基于气电转换的发动机缸体在线测量系统

工业计算机控制的发动机缸体测量系统是由气动测量芯轴和差压式测量回路等组成,系统采用气电转换技术,在线自动测量发动机缸孔和主轴承孔并分组打号,满足了生产现场高精度测量的要求。     

车载动态实时可视化交通信息服务系统

一种新型城市交通信息服务系统,它采用GPS接收机、数码像机、有线/无线智能传感器、辅以人工等方式完成路况信息采集,经控制中心处理后按1～3次/min频率生成全面、综合反映路况信息的实时、动态交通图,通过无线传输为公众提供实时、动态路况信息,并用全新概念的车载显示器Skipper显示路况信息,实现道路车辆均衡化、提高道路利用率。论述了其开发背景、系统构成及工作原理、核心产品开发与运用等。     

交通综合信息平台建设研究

建立一个基于GIS-T的交通综合信息平台。它能够接受、存储和处理多源异构数据．能够为各种应用子系统和公众提供良好的信息服务。同时，对平台的框架设计、功能构成以及平台实现的关键技术进行说明和分析。     

基于WebGIS车辆定位系统的设计

探讨了如何利用WebGIS技术实现在Internet环境下车辆定位中的应用,包括系统的组成、工作原理、短消息和WebGIS架构等内容,该设计方法是在微软最新的开发环境.Net和Mapinfo公司的MapX控件基础上开发实现的,详细解释了WebGIS架构和介绍了车辆定位系统的主要功能。系统的实现使用户可以直接在Internet环境下完成查询指定车辆的位置等相关信息,为智能交通的实现奠定了基础。     

锁紧气缸控制回路设计

介绍了锁紧气缸的结构、锁紧方式和几种基本的控制回路,给出了气缸两腔压力平衡状态下输入气压的关系。     

基于多旅行商问题的应急设施服务区划分模型

基于多旅行商问题，增设集散中心需求及应急服务设施资源容量约束条件，以最小化遍历区域内全部集散中心的综合旅行时间成本为优化目标，构建一种应急设施服务区划分模型，确定各应急设施的服务区范围.设计一种复合算法求解模型，首先基于P-中值选址模型的优化理念，形成初始方案；继而加入禁忌搜索算法，结合LKH求解器对模型进行迭代优化求得最优解.基于宁波市北仑区实际拓扑网络进行案例分析，验证了模型和求解方法的有效性.     

Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach

In this paper, the location of emergency service (ES) vehicles is studied on fully connected networks. Queuing theory is utilized to obtain the performance metrics of the system. An approximate queuing model the (AQM) is proposed. For the AQM, different service rate formulations are constructed. These formulations are tested with a simulation study for different approximation levels. A mathematical model is proposed to minimize the mean response time of ES systems based on AQM. In the model, multiple vehicles are allowed at a single location. The objective function of the model has no closed form expression. A genetic algorithm is constructed to solve the model. With the help of the genetic algorithm, the effect of assigning multiple vehicles on the mean response time is reported.     

The potential mitigation of CO2 emissions via modal substitution of high-speed rail for short-haul air travel from a life cycle perspective – An Australian case study

The objective of this study is to provide a strategic evaluation of the mitigation of CO₂ emissions via modal substitution of high-speed rail for short-haul air travel on the Sydney–Melbourne, Australia city-pair from a life cycle perspective. It has been demonstrated that when considering CO₂ emissions from vehicle operations, the modal shift from air to high-speed rail on this city-pair has the potential to provide a means of CO₂ mitigation. However, uncertainty exists with regard to the level of mitigation potential when considering the whole-of-life performance of the systems. Given the significant difference in the infrastructure requirements between the air mode and the high-speed rail mode, this study quantifies the life cycle CO₂ load attributable to each system and examines the effect on CO₂ mitigation potential. The study concluded that while the inclusion of the linehaul infrastructure did increase the CO₂ load associated with high-speed rail mode, it did not equate to or exceed the CO₂ load per trip as experienced by the air mode. The avoided annual life cycle CO₂ emission in the target year 2056 was 0.37 Mt representing an 18% reduction when compared to the air mode only on the city pair. In fact, the scenario comparison indicated that the substitution of high-speed rail for short-haul air travel on the city pair resulted in CO₂ emissions avoidance throughout the longitudinal period.     

放宽条件定点集结模式下编组站车辆 集结排队系统分析

集结模式决定了货车集结过程的结束条件，定点集结是一种高效率的集结方式，有利于提高运输质量.针对放宽条件定点集结模式下编组站车辆集结过程，建立离散时间批到达批服务排队模型，利用嵌入式马尔可夫链方法求得离去时刻瞬时系统集结车辆队长分布，并求得任意时刻车辆集结队长分布，在此基础上分别分析了最小编成辆数，车组大小分布，车流到达强度，服务时间间隔分布对车辆平均集结队长，集结延误时间，效率，一昼夜发送车流量等系统指标的影响.分析结果表明，各因素对车辆集结排队系统影响明显.因此，利用本文提出的模型能为编组站的精细化管理和车流组织优化提供决策参考.     

A novel approach for the modelling of air quality dynamics in underground railway stations

Indoor air quality in subterranean train stations is a concern in many places around the globe. However, due to the specificity of each case, numerous parameters of the problem remain unknown, such as the braking discs particle emission rate, the ventilation rate of the station or the complete particle size distribution of the emitted particles. In this study the problem of modelling PM₁₀ concentration evolution in relation with train traffic is hence addressed with a particle-mass conservation model which parameters are fitted using a genetic algorithm. The parameters of the model allow to reproduce the dynamics and amplitude of four field data sets from the French and Swedish underground contexts and comply with realistic bounds in terms of emissions, deposition and ventilation rate.