Toward harmonizing prospective effectiveness assessment for road safety: Comparing tools in standard test case simulations

Abstract

Objective: With the overall goal to harmonize prospective effectiveness assessment of active safety systems, the specific objective of this study is to identify and evaluate sources of variation in virtual precrash simulations and to suggest topics for harmonization resulting in increased comparability and thus trustworthiness of virtual simulation-based prospective effectiveness assessment.

Methods: A round-robin assessment of the effectiveness of advanced driver assistance systems was performed using an array of state-of-the-art virtual simulation tools on a set of standard test cases. The results were analyzed to examine reasons for deviations in order to identify and assess aspects that need to be harmonized and standardized. Deviations between results calculated by independent engineering teams using their own tools should be minimized if the research question is precisely formulated regarding input data, models, and postprocessing steps.

Results: Two groups of sources of variations were identified; one group (mostly related to the implementation of the system under test) can be eliminated by using a more accurately formulated research question, whereas the other group highlights further harmonization needs because it addresses specific differences in simulation tool setups. Time-to-collision calculations, vehicle dynamics, especially braking behavior, and hit-point position specification were found to be the main sources of variation.

Conclusions: The study identified variations that can arise from the use of different simulation setups in assessment of the effectiveness of active safety systems. The research presented is a first of its kind and provides significant input to the overall goal of harmonization by identifying specific items for standardization. Future activities aim at further specification of methods for prospective assessments of the effectiveness of active safety, which will enhance comparability and trustworthiness in this kind of studies and thus contribute to increased traffic safety.     

UASB反应器中颗粒污泥的沉降性能与终端沉降速度

从流体力学角度,通过建立沉降速度模型探讨了UASB反应器中颗粒污泥的沉降性能与终端沉降速度．计算结果表明,(1)绝大多数颗粒污泥的沉降过程属于过渡区(1＜Re＜100)而非层流区,其沉降速度与直径成正比,可用Allen公式进行计算;(2)颗粒污泥的终端沉降速度远高于厌氧反应器中废水的上流速度,其良好的沉降性能解决了在高负荷情况下污泥的流失问题．所建模型能较好地反映实际条件下的情况．为厌氧反应器的工艺设计与正常运行提供理论依据．     

浅谈“三道防线”对防止污染水域的作用

在简要介绍了上海港散装液体危险装货物储运作业发展的基础上，分析了码头装卸作用中存在的防污染问题，提出了“三道防线”是防止污染的有效措施。     

国际规章对散装液本危险货物作业码头及装卸操作的要求与现状

在回顾现有国际规章对散装液体危险货物作业码头及装卸操作要求的基础上，分析了中国相关码头及作业现状，提出了在安全和防污染等方面需要研究解决的问题。     

倍福Profibus现场总线端子模块在炼钢电炉除尘系统中的应用

通过90 t炼钢电炉除尘工程控制系统的具体的工程项目实例,简略介绍了倍福(Beckhoff)现场总线端子模块及其在工程项目中的应用.     

高原铁路机车乘务人员生理选拔指标研究

为了研究高原铁路机车乘务员生理选拔指标,确定生理指标鉴定标准值,选择西宁铁路分局西格段机车司机500人进行指标体系鉴定试验。其结果表明:西格段机车司机总体合格率为31.6%,年龄、行车线路高度差对合格率有较大影响;确认红细胞压积、白细胞计数、血小板计数、血氧饱和度、血糖、谷草转氨酶、总胆红素、直接胆红素、尿蛋白和尿红细胞为较敏感的高原低氧生理代偿指标;可作为生理适应性筛检指标。提出选拔青藏铁路机车乘务员应采用基础体检、高原适应性体检二级结构模型;制定了高原机车乘务员体检鉴定医学标准、测试方法、合格判定标准。     

一种新型宽带移动终端天线设计方案

针对当前无线通信中的终端天线应用进行研究,提出了一种新型的宽带微带天线结构,并采用了高频电磁场仿真软件进行了仿真验证和实际样品测试。结果表明,该天线可在0.816GHz~1.099GHz频段和1.657GHz~2.260GHz频段内达到要求的驻波比,可以实现GSM850/900/1800/1900频段以及WCDMA2100频段的要求。同时该天线结构整体辐射性能好,具有全向辐射性,适合移动终端使用。     

Suicide by crashing into a heavy vehicle: Focus on professional drivers using in-depth crash data

Objective: Road traffic suicides typically involve a passenger car driver crashing his or her vehicle into a heavy vehicle, because death is almost certain due to the large mass difference between these vehicles. For the same reason, heavy-vehicle drivers typically suffer minor injuries, if any, and have thus received little attention in the research literature. In this study, we focused on heavy-vehicle drivers who were involved as the second party in road suicides in Finland.

