Experiment of boundedly rational route choice behavior and the model under satisficing rule

In this paper, we study the boundedly rational route choice behavior under the Simon’s satisficing rule. A laboratory experiment was carried out to verify the participants’ boundedly rational route choice behavior. By introducing the concept of aspiration level which is specific to each person, we develop a novel model of the problem in a parallel-link network and investigate the properties of the boundedly rational user equilibrium (BRUE) state. Conditions for ensuring the existence and uniqueness of the BRUE solution are derived. A solution method is proposed to find the unique BRUE state. Extensions to general networks are conducted. Numerical examples are presented to demonstrate the theoretical analyses.     

舰载直升机应召搜索时使用特种浮标问题研究

在使用声纳浮标搜索时,水声环境对搜索效能影响很大,通过布设特种浮标可以测得当面海区水声环境,确定浮标工作深度和作用距离。分析了舰载直升机布设特种浮标的方法和布设模型,针对布设时存在的问题提出了改进对策,为舰载直升机应召搜索时使用特种浮标提供参考。     

浅析遇险渔业船舶救助现状及建议

目前,渔业船舶已经成为我国海上搜救工作中的一支重要力量,但发生海难事故的渔业船舶自身的救助成功率却偏低。文中试结合近几年渔业遇险船舶搜救的大量案例,分析影响渔业船舶救助成功率的几大主要原因,并对如何提高渔业遇险船舶救助成功率提出了若干建议。     

船用柴油机应对IMO Tier Ⅲ排放法规的路线选择

首先对比了国内外柴油机的排放水平现状,然后对船用柴油机NOX减排技术进行了介绍,并从成熟度和经济性方面,对其中能够满足IMO Tier III排放法规的EGR、SCR以及DF技术进行了对比分析,最后从短期和长期两方面,对我国船用柴油机排放控制技术路线的选择进行了探讨,并给出了相关建议。     

长丰县城乡公交需求和现状一体化分析

为了进一步加强城乡经济社会的协调发展,同时缩短城乡差距,加强综合交通网络,并提高城市和农村地区的综合交通运输网络,城乡公交一体化便是公共交通的主流发展。文章在深入安徽省合肥市长丰县实地调研的基础上,探究了长丰县公交一体化的发展状况,为长丰经济发展助力。     

城市区域物流无人机路径规划

针对城市区域物流无人机路径规划问题，采用栅格法进行环境建模，综合考虑无人机性能、任务性质和城市环境等影响要素，以航程、高度变化和危险度最小为目标函数，构建多约束物流无人机路径规划模型.改进A*(A-star)算法求解：为合理预估距离，采用欧氏距离与曼哈顿距离线性组合的方式设计启发函数；为提高搜索效率，引入双向搜索策略；为保证平稳飞行，采用B样条(B-spline)法进行路径优化.结果表明：模型可以实现多目标优化，具有有效性；算法与传统A*算法相比，规划时间少，规划路径航程短，高度变化少，飞行安全稳定.分析参数权重值得出：当3个子目标代价权重系数分别为0.4、0.1和0.5，2种距离权重系数分别为0.15和0.85时，规划路径最优.     

铁路站场最优进路研究

本文介绍了计算机联锁进路搜索的现状以及基于图论理论建立的铁路站场控制的图模型，阐述了通过最短路原理实现的铁路站场最优进路控制的方法。     

水声网络探测节点的一种运动目标参数估计算法

文章提出了一种水声网络探测节点的运动目标参数估计方法,即基于模型匹配原理的估计算法。给出了算法的原理和仿真分析。     

Sampling of alternatives for route choice modeling

This paper presents a new paradigm for choice set generation in the context of route choice model estimation. We assume that the choice sets contain all paths connecting each origin–destination pair. Although this is behaviorally questionable, we make this assumption in order to avoid bias in the econometric model. These sets are in general impossible to generate explicitly. Therefore, we propose an importance sampling approach to generate subsets of paths suitable for model estimation. Using only a subset of alternatives requires the path utilities to be corrected according to the sampling protocol in order to obtain unbiased parameter estimates. We derive such a sampling correction for the proposed algorithm.Estimating models based on samples of alternatives is straightforward for some types of models, in particular the multinomial logit (MNL) model. In order to apply MNL for route choice, the utilities should also be corrected to account for the correlation using, for instance, a path size (PS) formulation. We argue that the PS attribute should be computed based on the full choice set. Again, this is not feasible in general, and we propose a new version of the PS attribute derived from the sampling protocol, called Expanded PS.Numerical results based on synthetic data show that models including a sampling correction are remarkably better than the ones that do not. Moreover, the Expanded PS shows good results and outperforms models with the original PS formulation.     

异步电机效率优化算法设计

针对异步电机效率优化问题，提出混合在线式直流最小功率模糊搜索效率优化控制算法（FLSC）。算法利用损耗模型控制（LMC）的研究成果，设计新型比例因子提取策略，可以实时在线获得电机各稳态工况下FLSC输入和输出变量的比例因子，预先规划了算法搜索控制的方向，保证了算法的快速收敛性。根据异步电机的特性及先期的综合实验数据分析，对模糊控制用模糊集合及其隶属度函数进行系统化设计，对输入变量的ZE模糊集进行梯形隶属度函数设计，对输出变量进行正负不对称隶属度函数设计，从而解决了系统在效率最优点处的振荡问题。对小功率异步电机系统的计算机仿真及台架实验表明：针对异步电机的轻载运行工况，FLSC算法能显著提高异步电机系统的控制性能；对于异步电机转子电阻参数变化的工况也具有很好的鲁棒性。