C^4ISR作战系统仿真建模方法研究

对于建设C^4ISR系统来说,系统需求工程的出发点之一应该是基于对作战的描述,同时对目前作战过程进行描述的若干方法进行分析对比,结合实际情况对作战过程描述进行讨论并给出新的切入点。文章给出了一种实现C1ISR仿真系统和实装模拟系统互联的设计方案。该方案使用基于HLA的代理联邦将分布在仿真系统网络上的各个仿真节点和实装系统连接到C^4ISR仿真系统中,并通过HLA／RTI完成仿真系统与实装系统间的交互。     

QNX4原理及其启动过程分析

介绍QNX4操作系统的架构和工作原理。并对其启动过程进行了详细分析。     

谈物流外包策略

随着信息技术的发展,新的物流服务形式不断出现,企业可以更专注于其具有竞争力的核心业务,而将其他的商业活动外包给物流服务提供商来完成。通过外包,企业可减少成本,节约投资,并不断地改善服务和技术水平。但同时,物流外包会使企业对物流活动的控制力减弱,因此在采用物流外包策略的时候必须考虑外包的成本和改变员工的观念。     

多端点不成对机车周转图模型与算法

针对不成对列车运行图编制,在考虑最优性的要求条件下,本文提出适用于多端点不成对机车周转图的实用三步算法,即,首先确定机车交路成对时部分初始解,再分别确定每一个尚未匹配到达车次初始附挂方案,最后进行结果优化．文末提供一个算例,算例证明算法有效。     

Augmented Reality Vehicle system: Left-turn maneuver study

Augmented Reality “AR” is a promising paradigm that can offer users with real-time, high-quality visualization of a wide variety of information. In AR, virtual objects are added to the real-world view in real time. The AR technology can offer a very realistic environment for enhancing drivers’ performance on the road and testing drivers’ ability to react to different road design and traffic operations scenarios. This can be achieved by adding virtual objects (people, vehicles, hazards, and other objects) to the normal view while driving an actual vehicle in a real environment. This paper explores a new Augmented Reality Vehicle “ARV” system and attempts to apply this new concept to a selected traffic engineering application namely the left-turn maneuver at two-way stop-controlled “TWSC” intersection. This TWSC intersection experiment, in addition to testing the feasibility of the application, tries to quantify the size of gaps accepted by different driver’s characteristics (age and gender). The ARV system can be installed in any vehicle where the driver can see the surrounding environment through a Head Mounted Display “HMD” and virtual objects are generated through a computer and added to the scene. These different environments are generated using a well defined set of scenarios. The results from this study supported the feasibility and validity of the proposed ARV system and they showed promise for this system to be used in the field-testing for the safety and operation aspects of transportation research. Results of the left-turn maneuver study revealed that participants accepted gaps in the range of 4.0-9.0 s. This finding implies that all gaps below 4 s are rejected and all gaps above 9 s are likely to be accepted. The mean value of the left-turn time was 4.67 s which is a little bit higher than reported values in the literature (4.0-4.3 s). Older drivers were found to select larger gaps to make left turns than younger drivers. The conservative driving attitude of older drivers indicates the potential presence of reduced driving ability of elderly. Drivers’ characteristics (age and gender) did not significantly affect the left-turn time. Based on the survey questions that were handed to participants, most participants indicated good level of comfort with none or small level of risk while driving the vehicle with the ARV system. None of the participants felt any kind of motion sickness and the participants’ answers indicated a good visibility and realism of the scene with overall good system fidelity.     

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services.     

Smarter and more connected: Future intelligent transportation system

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment and big data have made it easier and cheaper to collect, store, analyze, use, and disseminate multi-source data. The connected environment also introduces new approaches to flexible control and management of transportation systems in real time to improve overall system performance. Given the benefits of a connected environment, it is crucial that we understand how the current intelligent transportation system could be adapted to the connected environment.     

智能网联技术应用于混合动力汽车探析

文章简要介绍了混合动力汽车和智能网联技术的研究现状,阐明了混合动力汽车与智能网联技术相结合的意义。着重论述了在智能网联环境下混合动力汽车进行能量管理的优势以及混合动力汽车实现智能网联的技术要求,最后对未来二者的依托发展进行了展望。     

在线检验技术在重卡行业中的应用

工业2025智能智造核心之一为大规模个性化定制产品的柔性协同生产。产品的多样性、差异性给生产检验环节带来了新的课题,如何高效的检验批量差异产品。通过丰富的传感器和摄像头数据采集,系统比对、结果跟踪组成生产在线检验系统。提升了生产环节产品检验效率,保证产品质量和一致性。     

基于BIM技术的轨道交通桥梁工程量计算

为了解决轨道交通桥梁工程数量计算中存在的工程量信息传递次数多、效率不高等问题,提出一种基于结构化数据的工程量计算方式,省去了基于二维图纸进行工程量计算方式中的信息传递过程,避免了三维模型成熟度不高或信息缺失造成的数量丢失。具体做法为:采用数量项类型划分、分类计算、混合方式编码等方法,建立构件与工程数量、工程数量与清单的映射关系,可跳过图纸或模型进行工程量计算和工程量清单的输出。在智能京张BIM设计过程中,通过编写桥梁工程数量计算软件进行工程数量的计算和输出,验证了该方法的可行性。