Methods: We analyzed 138 road suicides (2011–2016) involving a passenger car crashing into a heavy vehicle. We used in-depth road crash investigation data from the Finnish Crash Data Institute.

Results: The results showed that all but 2 crashes were head-on collisions. Almost 30% of truck drivers were injured, but only a few suffered serious injuries. More than a quarter reported sick leave following their crash. Injury insurance compensation to heavy-vehicle drivers was just above €9,000 on average. Material damage to heavy vehicles was significant, with average insurance compensation paid being €70,500. Three out of 4 truck drivers reported that drivers committing suicide acted abruptly and left them little opportunity for preventive action.

Conclusions: Suicides by crashing into heavy vehicles can have an impact on drivers’ well-being; however, it is difficult to see how heavy-vehicle drivers could avoid a suicide attempt involving their vehicle.     

Cycle Aware Package: Using Haddon’s matrix to reduce novice driver crashes with cyclists

Abstract

Objectives: What are we teaching drivers about safely interacting with cyclists? This is the main objective of the Cycle Aware project. As part of the study, a teaching and learning package is being developed to fill this gap in Australia.

Methods: Cycle Aware is a major national project that takes a mixed methods approach to investigate how cyclists are taught to share the road with cyclists when learning to drive. The project has five stages: (1) a national review of the driver licensing documentation; (2) interviews with key stakeholders (n?=?35) involved with novice driver education; (3) analysis of cyclist-novice driver crash data to identify the most frequent crash types; (4) develop a teaching and learning package (Cycle Aware Package), and; trial and evaluate Cycle Aware Package.

Results: Overall, drivers are taught little about sharing the road with cyclists. Representation of cyclists in government documentation is mixed and mostly negative and interviews identified driver-cyclist tensions related to attitudes and awareness of sharing the road. Crash types were similar among novice and experienced drivers. The Cycle Aware Package is being finalised and will be trialled in South Australia and Northern Territory in early 2019.

Conclusions: Cycle Aware will provide new insights into the way drivers are taught to share the road with cyclists. The Cycle Aware Package with interactive online content and driver competencies will facilitate a new approach to addressing this gap among Australia drivers.     

Driving while impaired by alcohol: An analysis of drink-drivers involved in UK collisions

Objective: Drink-driving represents a critical issue on international organizations’ agendas as one of the key behavioral risk factors in road traffic safety, alongside speed and nonuse of motorcycle helmets, seat belts, and child restraints. Changing road user behaviors regarding these 5 factors is a critical component in reducing road traffic injuries and casualties. The objective of this study is the identification of drivers who are more likely to contribute to crashes in the UK while impaired by alcohol to design targeted drink drive compliance campaigns.

Method: To profile drivers with the factor “impaired by alcohol” assigned in collisions, an extensive data set is used, including all reported injury collisions between 2011 and 2015 in the UK (police records), merged with the Experian Mosaic Database. A multilevel mixed-effects logistic regression is conducted, utilizing the hierarchical nature of the data (drivers within Mosaic types).

Results: Using multilevel mixed-effects logistic regression analysis, the finding is that some driver profiles are more likely to contribute to crashes and are assigned the contributory factor “impaired by alcohol.” Drink-related crashes are more common in some circumstances or for some crash-involved driver groups than others. For instance, alcohol-related crashes are more likely to occur on single carriageways and among males and 25- to 35-year-olds. Drink-drive-related crashes are found to be strongly associated with dark lighting conditions and, more specifically, with late night hours (the interval between 3:00 a.m. and 4:00 a.m. accounts for a third of the drink-drive-related collisions). Using the Experian Mosaic Database which divides the UK population into 66 types based on demographic, lifestyle, and behavior characteristics, the finding is that, among crash-involved drivers, some Mosaic types are significantly more likely (e.g., pocket pensions, dependent greys, streetwise singles) and others are significantly less likely (e.g., crowded kaleidoscope, cultural comfort, penthouse chic) to contribute to a drink-related crash.

Conclusions: The outcome is a more nuanced understanding of drivers contributing to drink-related crashes in the UK. The study concludes by discussing the implications for governments and other interested bodies for better targeting and delivery of public education campaigns and interventions.