Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment

This paper develops a framework for modeling dynamic choice based on a theory of reinforcement learning and adaptation. According to this theory, individuals develop and continuously adapt choice rules while interacting with their environment. The proposed model framework specifies required components of learning systems including a reward function, incremental action value functions, and action selection methods. Furthermore, the system incorporates an incremental induction method that identifies relevant states based on reward distributions received in the past. The system assumes multi-stage decision making in potentially very large condition spaces and can deal with stochastic, non-stationary, and discontinuous reward functions. A hypothetical case is considered that combines route, destination, and mode choice for an activity under time-varying conditions of the activity schedule and road congestion probabilities. As it turns out, the system is quite robust for parameter settings and has good face validity. We therefore argue that it provides a useful and comprehensive framework for modeling learning and adaptation in the area of activity-travel choice.     

石安高速公路薄层罩面的级配选择

针对薄层罩面的特点，介绍了石安高速公路罩面沥青混合料级配的选择方法。     

大跨径斜拉桥空气动力稳定性的参数研究

运用多模态颤振的有限元分析方法，分别从边主跨比、塔高与主跨的比值、桥塔型式以及边跨辅助墩的设置等参数着手，对主跨500m的荆沙长江大桥进行了空气动力稳定性的参数分析，并给出了影响大跨径斜拉桥空气动力稳定性的主要参数。     

Mixed RP/SP models incorporating interaction effects

In order to analyse the impact of a new train service in Cagliari (Italy) a databank including information from a revealed preference (RP) and a stated preference (SP) survey was set up. The RP data concern choice between car, bus and train; the SP data consider the binary choice between a new train service (quicker, more frequent, with a lower fare and more stations than the current one) and the alternative currently chosen by car and bus users. Logit models allowing for correlation among RP alternatives were estimated for this mixed RP/SP data set using the artificial tree structure method. The analysis included level-of-service variables measured with an unusually high level of precision, latent or second order variables (such as comfort), inertia and interaction variables. Different specifications of the utility function were tested, including the expenditure rate model, and the effects of these specifications on modelling results are highlighted. Our results show that for a population mainly composed of fixed income workers, the expenditure rate model is superior to the traditional wage rate model, yielding lower and more significant subjective values of time. Moreover, we found that the non-linear specifications appear to be more suitable as not only better model results were obtained, but also the real distribution of the error terms was revealed (i.e. highlighting correlation among public transport options).     

基于SolidWorks二次开发技术的机车车辆车轴参数化设计

为适应现代技术发展及产品快速更新的要求,研究了SolidWorks操作平台下,利用VC++语言进行二次开发,结合机车车辆车轴自身特点,完成用户界面设计及参数驱动法实现车轴参数化特征建模,生成了一套具有车轴参数库模块的参数化建模插件.结果显示可以加快设计过程,提高设计质量和效率.     

Partnering项目合作伙伴选择的群组决策方法

针对Partnering项目合作伙伴选择决策问题,在构建Partnering合作伙伴选择的多属性评价指标体系的基础上,提出基于熵权和特征值法的群组决策模型.基于决策者决策矩阵信息,引入熵权理论进行数据挖掘,确定群体决策者属性权重;将群体决策者对合作伙伴多属性决策的集结值组成矩阵,采用特征值法确定最优决策者的评分向量.通...     

异型楼梯的内力分析

结合广东省某铁路旅客站房内部异型旋转楼梯的特殊布置,楼梯平面布局呈“直线段＋圆弧线＋直线段”的设计情况,充分利用空间力学原理,通过对杆件内力分析,寻求一种较为精确计算空间结构杆件内力的分析方法和思路.     

基于模糊综合评价模型的铁路危险货物运输路线选择方法研究

影响铁路危险货物安全运输路线选择的因素涉及管理、环境及设备等方面。基于模糊综合评价模型的铁路危险货物运输路线选择模型及算例分析可定量分析路线选择问题提供决策依据。     

Consumer preferences for alternative fuel vehicles: A discrete choice analysis

This paper analyzes the potential demand for privately used alternative fuel vehicles using German stated preference discrete choice data. By applying a mixed logit model, we find that the most sensitive group for the adoption of alternative fuel vehicles embraces younger, well-educated, and environmentally aware car buyers, who have the possibility to plug-in their car at home, and undertake numerous urban trips. Moreover, many households are willing to pay considerable amounts for greater fuel economy and emission reduction, improved driving range and charging infrastructure, as well as for enjoying vehicle tax exemptions and free parking or bus lane access. The scenario results suggest that conventional vehicles will maintain their dominance in the market. Finally, an increase in the battery electric vehicles’ range to a level comparable with all other vehicles has the same impact as a multiple measures policy intervention package.     

基于CATIA的客车推拉窗玻璃参数化三维设计

介绍一种在CATIA中进行客车内置式推拉侧窗玻璃的参数化三维设计方法,实现通过输入变量参数值快速得到目标模型的功能。