Cost scaling based successive approximation algorithm for the traffic assignment problem

This paper presents a cost scaling based successive approximation algorithm, called ε-BA (ε-optimal bush algorithm), to solve the user equilibrium traffic assignment problem by successively refining ε-optimal flows. As ε reduces to zero, the user equilibrium solution is reached. The proposed method is a variant of bush-based algorithms, and also a variant of the min-mean cycle algorithm to solve the min-cost flow by successive approximation. In ε-BA, the restricted master problem, implying traffic equilibration restricted on a bush, is solved to ε-optimality by cost scaling before bush reconstruction. We show that ε-BA can reduce the number of flow operations substantially in contrast to Dial’s Algorithm B, as the former operates flows on a set of deliberately selected cycles whose mean values are sufficiently small. Further, the bushes can be constructed effectively even if the restricted master problem is not solved to a high level of convergence, by leveraging the ε-optimality condition. As a result, the algorithm can solve a highly precise solution with faster convergence on large-scale networks compared to our implementation of Dial’s Algorithm B.     

A new model for temporal–spatial stochastic analysis of vehicle–track coupled systems

The vehicle–track coupled system has a random nature in the time–space domain. This paper proposes a computational model to analyse the temporal–spatial stochastic vibrations of vehicle–track systems, where the vehicle–track system is divided into a vehicle subsystem, track subsystem, and interfacial subsystem between the wheel and rail. In this model, the time-varying randomicity of dynamical parameters of the vehicle system, correlation, and randomness of the track structural parameters in the time–space joint dimensions, and randomness of the track random irregularities are considered. A probability dimension-reduction method was used to randomly combine different random variables. Furthermore, the probability density evolution method was applied to solve the delivery problem of probabilities between excitation inputs and response outputs. The temporal–spatial stochastic vibrations of the vehicle–track system with different coefficients of variation were studied, in which we assumed that the dynamic parameters obeyed the normal distribution, and the stochastic simulation method of the track random irregularities is probed into. The calculated results from this model are consistent with the actual measured results and physical conceptions. Thus, the temporal–spatial stochastic evolutionary mechanism can be explored, and the limits of dynamic indices can be formulated by using this developed model.     

Direct yaw moment control and power consumption of in-wheel motor vehicle in steady-state turning

Driving force distribution control is one of the characteristic performance aspects of in-wheel motor vehicles and various methods have been developed to control direct yaw moment while turning. However, while these controls significantly enhance vehicle dynamic performance, the additional power required to control vehicle motion still remains to be clarified. This paper constructed new formulae of the mechanism by which direct yaw moment alters the cornering resistance and mechanical power of all wheels based on a simple bicycle model, including the electric loss of the motors and the inverters. These formulation results were validated by an actual test vehicle equipped with in-wheel motors in steady-state turning. The validated theory was also applied to a comparison of several different driving force distribution mechanisms from the standpoint of innate mechanical power.     

Insights into vehicle trajectories at the handling limits: analysing open data from race car drivers

Race car drivers can offer insights into vehicle control during extreme manoeuvres; however, little data from race teams is publicly available for analysis. The Revs Program at Stanford has built a collection of vehicle dynamics data acquired from vintage race cars during live racing events with the intent of making this database publicly available for future analysis. This paper discusses the data acquisition, post-processing, and storage methods used to generate the database. An analysis of available data quantifies the repeatability of professional race car driver performance by examining the statistical dispersion of their driven paths. Certain map features, such as sections with high path curvature, consistently corresponded to local minima in path dispersion, quantifying the qualitative concept that drivers anchor their racing lines at specific locations around the track. A case study explores how two professional drivers employ distinct driving styles to achieve similar lap times, supporting the idea that driving at the limits allows a family of solutions in terms of paths and speed that can be adapted based on specific spatial, temporal, or other constraints and objectives.     

冷铺沥青材料的特性与配制技术

用冷铺沥青混合料修补路面坑洞,具有方便、快捷等优点.为保证其疏松性和压实性,在配制方法上,如所用沥青的粘度、沥青的用量、添加剂以及集料级配等,与热拌沥青混合料都有很大区别.实践表明,所研制开发的冷铺材料使用性能良好,而成本却比同类进口材料大大降低.     

汽车轻量化开展流程及方法研究

虽然国内汽车轻量化技术有了较快的发展,但在系统性开展轻量化工作的流程和方法上依然在摸索中前进.本文通过研究国内外轻量化开展现状,初步搭建了整车轻量化开展流程,制定出一套完整的重量管控流程,尝试提出了整车轻量化新的评价方法,努力推动建立一套规范的、切实可行的轻量化工作流程体系,以促进汽车主机厂降重节能减排的顺利实施以及轻...     

气垫船的回顾与展望

回顾了中国船舶及海洋工程设计研究院（MARIC）40年来在气垫船、研究方面所取得的主要成就,分析了该类高性能船舶的市场需求,并提出了未来研究和发展的初步构想。     

层次分析法在运载器系统中应用研究

该文应用层次分析法研究水下运载器各子系统或部件对总体性能重要程度,在对运载器进行层次结构建模基础上,根据表征各元素间看要性关系,形成单一准则下判断矩阵,构造系统的加权超矩阵,得到系统的极限相对排序（LIP）,最后给出了部分计算分析结果。     

纯电动物流车电动空气压缩机布置方案研究

电动空气压缩机为纯电动物流车提供压缩气源,以供整车制动及辅助用气装置的使用.文章基于整车性能的受影响程度进行电动空气压缩机布置的多方案分析,从多个维度进行客观评价,选取适合于整车的最优方案.此方法亦可用作其他关键件的布置校核.     

汽车电动真空泵设计及应用

电动真空泵是电动汽车真空制动系统重要的零件,该文介绍电动真空泵的结构、工作原理,以及电动真空泵的三个重要性能;通过真空制动系统对真空源的需求,探讨电动真空泵的选型和整车布置。