Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses

Monitoring pedestrian and cyclists movement is an important area of research in transport, crowd safety, urban design and human behaviour assessment areas. Media Access Control (MAC) address data has been recently used as potential information for extracting features from people’s movement. MAC addresses are unique identifiers of WiFi and Bluetooth wireless technologies in smart electronics devices such as mobile phones, laptops and tablets. The unique number of each WiFi and Bluetooth MAC address can be captured and stored by MAC address scanners. MAC addresses data in fact allows for unannounced, non-participatory, and tracking of people. The use of MAC data for tracking people has been focused recently for applying in mass events, shopping centres, airports, train stations, etc. In terms of travel time estimation, setting up a scanner with a big value of antenna’s gain is usually recommended for highways and main roads to track vehicle’s movements, whereas big gains can have some drawbacks in case of pedestrian and cyclists. Pedestrian and cyclists mainly move in built distinctions and city pathways where there is significant noises from other fixed WiFi and Bluetooth. Big antenna’s gains will cover wide areas that results in scanning more samples from pedestrians and cyclists’ MAC device. However, anomalies (such fixed devices) may be captured that increase the complexity and processing time of data analysis. On the other hand, small gain antennas will have lesser anomalies in the data but at the cost of lower overall sample size of pedestrian and cyclist’s data. This paper studies the effect of antenna characteristics on MAC address data in terms of travel-time estimation for pedestrians and cyclists. The results of the empirical case study compare the effects of small and big antenna gains in order to suggest optimal set up for increasing the accuracy of pedestrians and cyclists’ travel-time estimation.     

Dynamic behavior of scaled tubular K-joints subjected to impact loads

This paper examines the dynamic behavior of the tubular K-joints in offshore platforms by means of experimental and numerical studies. The structural response is studied through Falling Weight Impact Tester(FWIT) with three different falling heights. A non-direct similitude method is developed and applied to the scaled K-joint models. The experimental results, including final deformed shapes and impact force responses, are reported to be useful for further benchmark studies. The finite element models are then developed by commercial software LS-DYNA, where nonlinear material properties are considered based on the corresponding tensile tests. Good correspondence between the numerical and experimental results is achieved, and relevant sensitivity analyses of numerical results are carried out to verify the reliability of the numerical models. Finally, the influence of the strain-rate definition and the reliability of the similarity are discussed. In general, the impact response in the present study is significantly dependent on the definition of dynamic material characteristics. The results obtained from Cowper-Symonds model with constants derived from the dynamic tensile test yield a good estimation when compared with the experimental results. Besides, scaled models tend to obtain un-conservative prediction results, and the developed non-direct similitude method is appropriate for the application.     

船舶开孔梁局部屈曲的无网格MLPG分析方法

[目的]针对船舶开孔梁板易产生局部屈曲效应、受到较高的集中载荷作用会产生明显的结构响应和屈曲破坏力的问题,提出采用无网格数值方法对该类问题进行数值分析。[方法]首先,以问题域离散节点为基础建立其紧支函数,运用加权余量法建立系统位移场离散方程,并由移动最小二乘法构造离散节点的形函数,以获得位移函数的逼近函数;然后,结合经简化的屈曲评估法,将屈曲方程特征值求解进行降阶处理,得到更为精确的屈曲载荷因子;最后,进行算例演示,比较所提方法和传统计算方法并进行验证。[结果]结果显示,所提方法有效,其结果与原结构有着更高的契合度。[结论]针对开孔板梁的无网格法数值分析特性可为分析各种形状的蜂窝状板梁结构提供一种新的思路。     

后疫情时代国内纯电动乘用车市场发展现状

2020年国内纯电动乘用车市场在新冠肺炎、补贴退坡、各地促销政策陆续出台等多方面因素影响下先抑后扬、市场回暖,呈现出厂商竞争加剧、销售区域转变、私户占比增加、车型趋向高端化等特征。在我国碳达峰、碳中和的宏伟目标下,随着消费者环保认知的不断提升,纯电动乘用车市场将稳步发展并进一步向智能化、自动化方向转变。     

