A capacity maximization scheme for intersection management with automated vehicles

With the advent of connected and automated vehicle technology, in this paper, we propose an innovative intersection operation scheme named as MCross: Maximum Capacity inteRsection Operation Scheme with Signals. This new scheme maximizes intersection capacity by utilizing all lanes of a road simultaneously. Lane assignment and green durations are dynamically optimized by solving a multi-objective mixed-integer non-linear programming problem. The demand conditions under which full capacity can be achieved in MCross are derived analytically. Numerical examples show that MCross can almost double the intersection capacity (increase by as high as 99.51% in comparison to that in conventional signal operation scheme).     

中美欧日桩基承载力设计规范比较

针对中美欧日各国关于桩基设计方法的异同,在设计理论基础、单桩轴向抗压承载力、单桩抗拔承载力和水平承载力等方面进行了综合对比分析。并以工程实例为基础,计算了桩的抗压、抗拔极限承载力和折算允许值,得出中国规范安全裕度适中、水平承载力计算方法涵盖面广、可向海外推广的结论,并提出了工程设计中的关注点。     

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.     

振华启东船厂产能升级布局规划

振华启东船厂前身为成立于2007年的道达船厂,针对厂区内各功能模块之间的能力匹配问题凸显、部分设施破损、部分设施严重制约厂区生产能力的问题,通过厂区现状平面布局、工艺流程系统梳理,根据企业发展定位和关键生产要素潜能制定科学合理的规划目标,以生产设施产能分析计算分析为理论支撑,提出一套各区域产能相匹配且适应未来规模化、精益化、规范化、安全化发展的产能升级布局规划方案,达到各功能模块布局合理、生产能力匹配、生产工艺流畅、生产设施规范的目的。针对既有港区的产能升级规划,采用以定量计算为支撑的规划方法,可供类似工程参考与借鉴。     

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。     

泥浆悬浮砂粒能力分层测定试验研究

为实现泥浆悬浮砂粒能力的量化分析,提出一种分层测定方法,选取12%、15%和18%3种质量分数的试验泥浆,通过自行设计的分层取样装置进行试验研究,获取不同泥浆质量分数、沉降时间和砂粒粒径条件下的10个深度分段的砂粒质量分布,分析各参数影响下的砂粒沉降变化规律。结果表明:1)该分层测定方法可较好地获取不同深度分段的砂粒质量,弥补现有测定方法只能获取底层砂粒沉降质量的不足;2)试验所采用的3种质量分数的泥浆对0.1 mm以上粒径的砂粒悬浮能力均较差。根据砂粒沉降曲线分布特征,提出一种用于判别泥浆悬浮砂粒能力的方法,即砂粒沉降曲线越平缓,各层质量差异性越小,底层质量无明显拐点,不同沉降时间曲线越紧密,则泥浆悬浮砂粒能力越强。     

公交通行能力约束的智能调度优化模型

公交通行能力是解决城市交通拥堵问题、促进城市公共交通系统高效运行的要素之一。介绍了公交通行能力的计算要素,并针对目前我国城市由于盲目调度造成的公交系统运营效率、服务水平下降的问题,提出将公交通行能力作为约束条件对公交调度进行优化。鉴于公交企业制订调度方案时需兼顾公交服务水平和企业效益,将智能调度的目标确定为候车时间满意度、候车空间满意度、车内舒适满意度和企业满意度加权平均值最大,并给出了相应的计算方法。最后讨论了利用遗传算法对模型进行求解的过程。     

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。     

平交路口远引掉头设置方法分析

平交路口远引是解决路口流向禁限后车流转向问题的有效方法。通过对掉头地点的选址规划以及交叉口之间的协调控制进行研究,提出最佳掉头位置应满足的条件以及交叉口协调控制的相位差计算方法。通过对掉头通道通行能力的分析,提出实施掉头信号控制条件和具体实施方法。