Visualisation of uncertainty in probabilistic traffic models for policy and operations

This study investigates different methods to visualise uncertainty in static representations of probabilistic traffic models predictions on road-networks. Although various graphical cues may be used to represent uncertainty it is not a priori clear which of them are most suited for this purpose, since their legibility, intelligibility and the degree to which they interfere with other graphical elements in a representation differ widely. Several graphical uncertainty representations were therefore developed and analysed in expert sessions. A selection of the initial set of uncertainty visualisations was further evaluated in a cognitive alternative task-switching experiment. The results show that graphical representations are able to convey uncertainty information relatively accurately, while some uncertainty visualisations outperform others. It depends on the model and scenario which representation is most suited for a given application. This paper presents an overview of possible graphic uncertainty representations and the considerations involved when applying them to uncertainty in traffic model visualisations.     

道路混凝土分层结构评价方法与指标研究(英文)

结合机理探寻、试验分析和对大量实体工程检测数据的提炼集成,系统研究了道路混凝土外分层与内分层结构,建立起混凝土分层结构模型及评价方法。建议采用密度变异性和吸水率变异性指标评价道路混凝土外分层和内分层结构,为工艺控制道路混凝土内、外分层奠定了基础。     

专业油田增产船的开发研究

油田增产船是一型主要用于海上油田增产增注作业的海洋工程船.根据专业油田增产船的船型特点,通过集成化布置,解决了专业设备系统复杂、布置空间有限等技术难题,并结合作业安全防护、推进方案和综合电站的研究,与国外同类优秀船型作对比分析,最终设计出综合性能优良且自动化程度高的专业油田增产船.     

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.     

Impacts of urban built environment on empty taxi trips using limited geolocation data

This study identifies the determinants of the empty taxi trip duration (ETTD) by combining three high-resolution databases—geolocation data in New York City, geodatabase of urban planning data, and transportation facilities data. Considering the nature of duration data, hazard-based duration model is proposed to explore the relationships between causal factors and ETTD, coupling with three variations of baseline hazard distribution, i.e., Weibull distribution with heterogeneity, Weibull distribution, and log-logistic. Furthermore, the likelihood ratio test is presented to implement comparisons of three baseline hazard distributions, as well as spatial and temporal transferability of causal factors. The results show significant complementary effects by subway system and competitive effects by city bus and bicycling system, as well as significant impacts of trip length, airport trip, average annual income, and employment rate. Urban built environment, for instance, density of road, public facilities, and recreational sites and ratio of green space, has various impacts on ETTD. The elasticity estimations confirm significant spatial and temporal heterogeneity in impacts on ETTD. In addition, the analysis on elasticity also reveals the considerable impacts of severe traffic congestion on ETTD within Manhattan. The modeling can assist stakeholders in understanding empty taxi movements and measuring taxi system efficiency in urban areas.     

Effect of nozzle orifice diameter on diesel spray tip penetration according to various spray models for CFD simulation with widely varying back pressure

CFD simulations of spray tip penetration with the standard KIVA3V, ‘original gas jet’ and ‘Normal gas jet profile with breakup length formula’ (NGJBL) spray models were performed to investigate the effects of nozzle orifice size and ambient gas density combinations on the spray penetration. The accuracy of the CFD simulation results was estimated by comparing them with available experimental data. The ambient gas density was varied in 12 kg/m³ intervals from 12 to 69 kg/m³ for each nozzle orifice diameter. The nozzle orifice diameters used were 119, 140, 183 and 206 mm. A total of 20 cases in the CFD simulations were considered with combinations of the 4 nozzle orifice diameters and 5 ambient gas densities. CFD simulations with the NGJBL spray model were more accurate than those with either the standard KIVA3V or gas jet spray models as the nozzle orifice diameter and ambient gas density was increased. The NGJBL and original gas jet model is more effective in predicting the spray tip penetration near the nozzle tip region.     

