Are older drivers’ driving patterns during an on-road driving task representative of their real-world driving patterns?

Abstract

Objective: The current study investigated whether older drivers’ driving patterns during a customized on-road driving task were representative of their real-world driving patterns.

Methods: Two hundred and eight participants (male: 68.80%; mean age?=?81.52 years, SD?=?3.37 years, range?=?76.00–96.00 years) completed a customized on-road driving task that commenced from their home and was conducted in their own vehicle. Participants’ real-world driving patterns for the preceding 4-month period were also collected via an in-car recording device (ICRD) that was installed in each participant’s vehicle.

Results: During the 4-month period prior to completing the on-road driving task, participants’ median real-world driving trip distance was 2.66?km (interquartile range [IQR]?=?1.14–5.79?km) and their median on-road driving task trip distance was 4.41?km (IQR?=?2.83–6.35?km). Most participants’ on-road driving task trip distances were classified as representative of their real-world driving trip distances (95.2%, n?=?198).

Conclusions: These findings suggest that most older drivers were able to devise a driving route that was representative of their real-world driving trip distance. Future research will examine whether additional aspects of the on-road driving task (e.g., average speed, proportion of trips in different speed zones) are representative of participants’ real-world driving patterns.     

Application of environmentally conscious manufacturing strategies for an automotive component

Application of appropriate environmentally conscious manufacturing strategies enables the sustainable development of products and processes. Automotive component manufacturers recognise the potential of applying appropriate strategies for attaining Triple Bottom Line benefits. In this context, three strategies such as eco-efficiency, waste minimisation and material efficiency are being applied to minimise environmental impacts associated with the manufacture of automotive products and its associated processes. A case study of an automotive component manufacturing firm has been exemplified. After conducting the study, the potential environmental impact was reduced by 20% and eco-efficiency was improved by 13%. Further, improvements have been observed in terms of overall resource consumption and material efficiency. The overall power consumption was reduced by 18% and weight of the component was reduced by 11%. The study aimed at improving the sustainable performance of product by incorporating green and environmentally friendlier manufacturing practices.

Abbreviations: USEPA: United Nations Environmental Protection Agency; OECD: Organisation for Economic Co-operation and Development; WBCSD: World Business Council for Sustainable Development; Eco-QFD: Environmental Quality Function Deployment; WCED: World Commission on Environment and Development; LCA: Life Cycle Assessment     

基于功能仿真的电子产品性能退化分析方法

目的研究基于功能仿真对电子产品长期工作过程中性能退化问题进行分析的方法。方法以DC-DC电源模块为对象,一种方式是直接对电源模块进行加速退化试验,并基于试验数据进行可靠性分析;另一种方式是对电源模块中性能退化关键元器件进行加速退化试验,并将试验数据模型注入到电源模块功能仿真模型中,进行性能退化仿真与可靠性分析,最终对两种分析结果进行对比,验证仿真分析技术的有效性。结果对比显示,加速退化试验分析得到的电源模块平均寿命为281 560 h,仿真分析得到的电源模块平均寿命为357 290 h。结论由于仿真分析方法只考虑了性能退化的关键元器件,结果偏乐观,但是偏差在合理的范围内,证明该方法对于性能退化可靠性分析是有效的,并且应用该方法更便于进行设计改进和迭代分析。     

电子垃圾重金属污染及防治对策研究

随着信息产业的飞速发展,电子产品更新换代加速,电子垃圾飞速增长,电子垃圾中的重金属对环境造成了越来越严重的污染.本文回顾了广东贵屿与浙江台州两大电子垃圾回收拆解区重金属污染的现状,分析了电子产品原材料、加工工艺和电子垃圾不当回收导致重金属污染的原因,提出了依靠政策法规引导、借鉴国外先进经验、进行电子垃圾回收处理产业化发展的相应防治对策,以期能改善电子垃圾导致的重金属污染.     

