An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks

As intelligent transportation systems (ITS) approach the realm of widespread deployment, there is an increasing need to robustly capture the variability of link travel time in real-time to generate reliable predictions of real-time traffic conditions. This study proposes an adaptive information fusion model to predict the short-term link travel time distribution by iteratively combining past information on link travel time on the current day with the real-time link travel time information available at discrete time points. The past link travel time information is represented as a discrete distribution. The real-time link travel time is represented as a range, and is characterized using information quality in terms of information accuracy and time delay. A nonlinear programming formulation is used to specify the adaptive information fusion model to update the short-term link travel time distribution by focusing on information quality. The model adapts good information by weighing it higher while shielding the effects of bad information by reducing its weight. Numerical experiments suggest that the proposed model adequately represents the short-term link travel time distribution in terms of accuracy and robustness, while ensuring consistency with ambient traffic flow conditions. Further, they illustrate that the mean of a representative short-term travel time distribution is not necessarily a good tracking indicator of the actual (ground truth) time-dependent travel time on that link. Parametric sensitivity analysis illustrates that information accuracy significantly influences the model, and dominates the effects of time delay and the consistency constraint parameter. The proposed information fusion model bridges key methodological gaps in the ITS deployment context related to information fusion and the need for short-term travel time distributions.     

化工管道的带压堵漏处理技术

带压堵漏技术是近年来在设备及管道泄漏时,在不妨碍生产系统正常运行下,而进行堵漏的一项新技术,被广泛应用在化工生产等行业,具有极高的实用价值。针对化工生产中经常出现的泄漏问题,通过对带压堵漏技术的基本原理及技术特点的研究,提出了消除泄漏的有效措施。通过成功的实例,阐述了在不停车条件下进行带压堵漏的基本操作及要点,结果证明应用带压堵漏技术可以有效地解决生产中的泄漏问题,保障稳定生产。最后,总结了带压堵漏技术今后应重视的问题。     

济南建邦黄河公路大桥斜拉桥前支点挂篮施工控制

济南建邦黄河公路大桥主桥是一座三塔中央索面斜拉桥,其主梁悬臂施工采用前支点挂篮。从施工控制的角度对该桥前支点挂篮在分段悬臂浇注过程中施工控制涉及的几个方面进行了论述,内容涵盖前支点挂篮施工控制模拟分析、前支点挂篮锚固系统受力的确定、前支点挂篮的就位调整、前支点拉索张拉次数和张拉力的确定以及前支点挂篮变形误差分析等。     

X80管线钢管的屈强比对其失效评估曲线的影响

X80及以上级别管线钢管的高屈强比是工程应用中的一个突出问题,失效评估曲线是其安全评定的重要依据。文中通过单轴拉伸和断裂韧性试验建立了高屈强比X80管线钢管的特征失效评估图及拟合方程。结果表明：随着钢管屈强比升高,失效评估曲线的截至线（最大载荷比）降低;高、低屈强比钢管的评估曲线在载荷比大于某一临界值时发生分离,且高屈强比钢管的评估曲线处于低屈强比钢管的评估曲线之下;高屈强比钢管的选择3评估曲线比选择1和选择2曲线更偏于安全。     

不同驾驶操作行为对车辆燃油消耗量的影响分析

针对车辆驾驶员普遍存在盲目换挡、急加速等不良驾驶行为的现象,研究采用发动机台架试验和道路试验相结合的方法,对汽车起步、换挡时机的选择、加速、减速、车速控制等典型的驾驶操作行为展开研究,通过对不同驾驶操作行为燃油消耗的分析,规范了汽车驾驶操作行为。     

高速公路ETC车道防邻道及跟车干扰研究

在ETC车道系统中,相邻两个ETC车道之间的OBU与RSU相互影响,RSU与非本车道上的OBU进行通讯并完成交易,引起邻道干扰;工程实施、设备等原因引起跟车干扰,造成ETC收费失败。针对存在的问题,分析工程安装、设备原因,提出切实可行的解决方案,保证ETC车道功能的正确性、完整性,是交通运输行业节能减排绿色发展成果之一。     

恶劣天气红外热成像行人检测方法研究

为了提高智能汽车在恶劣天气对行人检测的速度和精度,本文提出一种基于YOLO V4的红外热成像行人检测方法.通过迁移学习对YOLO V4模型进行再训练,可快速而准确地实现恶劣道路环境的行人检测.     

Tool for Predicting the Ultimate Bending Moment of Ship and Ship-Shaped Hull Girders

The present paper presents a historical review associated with the research works on hull girder strength of ship and ship-shaped structures. Then, a new program is developed to determine the ultimate vertical bending moment of hull girder by applying direct method, stress distribution method, and progressive collapse analysis method. Six ships and ship-shaped structures used in the benchmark study of International Ship and Offshore Structures Congress (ISSC) in 2012 are adopted as examples. The calculation results by applying the developed program are analyzed and compared with the existing results. Finally, the roles of the developed program and its further development are discussed.     

An exploratory investigation of the impact of ramp metering on driver acceleration behavior

Ramp metering has been proven as an effective freeway management strategy; however, the impact of ramp metering on drivers' acceleration behavior has not been fully investigated. A better understanding of acceleration behavior changes with ramp metering is critical to the adequate design of ramp metering facilities. In this study, drivers' speed and acceleration data were collected at two representative metered ramps in Los Angeles, California. The speed and acceleration profiles under meter-on and meter-off scenarios were compared. Statistical results demonstrated that ramp metering affects drivers' acceleration behavior at ramp acceleration lane. It was found that at the metered ramp with short existing acceleration length, the average acceleration rate from ramp meter stop bar to 500 ft downstream under meter-on scenario (4.72 ft./s²) is approximately 40% higher than when meter-off (3.18 ft./s²). The design of acceleration lane length for metered on-ramps should therefore take into account the potential impacts of ramp metering on driver acceleration behavior.     

电动汽车动力电池热失控过程分析及预警机制设计

文章通过实验数据对热失控发生的过程进行分析,提取出关键的信号特征。设计出一套全面完整的热失控预警系统,并总结出多个报警条件,避免出现故障的误报及漏报的情况。最后介绍了热失控预警后整车及大数据的应对措施。