基于移动导航数据的信号配时反推

在交通管理和评价时,信号配时对监测评价路口运行状态,评价路口配时方案至关重要.但是,大范围的实时信号配时方案的获取尚缺乏简明有效的途径.本文提出两种基于移动导航数据计算固定配时路口信号配时的方法.第一种方法是在不考虑驾驶员驾驶行为差异性时,得到路口红灯和车均延误的关系模型,从而计算某相位的红灯时长.另外一种方法是基于车辆通过停止线的时间,结合本文提出的上升梯度法,得到某阶段红灯时长.本文通过实际的路口案例计算,将预测结果和已知路口的信号配时比较,表明此方法计算得到的红绿灯时长准确度较高,为后续进行路口运行状态和通行能力研究提供了数据支持.     

The impact of muddy bottoms in ports

Ports are drivers of regional and of countries’ economic development. Most ports are built close to coastlines, where waters are shallower and tend to suffer from deposit sedimentation processes, which reduce depths in operational areas. In presence of shallow waters and sedimentation, ports must decide whether to dredge or not, where both decisions have significant impacts on ports’ annual incomes. Nevertheless, there are seabeds, namely muddy bottoms, in which vessels can navigate with a safety degree. This paper aims at investigating the extent to which the theoretical knowledge of vessel’s control in muddy waters is valid at a certain nautical bottom, as defined by the Permanent International Association of Navigation Congresses (since 2009 the World Association for Waterborne Transport Infrastructure but the acronym stays PIANC) and its impact on port economics. To achieve the proposed objective, an email survey was sent to worldwide pilots that manoeuvre ships in muddy waters. The survey validated the theoretical knowledge, showed that navigation in muddy waters is possible, that it can contribute to reduce ports’ operational costs, and that the subject can be rather controversial.     

油田注水管道的腐蚀研究与缓蚀剂评价

油田注水管线所输送介质复杂,腐蚀现象严重,存在安全隐患,一旦因腐蚀泄漏就会造成巨大的经济损失。因此,开展油田注水管道的腐蚀研究及采取措施减缓腐蚀具有重要意义。为此,对某油田注水管道现场采集注入水样及腐蚀产物,通过X-射线衍射及X-射线能谱仪进行分析,分析结果表明腐蚀产物主要是碳酸钙,同时含有一定量的氯化物、碳酸亚铁、硫化物等成分。通过电镜扫描腐蚀产物的微观形貌,发现存在氯离子腐蚀。并通过ICP-OES分析输送介质组分,针对其腐蚀特点及输送介质组分,采用失重法及电化学方法评价了引入季铵盐的咪唑啉缓蚀剂HJD2最佳质量分数及缓蚀机理,实验结果表明该缓蚀剂对该注水管道具有较好的缓蚀作用,在现场注水温度下,最佳质量分数(0.06%)时的缓蚀效率为95.1%,通过注入该缓蚀剂可以有效地减缓该注水管线的腐蚀,延长管线的使用寿命。     

Urban single-lane roundabouts: A new analytical approach using multi-criteria and simultaneous multi-objective optimization of geometry design,efficiency and safety

Building safe and effective roundabouts requires optimizing traffic (operational) efficiency (TE) and traffic safety (TS) while taking into account geometric factors, traffic characteristics and local constraints. Most existing simulation-based optimization models do not simultaneously optimize all these factors. To capture the relationship among geometry, efficiency and safety, we put forward a model formulation in this paper. We present a new multi-criteria and simultaneous multi-objective optimization (MOO) model approach to optimize geometry, TE and TS of urban unsignalized single-lane roundabouts. To the best of our knowledge, this is the first model that uses the multi-criteria decision-making method known as analytic hierarchy process to evaluate and rank traffic parameters and geometric elements of urban single-lane roundabouts. The model was built based on comprehensive review of the research literature and existing roundabout simulation software, a field survey of 61 civil and traffic expert engineers in Croatia, and field studies of roundabouts in the Croatian capital city of Zagreb. We started from the basis of Kimber’s capacity model, HCM2010 serviceability model, and Maycock and Hall's accident prediction model, which we extended by adding sensitivity analysis and powerful MOO procedures of the bounded objective function method and interactive optimization. Preliminary validation of the model was achieved by identifying the optimal and most robust of three geometric alternatives (V.1-V.3) for an unsignalized single-lane roundabout in Zagreb, Croatia. The geometric parameters in variant V.1 had significantly higher values than in the existing design V.0, while approaches 1 and 3 in variant V.2 were enlarged as much as possible within allowed spatial limits and Croatian guidelines, reflecting their higher traffic demand. Sensitivity analysis indicated that variant V.2 showed the overall highest TE and TS across the entire range of traffic flow demand and pedestrian crossing flow demand at approaches. At the same time, the number of predicted traffic accidents was similar for all three variants, although it was lowest overall for V.2. The similarity in predicted accident frequency for the three variants suggests that V.2 provides the greatest safety within the predefined constraints and parameter ranges explored in our study. These preliminary results suggest that the proposed model can optimize geometry, TE and TS of urban single-lane roundabouts.     

