基于数字化设计系统的铁路站场BIM自动化建模研究

铁路站场设计是一项复杂庞大的系统工程,应用BIM技术可集成工程项目各种相关信息,形成工程数据模型,实现项目全生命周期中动态的工程信息创建、沟通和管理。然而,当前国内外铁路站场BIM的研究尚处于起步阶段,存在着建模工作量巨大,效率较低的问题。基于此,对铁路站场BIM模型快速构建方法进行了研究,提出基于铁路站场数字化设计系统,可将设计参数信息进行数字化保存,依据参数信息高效驱动铁路站场BIM模型的构建,并对铁路站场数字化设计系统总体架构与BIM模型设计插件的程序模块与流程进行了介绍。通过开发的软件原型系统初步验证,该方法能实现铁路站场BIM模型构建在效率与质量上的双重提升。     

HX_D1C型机车司机操纵台造型优化设计

我国电力机车司机操纵台的设计在消化吸收国外的产品,但在造型设计上不够完美。文章对HXD1C型电力机车司机操纵台外观造型不够完美的地方进行了分析,从造型与设计的细节上对司机操纵台进行了优化,并提出新的替代方案。     

UML建模技术在轨道交通CTCS-3级列车控利系统测试案例生成中的应用

针对CTCS-3级列车控制系统测试案例的特点和生成过程,提出了UML建模技术在测试案例生成中的应用.说明了利用这种方法生成测试案例的优势,介绍了生成测试案例的总体思路.测试案例的生成分为两步,即功能特征的提取和基于UML建模的测试案例生成.从UML的静态建模分析和动态建模分析两个方面阐述了具体实现过程,并举例说明了UM...     

铁路站场平面CAD系统的模型设计

工程设计的模型是实现工程设计中CAD系统设计的基础和核心,就铁路站场专业平面CAD软件的开发,介绍了站场平面CAD系统的模型设计过程。     

基于键合图的车用蓄电池建模与仿真

按照键合图的规则,分别建立了蓄电池等效电路的键合图模型和冷却系统的键合图模型,然后将电系统和热系统耦合在一起,实现了蓄电池系统的键合图模型,最后建立了蓄电池的数学模型和仿真模型,并实现了动态仿真。     

车身内部布置CAD系统及其应用

介绍了自行开发的汽车车身内部布置的ＣＡＤ系统，并就系统在设计中的应用了说明。该系统是在通用图形软件基础上进行二次开发而成的，以ＳＡＥ标准，ＥＥＣ标准及为主要依据，将ＣＡＤ技术运用到车身内部布置设计中。     

柴油发电机组CAD系统的开发

主要讲述了柴油发电机组CAD系统的设计和实现。详细介绍了组成该系统的三大部分——电磁优化设计、机构设计、明细表的生成与汇总的设计思想和实现的关键技术：AutoCADVBA，VB与AutoCAD的连接技术，数据库技术。     

关于一、三级公路安全性认知因素的试验建模研究

在实测86处一级公路典型路段和188处三级公路典型路段道路结构基础上,确定驾驶员对国道一、三级公路的安全性认知因素集,进而针对一级公路的38处样本路段和三级公路的77处样本路段,组织47名驾驶人员进行现场认知评价试验,并应用模糊集合原理和模糊统计方法对评价试验得到的2829组(一级路673组、三级路2156组)有效认知试验评语数据进行分析处理,得到一、三级公路安全性认知因素的模糊评价隶属函数,从而给出驾驶人员对一、三级公路道路条件和交通环境的安全性模糊评价模型。     

Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations

On the grounds that individuals heavily rely on the information that they receive from their peers when evaluating adoption of a radical innovation, this paper proposes a new approach to forecast long-term adoption of connected autonomous vehicles (CAVs). The concept of resistance is employed to explain why individuals typically tend to defer the adoption of an innovation. We assume that there exists a social network among individuals through which they communicate based on certain frequencies. In addition, individuals can be subject to media advertisement based on certain frequencies. An individual’s perceptions are dynamic and change over time as the individual is exposed to advertisement and communicates with satisfied and dissatisfied adopters. We also explicitly allow willingness-to-pay (WTP) to change as a result of peer-to-peer communication. An individual decides to adopt when (i) there is a need for a new vehicles; (ii) his/her WTP is greater than CAV price; and (iii) his/her overall impression about CAVs reaches a cutoff value. Applicability of the proposed approach is shown using a survey of employees of the University of Memphis. Our results show that the automobile fleet will be near homogenous in about 2050 only if CAV prices decrease at an annual rate of 15% or 20%. We find that a 6-month pre-introduction marketing campaign may have no significant impact on adoption trend. Marketing is shown to ignite CAV diffusion but its effect is capped. CAV market share will be close to 100% only if all adopters are satisfied with their purchases; therefore, the probability that an individual becomes a satisfied adopter plays an important role in the trend of adoption. The effect of the latter probability is more pronounced as time goes by and is also more prominent when CAV price reduces at greater rates. Some caveats may be inserted when considering the study results as the findings are subject to sample bias and data limitations.     

Closed-form multiclass cell transmission model enhanced with overtaking,lane-changing,and first-in first-out properties

A novel multiclass macroscopic model is proposed in this article. In order to enhance first-in, first-out property (FIFO) and transmission function in the multiclass traffic modeling, a new multiclass cell transmission model with FIFO property (herein called FM-CTM) is extended from its prior multiclass cell transmission model (M-CTM). Also, to enhance its analytical compactness and resultant computational convenience, FM-CTM is formulated in this paper as a set of closed-form matrix equations. The objective is to improve the accuracy of traffic state estimation by enforcing FIFO property when a fast vehicle cannot overtake a slow vehicle due to a limitation of a single-lane road. Moreover, the proposed model takes into account a different priority for vehicles of each class to move forward through congested road conditions, and that makes the flow calculation independent from their free-flow speeds. Some hypothetical and real-world freeway networks with a constant or varying number of lanes are selected to verify FM-CTM by comparing with M-CTM and the conventional CTM. Observed densities of VISSIM and real-world dataset of I-80 are selected to compare with the simulated densities from the three CTMs. The numerical results show that FM-CTM outperforms the other two models by 15% of accuracy measures in most cases. Therefore, the proposed model is expected to be well applicable to the road network with a mixed traffic and varying number of lanes.