Vibration reduction of H/Shaft using an electromagnetic damper with mode change

The objective of this study is to develop a damper that can reduce the amplitude of vibration in various frequency ranges. Previous H/Shaft vibration reduction methods work in a passive way. A dynamic damper reduces the amplitude of vibration at its first mode, but vibration still appears at the second mode. A mass damper or hollow shaft can shift the natural frequency to a lower or higher region. The fixed operating frequency prevents vibration from being reduced outside the operating frequency range. The proposed damper uses electromagnets as either masses or actuators to change the damper mode between dynamic damper mode and mass damper mode. The electromagnetic damper (EMD) can change its mode to respond to the vibration excitation at both low and high frequencies. The vibration reduction performance was evaluated by FRF tests in laboratory and vehicle conditions. The results were compared with those of a dynamic damper and indicate that the amplitude of vibration is reduced by 95.6 % when the EMD is implemented on an H/Shaft, whereas only 61.9 % vibration reduction is achieved by the dynamic damper.     

Dynamic simulation of train–truck collision at level crossings

Trains crashing onto heavy road vehicles stuck across rail tracks are more likely occurrences at level crossings due to ongoing increase in the registration of heavy vehicles and these long heavy vehicles getting caught in traffic after partly crossing the boom gate; these incidents lead to significant financial losses and societal costs. This paper presents an investigation of the dynamic responses of trains under frontal collision on road trucks obliquely stuck on rail tracks at level crossings. This study builds a nonlinear three-dimensional multi-body dynamic model of a passenger train colliding with an obliquely stuck road truck on a ballasted track. The model is first benchmarked against several train dynamics packages and its predictions of the dynamic response and derailment potential are shown rational. A geometry-based derailment assessment criterion is applied to evaluate the derailment behaviour of the frontal obliquely impacted trains under different conditions. Sensitivities of several key influencing parameters, such as the train impact speed, the truck mass, the friction at truck tyres, the train–truck impact angle, the contact friction at the collision zone, the wheel/rail friction and the train suspension are reported.     

高等教育大众化视阈下的高等职业教育质量观刍议

随着我国高等教育大众化进程的不断推进,高等职业教育的教育质量成了全社会最为关注的问题．文章运用高等教育理论并结合当前高等职业教育发展的现状,对新时期高等职业教育质量现进行了导引性研究,旨在为目前高等职业教育的发展挖掘和提供多雏视角．     

降钙素基因相关肽与内皮素受体A在兔实验性蛛网膜下腔出血后基底动脉的表达

目的探讨蛛网膜下腔出血(SAH)后脑血管内皮细胞降钙素基因相关肽(CGRP)及内皮素受体A(ETRA)的表达与迟发性脑血管痉挛(DCVS)之间的关系。方法日本大耳白家兔60只,随机分为SAH模型组25只,盐水组25只,穿刺组5只,正常组5只。采用枕大池二次注血法制作SAH模型,灌注处死后取基底动脉制成切片。进行CGRP及ETRA的免疫组化和HE染色,观察CGRP与ETRA的免疫表达和病理结构变化,并用图像分析方法测量血管周长,使用方差分析进行统计学检验。结果基底动脉周长在SAH后均发生明显缩窄,其中在5d时缩小最强烈。CGRP与ETRA免疫阳性标记颗粒在SAH组的基底动脉组织中均有表达,其动态变化规律为CGRP的表达在1h时最明显,在3、5d依次表达减少,5d达到最低点,7d后开始逐渐升高,10d时表达相对比较明显,但未能达到正常水平,CGRP在穿刺组、正常对照组和盐水组也有散在不规则表达。在正常组、穿刺组和盐水组的基底动脉内ETRA有表达;SAH组基底动脉内ETRA在3d组和5d组表现为高表达,以3d组为强,而其中血管内皮细胞表达最强烈,平滑肌也有表达,10d组的表达仍然较强。结论在SAH后脑血管内皮细胞CGRP和ETRA的表达呈现明显的动态改变,但二者的变化趋势并不同步;CGRP和ETRA在DCVS的发生发展中起重要的作用。