基于运行速度的城市快速路限速值评估优化方法

城市快速路是城市跨区域出行的主要通道。对已建成城市快速路的限速值进行重新评估优化,以期提高道路的通行效率。针对当前快速路限速值评估优化过于依赖管理者主观经验,缺乏系统性和理论性的问题,基于运行速度理论,结合道路技术指标、交通安全环境和过渡段等因素,提出一种城市快速路的限速值评估优化方法。以厦门市仙岳路主线限速值评估优化项目为例,验证了限速值评估优化方法的可行性,为同类项目提供借鉴。

滨海丘陵城市内涝灾害风险评估方法优化研究

为提升滨海丘陵城市内涝风险评估方法科学性和准确性,以青岛市东部城区海泊河、李村河、张村河及沿海流域为例,基于传统层次分析法,耦合ArcGIS空间分析技术与InfoWorks ICM内涝数学模型,优化传统城市内涝风险评估方法。结果显示,在传统积水深度因子评价基础上,增加积水时间、积水流速、地形特征、城市要素等特征因子评价,利用内涝数学模型定量分析积水因子影响,通过ArcGIS技术叠加分析各类因子得到高、中、低内涝风险等级区,可准确反映不同程度内涝灾害风险空间分布特征,为制定针对性防灾减灾救灾措施提供有力支撑。

基于BIM+VR技术的客运枢纽标识系统综合评估方法

为优化客运枢纽标识系统设计,解决其指引功效评估的难题,以寻路理论为基础,利用建筑信息建模(building information modeling,BIM)技术搭建城市综合客运枢纽场景,通过虚拟现实(virtual reality,VR)技术完成虚拟现实环境下的沉浸式寻路实验,从而获取以寻路时间、转错弯次数及停驻观望次数为指标的被试寻路特征,进而采用灰色近优综合评价方法,实现基于BIM+VR技术的多指标条件下综合客运枢纽标识系统评估及优化.结果表明,标识系统设计对被试寻路行为有显著影响.相较于旧版标识系统,被试在新版标识系统环境下流线1中的寻路时间及停驻观望次数显著性降低,转错弯次数无明显差异.同时,被试在新版标识系统环境下流线2中的寻路时间及转错弯次数显著性降低,停驻观望次数无明显差异.新版标识系统近优度大于旧版标识系统,即新版标识系统综合指引功效优于旧版.研究形成以BIM+VR技术为基础、以乘客空间认知为导向的城市综合客运枢纽标识系统一般性评估方法,为其他封闭空间标识系统优化设计研究提供基础.

两级系统多学科可靠性设计合成优化方法

针对大规模的不确定性多学科系统,提出了一种基于BLISS方法的两级系统多学科可靠性设计合成优化方法——RBMDOSB。该方法采用了SORA方法的框架,将可靠性分析和多学科设计优化分离开来,分为可靠性分析和确定性多学科设计优化两个问题顺序执行,其中,具体使用基于多学科模型的性能评估法进行可靠性分析,应用BLISS方法进行确定性多学科设计优化问题求解,并添加与耦合变量相关的移动量来对多学科设计优化问题的约束进行修正。最后通过具体算例验证了RBM-DOSB方法的可行性和有效性。

我国企业并购中评估方法的选择和运用探析

评估工作已成为企业并购中的一项非常重要的环节。本文分别简单介绍了企业并购资产评估的三种方法:成本法、市场法和收益法。并在此基础上分析企业并购应如何灵活选择和运用这些评估方法。最后提出了优化国内评估方法,灵活运用外部环境的要求。

轻型飞机环境控制系统方案评估

环境控制系统方案的选择,关系到系统在工程实施阶段的质量和效益,因此方案的评价尤为重要。该文根据工程实际对现有的飞机性能代偿损失评估方法进行优化,并将优化前后的方法对比应用到某轻型飞机空气循环系统、蒸发循环系统及电动环控系统的方案评估中,消除原方法带来的评估偏差,探索出轻型飞机环境控制系统设计阶段方案的选择方向。

Cooperative task allocation for heterogeneous multi-UAV using multi-objective optimization algorithm

The application of multiple UAVs in complicated tasks has been widely explored in recent years.Due to the advantages of flexibility,cheapness and consistence,the performance of heterogeneous multi-UAVs with proper cooperative task allocation is superior to over the single UAV.Accordingly,several constraints should be satisfied to realize the efficient cooperation,such as special time-window,variant equipment,specified execution sequence.Hence,a proper task allocation in UAVs is the crucial point for the final success.The task allocation problem of the heterogeneous UAVs can be formulated as a multi-objective optimization problem coupled with the UAV dynamics.To this end,a multi-layer encoding strategy and a constraint scheduling method are designed to handle the critical logical and physical constraints.In addition,four optimization objectives:completion time,target reward,UAV damage,and total range,are introduced to evaluate various allocation plans.Subsequently,to efficiently solve the multi-objective optimization problem,an improved multi-objective quantum-behaved particle swarm optimization(IMOQPSO)algorithm is proposed.During this algorithm,a modified solution evaluation method is designed to guide algorithmic evolution;both the convergence and distribution of particles are considered comprehensively;and boundary solutions which may produce some special allocation plans are preserved.Moreover,adaptive parameter control and mixed update mechanism are also introduced in this algorithm.Finally,both the proposed model and algorithm are verified by simulation experiments.

Layout Design-Based Research on Optimization and Assessment Method for Shipbuilding Workshop

The research study proposes to examine a three-dimensional visualization program, emphasizing on improving genetic algorithms through the optimization of a layout design-based standard and discrete shipbuilding workshop. By utilizing a steel processing workshop as an example, the principle of minimum logistic costs will be implemented to obtain an ideological equipment layout, and a mathematical model. The objectiveness is to minimize the total necessary distance traveled between machines. An improved control operator is implemented to improve the iterative efficiency of the genetic algorithm, and yield relevant parameters. The Computer Aided Tri-Dimensional Interface Application （CATIA） software is applied to establish the manufacturing resource base and parametric model of the steel processing workshop. Based on the results of optimized planar logistics, a visual parametric model of the steel processing workshop is constructed, and qualitative and quantitative adjustments then are applied to the model. The method for evaluating the results of the layout is subsequently established through the utilization of AHP. In order to provide a mode of reference to the optimization and layout of the digitalized production workshop, the optimized discrete production workshop will possess a certain level of practical significance.

Safety Evaluation Method of Evacuation Routes in Areas in Case of Earthquake Disasters Using Ant Optimization Algorithm and Geographic Information Systems

The present study aims to propose the method for the quantitative evaluation of safety concerning evacuation routes in case of earthquake disasters in urban areas using ACO （Ant Colony Optimization） algorithm and GIS （Geographic Information Systems）. Regarding the safety evaluation method, firstly, the similarity in safety was focused on while taking into consideration road blockage probability, and after classifying roads by means of the hierarchical cluster analysis, the congestion rates of evacuation routes using ACO simulations were estimated. Based on these results, the multiple evacuation routes extracted were visualized on digital maps by means of GIS, and its safety was evaluated. Furthermore, the selection of safe evacuation routes between evacuation sites, for cases when the possibility of large-scale evacuation after an earthquake disaster is high, is made possible. As the safety evaluation method is based on public information, by obtaining the same geographic information as the present study, it is effective in other areas regardless of whether the information is of the past and future. Therefore, in addition to spatial reproducibility, the safety evaluation method also has high temporal reproducibility. Because safety evaluations are conducted on evacuation routes based on quantified data, highly safe evacuation routes that are selected have been quantitatively evaluated, and thus serve as an effective indicator when selecting evacuation routes.