运营高铁车站黄土路基沉降特征及原因分析

针对黄土地区某高铁车站路基沉降病害问题,选取典型区域,采用PS-InSRA技术对变形区域进行监测,获取2017年2月至2019年6月的Sentinel-1A卫星影像数据并与现场勘测结果相结合,分析形变特征和趋势,以指导后续病害治理。结果表明:研究区域路基沉降主要发生在2017年5月至9月和2018年4月至8月两个时间段,春夏季沉降速率较大,秋冬季相对平稳;地基土含水率在13%~26%之间,在地下2 m和4 m为含水率增加速率临界深度,0~2 m范围内的含水率增加较快,2~4 m范围内的含水率增加速率减缓,4~10 m范围内含水率基本稳定;路基部位地基处理影响范围有限,路基侧沟外侧地基土干密度偏小,渗透系数偏大,路基沉降的主要原因为车站场坪地表汇水渗入地基引起路基黄土层湿化变形。     

基于K-Means聚类算法的城市轨道交通站点分类及客流特征分析

文章立足于沈阳市轨道交通站点800 m范围内的人口分布、开发强度、公交接驳、路网长度分布、站点位置属性、站点客流数据等六大维度数据,采用K-Means聚类算法将城市轨道交通站点划分为居住型、商业商务型、综合开发型、产业型、交通枢纽型五大类;基于站点聚类成果,叠合多样化数据分析总结各类站点客流的普适性规律,可为后续站点周边基础设施完善、站点客流预测、车站运营组织方案做出指导。     

聚氨酯夹层板舱口盖振动特性研究

聚氨酯夹层板(SPS)因其出色的力学性能、减振降噪特性等在船舶建造领域得到了广泛应用。以船舶轻量化、高性能设计为目标,以64000DWT散货船钢制舱口盖为替代目标,采用聚氨酯夹层板设计新型舱口盖结构,基于有限元软件Ansys Workbench开展SPS舱口盖结构振动特性分析,研究其模态振型、谐响应和随机振动。通过与钢制舱口盖振动特性的对比研究,论证了聚氨酯夹层板在船舶减重和结构减振方面的优势与前景。研究结果表明:SPS舱口盖设计方案,在实现整体减重12%的情况下,使谐响应振幅降低75%;在1σ区域内,使随机振动的位移、应力响应分别降低了63.4%和76.1%。研究结果可以为船舶结构轻量化设计、舒适性改善等提供参考。     

平台运动下悬链线立管涡激振动响应特性分析

悬链线立管会在半潜平台运动带动下出现涡激振动现象,对立管疲劳寿命造成影响.借助海工结构物动力分析软件Orcaflex建立立管模型,使用Iwan-Blevins尾流振子模型进行数值模拟.通过与试验结果对比验证了该方法的可行性.同时建立实尺度悬链线立管模型,并考虑背景海流的影响,分析平台垂荡、纵荡运动下的立管涡激振动响应和疲劳损伤.研究表明,平台运动产生的非定常流场将引起悬链线立管发生涡激振动现象,并在背景洋流激励的基础上增大疲劳损伤,在立管结构实际工程设计时应予以关注.     

基于狄利克雷过程混合模型的城市活动聚类方法研究

手机信令数据不仅记录个体出行轨迹，也为分析城市活动空间分布特征提供了基础.本文提出一种基于狄利克雷混合模型的城市活动特征聚类方法，以手机信令提取居民出行OD为基础，将每个基站的到发出行量作为表征该基站所处空间位置的活动特征，研究特征的聚类方法.引入狄利克雷分布作为先验分布，由中餐馆模型推定特征聚类数量.与其他聚类方法相比，该方法最大的优点在于无需事先指定聚类数量，避免了传统聚类方法的缺陷.将本文方法应用到三亚市城市活动特征聚类当中，结果能够有效地反应不同城市功能组团的活动特征.     

船舶智能设计浅析

随着《中国制造2025》提出综合实力进入世界制造强国前列的制造强国战略目标,基于新一代信息技术产业的智能制造工程正在各个产业迅速推进。但作为制造强国基础的智能工厂并不仅仅局限于智能制造,还应该包括智能设计、全范围的智能物流和智能管控等。其中智能设计是缩短产品研制周期的关键,通过智能设计产生最优化的数据、高正确率数据是缩减制造周期降低制造成本的关键。文章简要剖析智能设计在船舶行业的应用,基于现状展望智能设计的发展方向,并分析了发展智能设计所需的数据系统建设。