Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities

The goal of a network design problem (NDP) is to make optimal decisions to achieve a certain objective such as minimizing total travel time or maximizing tolls collected in the network. A critical component to NDP is how travelers make their route choices. Researchers in transportation have adopted human decision theories to describe more accurate route choice behaviors. In this paper, we review the NDP with various route choice models: the random utility model (RUM), random regret-minimization (RRM) model, bounded rationality (BR), cumulative prospect theory (CPT), the fuzzy logic model (FLM) and dynamic learning models. Moreover, we identify challenges in applying behavioral route choice models to NDP and opportunities for future research.     

The Impact of Travel Time Information on Travelers’ Learning under Uncertainty

In this work, laboratory experiment was conducted in order to evaluate the effect of feedback on decision-making under uncertainty, with and without provided information about travel times. We discuss the prediction of travelers’ response to uncertainty in two route–choice situations. In the first situation travelers are faced with a route–choice problem in which travel times are uncertain but some external information about routes’ travel times is provided. The second situation takes place in a more uncertain environment in which external information about travel times is not provided, and the travelers’ only source of information is their own experience. Experimental results are in conflict with the paradigm about traveler information systems: As a consequence of information, the propensity of travelers to minimize expected travel time is not necessarily increased. Providing travelers with static information about expected travel times reveals an increase in the heterogeneity of travelers’ choices and reduces the maximization rate.     

深孔爆破安全控制技术

在临近建筑的区域进行深孔爆破,其振动和飞石控制是爆破成败的关键。结合工程实践,采取了一些有针对性的措施,效果良好。     

“翻转课堂”热潮引发的思考

翻转课堂自实施以来,在教育领域引发大讨论,给教学带来了前所未有的变化,取得了良好的效果。本文对翻转课堂的由来及其对教学的改变进行分析,并探讨了翻转课堂实施对师生的要求,最后对我国大面积普及翻转课堂的制约因素进行了分析。     

X舵潜艇掉深挽回决策与控制方法北大核心CSCD

[目的]为了研究潜艇水下掉深时的挽回策略和控制方法,建立某X舵潜艇六自由度运动模型。[方法]首先,分析X舵的控制规律和潜艇的排水能力,采用多目标模糊控制方法,设计掉深挽回控制系统;其次,对潜艇在大深度航行时遭遇的不同程度掉深险情进行挽回操作仿真,并在控制器和挽回策略这2个方面对挽回控制进行改进;最后,对不同航速条件下的挽回能力进行比较。[结果]结果显示,在控制器方面,引入智能模糊积分环节可提高挽回效率;在挽回策略方面,采用纵倾辅助及提高航速的挽回策略可增强挽回能力。[结论]研究表明,X舵模糊控制系统配合提高航速及纵倾辅助的策略具有较好的掉深挽回效果。     

基于岗位要求的高职《汽车保险与理赔》课程信息化教学改革研究与实践

文章基于汽车保险行业岗位要求,根据《汽车保险与理赔》课程特点和教学中存在的问题进行信息化教学改革,培养学生保险销售能力、承保核保能力以及查勘定损实际处理能力.此次改革增强了学生自主学习意识,提高了学习兴趣,实现以学生为主,教师为辅的教学模式,提升教学效果.     

浅议诊断性测试在高职英语教学中的应用

诊断测试能有效地诊断出英语教学中存在的弱点,它是评价英语教学的一个有效手段。文章在介绍诊断测试概念的基础上,分析一次实际进行的诊断性测试。根据测试结果发现存在的问题并以此来改进高职荚语教学的模式。     

水手工艺课程部分项目互动教学探索与实践

介绍了互动教学模式的特点,探讨了互动教学的实施方法,指出互动教学有利于全面推进素质教育改革,培养高素质的专业人才.     

第二语言学习的认知策略分析

成功的外语学习者在学习中善于使用必要的认知策略。外语教师在外语教学中,应利用学生的主观能动性,培养学生认知策略能力,提高他们分析解决问题的能力,从而有效地促进了学生学习的内在动力,使学习主体的建构成为可能。     

建置适性化的无所不在生态教育学习环境：以内湖生态小学为例

为配合内湖生态小学户外植物生态环境,建置一套无所不在户外生态教学学习系统.本研究以内湖国小三年级学生为研究对象,实验组学生施以户外无所不在生态教学系统教学,控制组学生则以传统方式教学,在教学过程中以学习、诊断及评价三步骤来判断学生学习成效,以了解两组学生之间的学习成效差异.