安全财政收费系统设计的关键技术

阐述了一个财政收费系统架构,提出了安全财政收费系统的概念,并给出其需要达到的技术性能,同时给出了现代软件工程方法如何应用到实际项目中的一个范例,并归纳了开发中碰到的关键问题和解决方案.     

混合能源控制技术及应用

本文介绍了混合能源控制器的功能和特点,以及多种能源混合供电的工作流程,并对混合能源的典型应用场景进行分析说明.     

基于CBTC控制的全自动驾驶系统

主要介绍全自动驾驶(FAO)系统的发展和应用情况、系统的组成和特点,并提出引进采用该系统需要注意的问题。     

地理信息技术在地铁工程地质勘察中的应用

介绍广州地铁建设城市工程地质数据库的作法。以地理空间为背景,采用地理信息系统（GIS）的海量数据处理技术,把不同时期、不同单位完成的处于分散、互不相关的工程地质资料数据（可视为二维、三维空间数据）建立起相互关系,并以一定的格式输入、存储,可随时可查阅、检索及调用这些资料数据。     

智能新能源船舶的概念及关键技术

绿色和智能是当前船舶技术的发展趋势。文章首先提出了智能新能源船舶的概念,并介绍了智能新能源船舶的内涵、特点和系统构成;然后,从船舶航行、动力和推进3个方面分析了智能新能源船舶的关键技术;最后,对智能新能源船舶的未来发展进行展望。研究结果可为船舶的创新研究提供技术支持,引领船舶技术转型升级的发展方向。     

远程视频监控系统在南宁大桥缆索吊装中的运用

随着科技高速发展,远程视频监控系统用于建筑施工现场管理的技术越来越成熟,管理人员只需在可以接入互联网的地方,通过台式计算机、笔记本电脑、PDA等设备,就可以随时随地访问获取建筑工地施工现场的视频图像,并实现远程视频监控。文章介绍了远程视频监控系统在南宁大桥缆索吊装施工中的应用情况。     

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.     

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.     

构建西江现代物流体系 打造世界加工制造次中心

文章基于当前产业结构大调整背景,提出广西要在迎接产业转移的竞争中胜出,必须着力构建以西江水运为龙头的现代物流体系,从而把西江经济带打造成为与＂珠三角＂这一世界加工制造中心紧密联动的加工制造次中心。     

物联网平台下智能交通系统体系框架研究

文章以现有智能交通系统体系框架为基础,提出以结构化方法制定物联网平台下智能交通系统体系框架,并以结构化方法的基本步骤为主线,结合物联网工作原理和自主体系结构,从用户服务、逻辑框架、物理框架三方面探讨新体系框架与现有体系框架的差别。