Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.     

中型汽车变速软轴操纵系统设计

通过目前中型常规车刚性硬杆操纵和远距离软轴操纵方式的对比,阐述了刚性硬杆操纵和远距离软轴操纵方式的优缺点;介绍了中型汽车变速软轴操纵系统的设计方法,并通过数据验算和实际验证,证明了设计方法的正确性;使用结果也表明,该设计满足整车操纵轻便性的要求,达到设计出高品质中卡、适用市场需求的目的。     

上海应对“9·13”暴雨和“菲特”台风工作的反思

2013年9月13日下午和10月7日~8日因"菲特"台风引发的大暴雨在给上海城市安全运行带来严峻考验的同时,也考验着防汛部门组织各方迅速应对、及时处置的能力。针对应对过程中暴露出的问题,客观分析原因,提出对策建议。     

基于模糊神经网络的智能车辆循迹控制

为提高智能车辆自主循迹控制的精度,提出了一种基于模糊神经网络控制( FNNC)和神经网络预测( NNP)的智能循迹控制策略。转向控制器的输入量有3个：预瞄点处的横向循迹误差、汽车横摆角速度和侧向加速度。车速控制器的输入量有4个：预瞄点处的面积误差、侧向加速度、汽车侧偏角和转向盘转角。网络训练采用误差反向传播法。仿真与试验结果表明,所设计的循迹控制器通过对驾驶员操作样本的训练,能实现对车辆的车速与转向控制,横向循迹误差和目标车速均比较理想。     

加德满都环城公路拥堵解决方案研究

运用交通规划理论,重点就尼泊尔加德满都环城公路拥堵解决方案课题进行专题研究。运用交通量预测理论,在剖析、评价现有交通运输系统状况及综合运输状况,揭示其内在矛盾的基础上,提出环城公路的改扩建方案;同时通过对加德满都路网的研究分析,提出路网调整建议,从根本上解决环城公路的拥堵问题。     

客运专线多跨连续刚构桥合龙顺序顶推力对变形和桥墩应力影响研究

由于预应力连续刚构桥具有受力合理、行车平顺、施工方便和养护费用少等优点,因而在工程上被大量采用,并且向大跨径发展。大跨径连续刚构桥施工完成后,主梁的成桥线形要与设计相符,以保证营运期间主梁的受力与设计一致。在连续刚构桥合龙时需要预先对桥墩进行水平顶推,不同的合龙顺序采用不同大小的顶推力。因此,不同的合龙顺序不仅对梁体的竖向变形会产生影响,而且对桥墩的受力状态也会产生不同的影响。现以某客运专线4跨连续刚构桥为例,应用数值仿真模拟的方法,对采用不同的合龙顺序顶推水平力作用下的竖向变形和桥墩应力进行了研究探讨。其成果可为今后连续刚构施工提供相关的参数或经验。     

ANSYS/LS-DYNAD在桩基完整性检测中的应用

运用ANSYS/LS-DYNA的非线性动力有限元分析方法,选取桩基础中的完整桩进行了数值模拟,并得到了完整桩桩身应力波的传播规律及特点。验证了ANSYS/LS-DYNA这种非线性动力有限元分析方法在桩基完整性检测应用中的可行性。研究成果可为检测不同类型的桩基础完整性提供指导性意见。     

转盘项目在汽车产能扩张中的应用

近年来各汽车公司纷纷扩充产能,转盘项目是保证整车在各地工厂投产的一个重要手段。文章从项目实践经验出发,阐述了构成要素及具体的开展形式,力图为类似扩建项目提供借鉴。     

基于GT-Suite的重型载货车冷却系统仿真及匹配设计

基于GT-Suite软件建立了某重型载货车发动机冷却系统的一维-准三维混合仿真模型,通过对发动机极限工况下出水温度、出水流量等计算结果与试验值对比分析,验证了仿真模型的准确性。最后在此模型基础上对发动机冷却系统进行风扇选型匹配,实现了满足整车冷却性能要求的前提下,减小了其消耗功率,从而提高了整车经济性。