提高汽车的主动安全性，是智能交通系统（ITS）的主要研发内容之一。介绍了基于ITS的汽车主动避撞关键技术的研究工作，主要包括：车辆运动中对周围障碍物的感知技术方法；危险或安全状态的动态辨识；具有主动避撞性能的ACC（Adaptive Cruise Control）技术等；给出了相关技术研究的仿真及实验结果，并对该技术在我国的实用化前景进行了展望。     

汽车导航用电子地图的高效路网模型

为了有效地描述实际道路网络，提高汽车导航系统的运行效率，建立了一种新的电子地图的路网模型。在分析了嵌入式系统特点的基础上，对路网的数据结构进行了简化。采用重整实体ID的方法，进一步提高了数据的处理效率。实践证明，该模型可以较好地表述实际的道路网络，结构精练，处理效率高，适合车载导航系统，特别是嵌入式车载导航系统的要求。     

智能车辆机器视觉发展近况

简要回顾了机器视觉的早期发展，从简单的特定场合应用到模拟人眼的复杂系统设计，介绍了机器视觉产品在智能汽车上的应用情况，分析了世界各国在车用机器视觉技术领域研究开发情况以及未来发展趋势。     

基于CAN的混合动力汽车控制系统体系结构研究

在分析某型混合动力汽车的结构与工作原理的基础上，基于CAN总线技术，研究了控制系统的网络拓扑结构、节点功能及信息传递方式，以及硬件设计中的节点通信接口结构和控制系统的软件结构。其研究方法和结论为混合动力汽车以及其它类型车辆控制系统的研究和开发提供了理论依据和技术基础。     

电子节气门技术的发展现状及趋势

简要回顾了发动机电喷系统中电子节气门的由来及发展;论述了最新电子节气门产品的系统组成、工作原理、功能及其优点,并对其进一步的发展趋势作了分析探讨。     

液压系统配管设计及其故障分析

介绍现场机械设备液压系统维护中的配管设计，包括配管设计要求、主要技术性能参数、油管的选用以及设计要点。以一实例对配管设计不当而产生故障的原因进行分析，并提出改进措施。     

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.     

Tool for Predicting the Ultimate Bending Moment of Ship and Ship-Shaped Hull Girders

The present paper presents a historical review associated with the research works on hull girder strength of ship and ship-shaped structures. Then, a new program is developed to determine the ultimate vertical bending moment of hull girder by applying direct method, stress distribution method, and progressive collapse analysis method. Six ships and ship-shaped structures used in the benchmark study of International Ship and Offshore Structures Congress (ISSC) in 2012 are adopted as examples. The calculation results by applying the developed program are analyzed and compared with the existing results. Finally, the roles of the developed program and its further development are discussed.