智能手机应用程序使用与操作的驾驶分心风险影响研究

为研究智能手机应用程序操作方式与使用行为对驾驶分心影响的问题,探讨智能手机程序操作方式对驾驶分心影响的优劣关系,基于结构方程模型提出4个因果关系假设,构建涵盖程序使用、驾驶分心、驾驶绩效等潜变量的智能手机使用行为影响的结构方程模型。通过收集线下问卷的方式进行调查,搭建模拟场景,设计6项实验方案,通过驾驶模拟实验方式收集相关数据,建立相对偏差矩阵。研究结果表明：手机通话功能的使用(路径系数0.472)对驾驶分心影响显著,手机导航功能使用(路径系数0.256)、手机音乐功能使用(路径系数0.249)对驾驶分心影响不显著。语音交互方式均优于手动操作方式,其中语音交互启动导航方式(F₃=0.019)的影响最小。研究结果可对道路驾驶情况下智能手机应用使用与操作方式的研究起推动作用。     

A critical overview of driver recording tools

Introduction: Technological advancements during recent decades have led to the development of a wide array of tools and methods in order to record driving behavior and measure various aspects of driving performance. The aim of the present study is to present and comparatively assess the various driver recording tools that researchers have at their disposal. Method: In order to achieve this aim, a multitude of published studies from the international literature have been examined based on the driver recording methodologies that have been implemented. An examination of more traditional survey methods (questionnaires, police reports, and direct observer methods) is initially conducted, followed by investigating issues pertinent to the use of driving simulators. Afterwards, an extensive section is provided for naturalistic driving data tools, including the utilization of on-board diagnostics (OBD) and in-vehicle data recorders (IVDRs). Lastly, in-depth incident analysis and the exploitation of smartphone data are discussed. Results: A critical synthesis of the results is conducted, providing the advantages and disadvantages of utilizing each tool and including additional knowledge regarding ease of experimental implementation, data handling issues, impacts on subsequent analyses, as well as the respective cost parameters. Conclusions: New technologies provide undeniably powerful tools that allow for seamless data handling, storage, and analysis, such as smartphones and in-vehicle data recorders. However, this sometimes comes at considerable costs (which may or may not pay off at a later stage), while legacy driver recording methods still have their own niches to fill in research. Practical Applications: The present research supports researchers when designing driver behavior monitoring studies. The present work enables better scheduling and pacing of research activities, but can also provide insights for the distribution of research funds.     

Identification of aggressive driving from naturalistic data in car-following situations

Introduction: Aggressive driving has been associated as one of the causes for crashes, sometimes with very serious consequences. The objective of this study is to investigate the possibility of identifying aggressive driving in car-following situations on motorways by simple jerk metrics derived from naturalistic data. Method: We investigate two jerk metrics, one for large positive jerk and the other for large negative jerk, when drivers are operating the gas and brake pedal, respectively. Results: The results obtained from naturalistic data from five countries in Europe show that the drivers from different countries have a significantly different number of large positive and large negative jerks. Male drivers operate the vehicle with significantly larger number of negative jerks compared to female drivers. The validation of the jerk metrics in identifying aggressive driving is performed by tailgating (following a leading vehicle in a close proximity) and by a violator/non-violator categorization derived from self-reported questionnaires. Our study shows that the identification of aggressive driving could be reinforced by the number of large negative jerks, given that the drivers are tailgating, or by the number of large positive jerks, given that the drivers are categorized as violators. Practical applications: The possibility of understanding, classifying, and quantifying aggressive driving behavior and driving styles with higher risk for accidents can be used for the development of driver support and coaching programs that promote driver safety and are enabled by the vast collection of driving data from modern in-vehicle monitoring and smartphone technology.     

Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures

Introduction: Heterogeneous driving populations with many different origins are likely to have various sub-cultures that comprise of drivers with shared driver characteristics, most likely with dissimilar traffic safety cultures. An innovative methodology in traffic safety research is introduced which is beneficial for large datasets with multiple variables, making it useful for the multi-variate classification of drivers, driving attitudes and/or (risky) driving behaviours. Method: With the application of multidimensional scaling analysis (MDS), this study explores traffic safety culture in the State of Qatar using a questionnaire and investigates the similarity patterns between the questionnaire items, aiming to classify attitudes towards risky driving behaviours into themes. MDS is subsequently applied to classify drivers within a heterogeneous driving sample into sub-cultures with shared driver characteristics and different risky driving attitudes. Results: Results show that acceptance of speeding is highest among the young Arabic students and acceptance of distraction and drivers’ negligence such as phone use and not wearing a seatbelt is highest among male Arab drivers. Acceptance of extreme risk-taking like intoxicated driving and red-light running is highest among South-Asian business drivers. Conclusion: It is important and practical to understand risky behavioural habits among sub-cultures and thereby focussing on groups of drivers instead of individuals, because groups are easier to approach and drivers within sub-cultures are found to influence each other. By indicating which groups of drivers are most likely to perform specific risky driving themes, it is possible to target these groups and effectively emphasise certain subsets of risky driving behaviours during training or traffic safety education. Practical Applications: This study provides guidance for the improvement of driver education and targeted traffic safety awareness campaigns, intending to make changes to attitudes and habits within specific driver sub-cultures with the aim to improve traffic safety on the longer term.     