电子产品故障物理模型研究与应用进展

提出了故障物理模型的基本概念,对几种常见的电子产品故障物理模型,包括互连热疲劳模型、互连振动疲劳模型、电迁移模型和与时间相关的介质击穿模型等进行了分析,总结提出了基于失效发生因素和失效发生过程的损伤模型建模等两种故障物理模型的建模方法。结合工程应用情况,对两种故障物理模型的应用方法——可靠性仿真分析方法和可靠性加速试验方法进行了讨论。最后对故障物理模型的研究进行了展望。     

工业自动化制造企业环境因素的识别和影响研究

企业通过建立ISO14001环境管理体系(EMS),即可以提升企业的社会形象,也能更好帮助企业实现其承担的社会责任.在实践中,明确组织的环境因素是建立符合、有效的EMS的基础,也是组织进行环境规划活动的首要步骤.本文将以某外商独资企业为例,基于该类高附价值产品的制造企业特点,建立了环境因素识别的输入输出模型来全面识别环境因素,并分析了其对企业带来的相关环境影响.最后本文讨论了企业的节能减排案例,以及相关方的环境因素的影响和管理.     

浅谈爆破振动的控制措施

结合爆破振动的作用机理,分别对减少振源爆炸能量、干扰降振、阻断振动波传播途径、控制爆破规模、合理选择分段间隔时间等爆破振动主要控制措施进行了分析讨论。并根据实际施工情况分析了通过电子雷管实现干扰降振的减振效果,为类似工程提供借鉴作用。     

双重预防机制在家具制造业的应用与实践

为了减少安全事故的发生,进一步加强和规范企业生产现场的安全管理,探索双重预防机制在企业安全管理中的应用,结合家具制造企业安全生产现状,运用风险分级管控与隐患排查的相关理论,详细论述了企业构建双重预防体系的要点及方法,并提出了双重预防体系的监督与考核机制。实践结果证明,双重预防机制是一个统一的有机结合体,只有将风险分级管控体系和隐患排查治理体系有机结合,才能将导致事故发生的根源性因素进行有效识别和管控,双重预防机制建设也是一个动态管理的过程,需要及时进行监督、考核和调整。     

Utility of biological sensor tags in animal conservation

Electronic tags (both biotelemetry and biologging platforms) have informed conservation and resource management policy and practice by providing vital information on the spatial ecology of animals and their environments. However, the extent of the contribution of biological sensors (within electronic tags) that measure an animal's state (e.g., heart rate, body temperature, and details of locomotion and energetics) is less clear. A literature review revealed that, despite a growing number of commercially available state sensor tags and enormous application potential for such devices in animal biology, there are relatively few examples of their application to conservation. Existing applications fell under 4 main themes: quantifying disturbance (e.g., ecotourism, vehicular and aircraft traffic), examining the effects of environmental change (e.g., climate change), understanding the consequences of habitat use and selection, and estimating energy expenditure. We also identified several other ways in which sensor tags could benefit conservation, such as determining the potential efficacy of management interventions. With increasing sensor diversity of commercially available platforms, less invasive attachment techniques, smaller device sizes, and more researchers embracing such technology, we suggest that biological sensor tags be considered a part of the necessary toolbox for conservation. This approach can measure (in real time) the state of free‐ranging animals and thus provide managers with objective, timely, relevant, and accurate data to inform policy and decision making.     

某电子垃圾拆解园周边农田土壤中多环芳烃的污染特征及风险评估

研究了某电子垃圾拆解园周边151个农田土壤样品中16种多环芳烃(PAHs)的污染特征和环境风险。结果表明,125个表层土壤样品中PAHs总质量浓度在149.0~2.0×104μg/kg,均值为1 805.5μg/kg,随着剖面土壤深度增加,PAHs含量总体呈递减趋势。通过来源解析,电子拆解园周围土壤中PAHs污染主要由废弃的电子电器元件的粗放燃烧和汽车尾气排放共同引起。土壤风险评估表明,7种类二噁英毒性PAHs的毒性当量(TEQPAH)在6.000×10-5~0.689pg TEQ/g,平均值为0.015pg TEQ/g;苯并(a)芘、二苯并(a,h)蒽、苯并(a)蒽、苯并(b)荧蒽、茚并(1,2,3-cd)芘致癌风险率超出百万分之一的样本比例分别为20.53%、6.62%、1.99%、2.65%、2.65%,其中采样点1、68两个点位表层土壤的苯并(b)荧蒽致癌风险率超过了万分之一。