Fractional-order-based ACC/CACC algorithm for improving string stability

Traffic flow optimization and driver comfort enhancement are the main contributions of an Adaptive Cruise Control (ACC) system. If communication links are added, more safety and shorter gaps can be reached performing a Cooperative-ACC (CACC). Although shortening the inter-vehicular distances directly improves traffic flow, it can cause string unstable behavior. This paper presents fractional-order-based control algorithms to enhance the car-following and string stability performance for both ACC and CACC vehicle strings, including communication temporal delay effects. The proposed controller is compared with state-of-the-art implementations, exhibiting better performance. Simulation and real experiments have been conducted for validating the approach.     

Investigating Causal Pathways Linking Site-Level Characteristics,Compliance, and Ecological Performance in Caribbean MPAs

A rapidly growing body of empirical evidence has linked improved ecological performance of social–ecological systems (SES) with better compliance with rules governing human activities. Researchers have proposed several key factors that motivate an individual to comply with resource use rules, including deterrence, social pressures, moral inclinations, and perceived legitimacy of rules and responsible authorities. Much of the research on compliance proposes causal mechanisms at the individual human level, but few studies test causal paths with empirical data particularly at the site level. This study tested a proposed pathway for explaining overall compliance rates and ecological performance in SES using data from structured surveys of community members, key informant interviews, policy documents, and coral reef surveys at marine protected areas (MPAs) and their associated human communities in the wider Caribbean. Findings indicate that compliance and other active MPA management interventions positively affect ecological performance, and site-level contextual factors (level of community development and being part of a political network) positively influence significant predictors of overall compliance rates, which include active MPA management and enforced punishments.     

Do cooperative systems make drivers’ car-following behavior safer?

The main goal of in-vehicle technologies and co-operative services is to reduce congestion and increase traffic safety. This is achieved by alerting drivers on risky traffic conditions ahead of them and by exchanging traffic and safety related information for the particular road segment with nearby vehicles. Road capacity, level of service, safety, and air pollution are impacted to a large extent by car-following behavior of drivers. Car-following behavior is an essential component of micro-simulation models. This paper investigates the impact of an infrastructure-to-vehicle (I2V) co-operative system on drivers’ car-following behavior. Test drivers in this experiment drove an instrumented vehicle with and without the system. Collected trajectory data of the subject vehicle and the vehicle in front, as well as socio-demographic characteristics of the test drivers were used to estimate car-following models capturing their driving behavior with and without the I2V system. The results show that the co-operative system harmonized the behavior of drivers and reduced the range of acceleration and deceleration differences among them. The observed impact of the system was largest on the older group of drivers.     

A receding horizon sliding control approach for electric powertrains with backlash and flexible half-shafts

Active control of electric powertrains is challenging, due to the fact that backlash and structural flexibility in transmission components can cause severe performance degradation or even instability of the control system. Furthermore, high impact forces in transmissions reduce driving comfort and possibly lead to damage of the mechanical elements in contact. In this paper, a nonlinear electric powertrain is modelled as a piecewise affine (PWA) system. The novel receding horizon sliding control (RHSC) idea is extended to constrained PWA systems and utilised to systematically address the active control problem for electric powertrains. Simulations are conducted in Matlab/Simulink in conjunction with the high fidelity Carsim software. RHSC shows superior jerk suppression and target wheel speed tracking performance as well as reduced computational cost over classical model predictive control (MPC). This indicates the newly proposed RHSC is an effective method to address the active control problem for electric powertrains.     

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.     

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飞机多机种出动架次率是衡量飞机作战效能的重要指标,本文对空军场站军用飞机多机种（型）出动架次率进行了研究。通过对飞机出动回收过程的描述,基于排队理论建立多服务器多服务率的飞机多机种（型）出动回收网络模型,并采用扩展后的平均值分析对飞机出动能力进行了求解。通过解析计算,给出飞机多机种（型）出动架次率曲线,分析架次率与飞机数量之间的关系,并结合平均队长、利用率等系统性能指标,识别出制约飞机多机种（型）出动架次率提高的因素。最后通过蒙特卡洛仿真对构建的回收网络模型的计算结果进行验证。验证结果表明,飞机多机种（型）出动网络模型及其算法适合应用于实践中,并且有助于对空军场站飞机多机种（型）出动能力的研究。     

基于名义应力法的动车组车体净水箱吊装部件疲劳强度分析

针对高速运行动车组车体悬挂设备振动疲劳损伤问题,以某型动车组车顶净水箱吊装结构为研究对象,采用名义应力法对吊装结构的焊缝部位进行疲劳强度评估.根据EN 12663标准确定净水箱的工作载荷工况,采用有限元法计算了各工况下结构的振动响应,并基于BS标准计算了焊缝疲劳评估点的寿命.假定各载荷工况出现频率相同的情况下,构造了工作载荷历程,采用Fe-safe软件对焊缝的疲劳寿命进行了仿真分析.两种方法分析结果均表明:焊缝1与焊缝2寿命最低,是结构最易发生疲劳破坏的位置;焊缝位于筋板表面的焊趾寿命低于位于主支撑板表面的焊趾寿命.     

城市交通状态的空间依赖性和异质性分析

有关城市交通状态空间特征的研究相对匮乏。从空间角度分析城市宏观交通特征,首先,针对城市路网几何形态和交通数据的关系提出适合于城市交通数据分析的空间模型。然后,以从长期的浮动车数据中提取的路段行程速度作为描述交通状态的实验数据,分别采用空间自相关和核密度估计法定量分析路网行程速度的空间依赖性和空间异质性,并分析其在典型时段的空间分布特征。结果显示:城市交通状态的关联性在空间上随着路段间距的增长而衰减;城市交通状态的空间分布特征随时间变化,受路网结构和区域功能的影响在空间中呈现集聚特征。     

水管路系统低噪声配置研究

管路系统的水力功能和振动噪声性能相互影响皆为设计目标。舰船领域中冷却水管路系统长期开启,管路系统振动及船外辐射噪声受到关注。为实现船外辐射噪声的控制,有必要建立水力和声学的协调设计技术。文章以低噪声配置原则为管路系统设计指导,基于复杂水力管网计算方法进行管系合理配置,基于管系等效水梁及管系—船体声固耦合整体建模方法进行振动及船外辐射噪声计算评估,形成了水力与声学协调的管路系统低噪声配置技术流程。以典型冷却水管路系统为对象,初步测试验证了配置原则和计算方法。     

宽带低剖面微带滤波器天线设计

论文设计了一种具有全向辐射特性的宽带低剖面微带滤波器天线。利用作为导纳变换器的耦合线,连接微带天线和滤波器的第二个谐振器。在该设计中,微带天线不仅是辐射器也是带通滤波器的最后一阶谐振器。因此,减少了滤波器与天线之间的传输损耗。该天线具有25%的阻抗带宽,3.5mm厚的低剖面,全向辐射方向图和高的带外抑制度。