带有改编能力限制的编组计划优化模型及算法

本文用一个非线性０－１规模模型，来描述带有改编能力限制的技术直达列车编组计划问题。能力约束增加了该问题的计算难度。这是一个ＮＰＣ问题。因此，获得一个全局最优解是困难的。本文用模拟退火算法解该问题。该算法可以以很高的概率获得全局最优解。文末列出了两个数值例子，并分别同了考虑和不考虑改编能车约束两种情况下的计算结果。     

货物列车编组计划国内外研究综述

货物列车编组计划(TFP)在铁路运输组织工作中具有非常重要的作用,其编制是一项复杂的课题。目前,在编组计划编制理论和方法研究上取得了丰硕的成果。本文从研究对象、建模方法、求解算法分别介绍国内外TFP的研究现状;在此基础上,对比并评述国内外编组计划在编制流程、构成内容和建模方法3个方面的特点;最后探讨在优化方法和优化内容上进一步研究的思路。     

Vehicle platoon formation using interpolating control: A laboratory experimental analysis

This work addresses the formation phase of automatic platooning. The objective is to optimally control the throttle of vehicles, with a given arbitrary initial condition, such that desired ground speed and inter-vehicular spacings are reached. The steering of the vehicles is also controlled, because the vehicles should track a desired path while forming the platoon. In order to address the platoon formation problem, a cooperative strategy is formed by constructing a discrete state space model which represents the dynamics of a set of n vehicles. Once this model is set, a control method known as Interpolating Control, which aims at regulating to the origin an uncertain and/or time-varying linear discrete-time system with state and control constraints, is utilized. The performance of this control method is evaluated and compared with other approaches such as Model Predictive Control (MPC).Simulations are conducted which suggest that the Interpolating Control approach can be seen as an alternative to optimization-based control schemes such as Model Predictive Control, especially for problems for which finding the optimal solution requires calculations, where the Interpolating Control approach can provide a straightforward sub-optimal solution.In the experimental part of this work, the control algorithms for the platoon formation and path tracking problems are combined, and tested in a laboratory environment, using three mobile robots equipped with wireless routers. Validation of the proposed models and control algorithms is achieved by successful experiments.     

Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles

Driving volatility captures the extent of speed variations when a vehicle is being driven. Extreme longitudinal variations signify hard acceleration or braking. Warnings and alerts given to drivers can reduce such volatility potentially improving safety, energy use, and emissions. This study develops a fundamental understanding of instantaneous driving decisions, needed for hazard anticipation and notification systems, and distinguishes normal from anomalous driving. In this study, driving task is divided into distinct yet unobserved regimes. The research issue is to characterize and quantify these regimes in typical driving cycles and the associated volatility of each regime, explore when the regimes change and the key correlates associated with each regime. Using Basic Safety Message (BSM) data from the Safety Pilot Model Deployment in Ann Arbor, Michigan, two- and three-regime Dynamic Markov switching models are estimated for several trips undertaken on various roadway types. While thousands of instrumented vehicles with vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication systems are being tested, nearly 1.4 million records of BSMs, from 184 trips undertaken by 71 instrumented vehicles are analyzed in this study. Then even more detailed analysis of 43 randomly chosen trips (N = 714,340 BSM records) that were undertaken on various roadway types is conducted. The results indicate that acceleration and deceleration are two distinct regimes, and as compared to acceleration, drivers decelerate at higher rates, and braking is significantly more volatile than acceleration. Different correlations of the two regimes with instantaneous driving contexts are explored. With a more generic three-regime model specification, the results reveal high-rate acceleration, high-rate deceleration, and cruise/constant as the three distinct regimes that characterize a typical driving cycle. Moreover, given in a high-rate regime, drivers’ on-average tend to decelerate at a higher rate than their rate of acceleration. Importantly, compared to cruise/constant regime, drivers’ instantaneous driving decisions are more volatile both in “high-rate” acceleration as well as “high-rate” deceleration regime. The study contributes to analyzing volatility in short-term driving decisions, and how changes in driving regimes can be mapped to a combination of local traffic states surrounding the vehicle.     

VVL耦合喷油策略对GDI汽油机混合气形成的影响

利用三维仿真软件Ansys Fluent建立了GDI汽油机的仿真计算模型,就变气门升程耦合不同喷油策略对缸内气流运动和混合气形成的影响进行了模拟计算。结果表明,与大气门升程工况相比,小气门升程工况的缸内湍流运动强度、燃油蒸发和湿壁情况以及点火时刻混合气质量都明显改善;在小气门升程工况,采用两段喷油会缩短油气混合时间,过度推迟二次喷油时刻会恶化混合气质量和燃油湿壁情况;在大气门升程工况,两段喷油会改善混合气均匀性,随着二次喷油时刻推迟,燃油蒸发量增加,湿壁情况加剧,混合气质量得到改善;小气门升程工况下采用二次喷油时刻为470°曲轴转角,前后两次喷油量比例为7∶3的两段喷油方案在燃油蒸发和湿壁以及点火时刻缸内混合气质量这几个方面的效果都很好,是最合理的方案。     

基于数据链的航母编队评估指标体系研究*

数据链是航母编队的中枢系统,对作战指控过程有重要作用,各作战单元与指控中心之间的情报传递与命令下达等信息均通过数据链进行传输,因此,对航母编队作战效能评估也应当建立在数据链性能指标上。论文以航母编队防空作战为例,分析了在防空作战过程中,数据链性能指标对指挥质量及效能指标的影响,建立了防空作战评估指标体系。     

水泥混凝土路面裂缝断板成因分析及对策

该文通过对水泥混凝土路面裂缝断板的成因进行分析,提出了对水泥混凝土路面裂缝及断板的预防措施,以期在混凝土路面的施工和养护方面有一定的参考意义。     

工程弃渣型坡面泥石流形成过程试验

从试验模型、试验材料、试验装置及测试内容等方面制定了工程弃渣型坡面泥石流试验方案,拟定了模型试验过程,降雨历时16-18 h,其中0～13h属于前期降雨阶段,降雨强度控制在6.8 mm/( 10 min),分4次完成,每次降1h,停2h;13h以后属于短历时强降雨阶段,降雨强度控制在16.7 mm/(10 min);分...     

海南北部老粘性土工程地质性质研究

海南岛北部沿海广泛分布老粘性土层,该土层埋藏适中、分布稳定,但常规勘察手段难以客观全面地揭示其工程地质性质.结合海南马村港口工程项目,综合分析该老粘性土层的时代成因、微观结构、化学成分及其物理力学性质,客观全面地揭示该土层的工程地质性质,为港口建设提供地质依据.     

舰艇编队无线自组网建模分析研究

路由协议是自组网的关键技术.路由协议的设计和性能评估都要涉及到一些基本的网络参数.本文结合舰艇编队无线通信网络实际,对编队无线自组网进行了合理假设,运用马氏链建模的方法对这一问题进行了研究,推导了任意节点相邻概率和邻居数的计算公式,实现了路由协议性能研究中涉及到的一些基本网络参数的定量处理.最后结合海军战斗群的典型应用进行了实例计算.文章基于马氏链建模所得到的结论,为军用无线自组网的理论分析提供了依据,对编队无线自组网的工程实践具有一定的指导意义.