Fenton法氧化降解聚乙烯醇的机制

为深入了解Fenton法氧化降解聚乙烯醇（PVA）的机制,通过考察反应过程中COD、BOD5、总有机碳及pH等随反应时间的变化,研究了聚乙烯醇Fenton氧化降解过程的特点,结果表明,当PVA被Fenton试剂氧化时,可生成大量CO2,同时生成酸性中间产物。进一步分析认为,当Fenton试剂中H2O2不足景时PVA氧化的中间产物以醛为主,而当H2O2足量时醛会被继续氧化生成有机酸,最终COD去除率达到80％。     

活性污泥的固定化及其性能研究

用改进聚乙烯醇-硼酸法将活性污泥制成固定化颗粒,考察了改进聚乙烯醇-硼酸法的最佳条件及固定化颗粒的性能。实验结果表明：改进聚乙烯醇-硼酸法的最佳条件为聚乙烯醇质量分数6．5％、包泥比（包埋剂与活性污泥质量比）1．2：1、二氧化硅质量分数1．5％、活性炭质量分数0．3％、海藻酸钠质量分数0．6％;用最佳条件下制得的固定化颗粒处理模拟化工废水,连续运行15d后的COD去除率达90％以上,且固定化颗粒耐冲击负荷和pH变化能力强;固定化颗粒对模拟化工废水的COD去除速率随进水COD的变化曲线类似于米氏方程所描述的反应初速度随底物浓度的变化规律。     

重型柴油车实际道路排放与行驶工况的相关性研究

采用SEMTECH-D车载排放测试仪测量了东风柴油卡车在城市实际道路工况以及等速和加速工况下的油耗及污染物排放状况.测试结果显示,测试卡车实际道路综合百公里油耗为17.8 L,NOx、CO和HC排放因子分别为3.96、8.86和2.15g·km-1.其中主干道路况相对较差,油耗与排放因子较高,是所有测试道路平均水平的1.3～1.8倍左右.研究结果表明,重型车油耗及污染物排放与各行驶工况下的速度、加速度均密切相关,车辆在高速加速行驶状态下易产生高排放.车辆在30～50 km·h-1速度区间内等速行驶时,油耗与排放因子最为经济且环境友好.车辆在加速行驶时,油耗与NOx、CO排放因子可达到城市实际道路平均水平的2.0、2.2、1.4倍,急加速时达到2.8、2.1、14倍.应用比功率概念可准确描述车辆在各运行工况下的排放水平,但在重型车上缺乏实验依据,有待进一步研究.     

皂素清洁生产工艺的研究(Ⅰ)

黄姜淀粉经过!-淀粉酶液化,加糖化酶和酵母进行边糖化边发酵生产酒精。发酵后黄姜渣用酸水解法提取薯蓣皂素。黄姜淀粉利用率为86.30%,耗酸量为传统工艺的55%,废水的总COD比传统工艺减少了60.25%,皂素收率比传统工艺提高20.37%。     

Aerobic degradation of methyl tert-butyl ether by a Proteobacteria strain in a closed culture system

The contamination of methyl ten-butyl ether （MTBE） in underground waters has become a widely concerned problem all over the world. In this study, a novel dosed culture system with oxygen supplied by H2O2 was introduced for MTBE aerobic biodegradation. After 7 d, almost all MTBE was degraded by a pure culture, a member of β-Proteobacteria named as PMI, in a closed system with oxygen supply, while only 40% MTBE was degraded in one without oxygen supply. Dissolved oxygen （DO） levels of the broth in closed systems respectively with and without H2O2 were about 5-6 and 4 mg/L. Higher DO may improve the activity of monooxygemase, which is the key enzyme of metabolic pathway from MTBE to tert-butyl alcohol and finally to CO2, and may result in the increase of the degrading activity of PM1 cell. The purge and trap GC-MS result of the broth in closed systems showed that tea-butyl alcohol, isopronol and acetone were the main intermediate products.     

江苏苏中3市的沿江岸线资源开发利用变化及驱动因素

长江是我国重要的黄金水道,其岸线资源有着丰富的开发利用价值。近年来,苏中地区长江岸线资源利用发展迅速。因此,选取苏中扬州、泰州、南通3市为研究对象,基于2002年和2008年的长江岸线利用状况数据,对比分析了3市岸线发展变化的规律。研究表明:2002年以来,苏中3市的岸线利用率大幅提高;新增岸线中工业岸线占比最大,港口岸线和生活服务岸线次之;工业岸线和生活服务岸线的增幅最为显著;各类型岸线的增加主要来源于未利用岸线,已有岸线类型的转换主要流向工业岸线和未利用岸线。港口建设需求、沿江基础工业化进程加快、港产城融合发展、规划和政策引导等是岸线利用变化的重要驱动力。