LED灯具在高速列车照明系统中的应用

随着我国高速铁路事业的发展,旅客对车内照明环境品质的要求越来越高,在我国高速列车照明设计中广泛采用LED灯具作为光源。通过对高速动车组车载灯具与25T型列车传统车载灯具的测试对比,总结出LED灯具在发光效率等方面相对于传统灯具的优势,为高速动车组室内照明设计提供依据。     

Integrated vehicle and powertrain optimization for passenger vehicles with vehicle-infrastructure communication

This research proposes an optimal controller to improve fuel efficiency for a vehicle equipped with automatic transmission traveling on rolling terrain without the presence of a close preceding vehicle. Vehicle acceleration and transmission gear position are optimized simultaneously to achieve a better fuel efficiency. This research leverages the emerging Connected Vehicle technology and utilizes present and future information—such as real-time dynamic speed limit, vehicle speed, location and road topography—as optimization input. The optimal control is obtained using the Relaxed Pontryagin’s Minimum Principle. The benefit of the proposed optimal controller is significant compared to the regular cruise control and other eco-drive systems. It varies with the hill length, grade, and the number of available gear positions. It ranges from an increased fuel saving of 18–28% for vehicles with four-speed transmission and 25–45% for vehicles with six-speed transmission. The computational time for the optimization is 1.0–2.1 s for the four-speed vehicle and 1.8–3.9 s for the six-speed vehicle, given a 50 s optimization time horizon and 0.1 s time step. The proposed controller can potentially be used in real-time.     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.     

基于罗兰C的UUV浅海导航定位技术研究

罗兰C工作于长波波段,具有一定的海水穿透能力,为UUV的水下导航定位提供了途径。在设计并实现罗兰C全向磁天线的基础上,通过对罗兰C信号传播场分量的分析,认为水下采用磁天线接收水平磁场信号是UUV的最佳选择,在此基础上,结合场强预测的布雷默曲线和水中信号衰减规律,仿真计算了罗兰C信号在不同距离、深度上的磁场场强和水下磁天线所能感应的电压值。利用所设计的磁天线,开展了水下接收罗兰C磁信号的实验,结果表明在表层水域(深度小于5米时),UUV利用罗兰C进行定位导航是可行的。     

区域道路运输相对效率截面分析

随着区域路网的完善,其承载的道路运输业也呈现快速发展态势。在区域层面上,实现两者的良性互动,需要因地制宜,实现区域与运输业阶段性的协调决策,进而保证在全社会范围内对优化资源配置。这些分析的实现需要合适的评价方法对道路运输业投入要素与产出要素间的内在关系进行深入研究,并能对投入、产出要素进行量化控制。本文引入数据包络分析方法（Data Envelopment Analyses,简称DEA方法）,采用CCR模型（Charnes,Cooper and Rhodes Model）以各区域道路运输为决策单元;构筑各区域道路运输生产前沿面,评价各单元的相对效率,分析各要素投入的变动对产出的影响。     

导航电子地图的设计与制作

导航电子地图是智能交通和车载导航领域的重要组成部分,其设计和制作方法的好坏会直接影响到后期的可用性。对导航电子地图的设计和制作进行了详细讨论,包括数据流程设计、电子地图系统构成、数据采集与编辑方法、地图符号制作、图形显示与绘图输出等,针对交通要素介绍了电子地图要素的分层和制作方法,并对目前导航电子地图行业存在的一些问题提出了自己的看法。