道路交通安全和谐管理新模式

针对我国交通安全管理现状及存在问题,提出交通安全和谐管理理念,建立了交通安全和则、谐则体系及和谐互耦的基本管理架构,讨论了交通安全和谐的运作机制及相应的系统。在政策立法、控制手段、管理手段等方面,建立交通安全管理的和则、谐则体系及其耦合机制,通过双规则耦合互动,实现人、车、路与环境之间的和谐统一,以期提高交通安全管理的水平和运输系统的效能,达到使人、车、路三者和谐发展。     

信息融合技术在智能交通安全系统中的应用

智能交通系统已经成为解决交通问题有效的手段，我国正在大力推广智能交通系统。智能交通安全系统是智能交通系统中不可或缺的一部分，它保证了智能交通系统能够准确的进行决策。信息融合技术是新兴的技术，在数据处理和分析中对系统有很大的帮助。介绍了信息融合的理论基础，基本功能，基本技术；以及智能交通系统信息融合模型；着重讨论了信息融合定位系统——卫星定位-航位推算系统（Global Positioning System—Dead Reckoning）（GPS—DR）在智能交通安全系统中的应用。     

空中交通管制中人的可靠性模糊综合评价研究

人是空中交通管制系统中最灵活、最具适应性和最有价值的因素 ,而其行为也是最易受到不利影响的。由于空中交通管制中产生的人为失误 ,往往会导致航空器空中危险接近 ,严重的后果甚至会酿成空难。笔者从人 -机 -环境系统工程的观点出发 ,提出了空中交通管制中人的可靠性评价的指标体系结构模型。从人自身因素、软件、硬件、环境等方面指出了影响空中交通管制中人的可靠性的心理、空中环境等 17个子因素。运用模糊数学的方法 ,建立空中交通管制中人的可靠性定量评价模型 ,并用实例进行了验证。研究表明 ,该方法应用于空中交通管制中人的可靠性评价是一种新的尝试 ,其评价结果可为各级领导机构提供航空安全管理的决策依据。     

我国道路交通安全发展情景分析

以日本和美国为例 ,分析了发达国家道路交通事故高发期的发展历程 ,得出了道路交通事故的上升与国家经济发展和机动化增长有着直接关系的结论。笔者通过分析和预测我国经济和道路交通的发展情景发现 ,今后我国道路交通发展特征和日本道路交通高发期的情况十分类似。如果现有交通管理体制和技术措施没有大的变化 ,我国道路交通事故死亡人数到 2 0 2 0年可能会超过 2 3万人。为此 ,国家应尽快改善道路交通管理方面所存在体制上、行政上和技术上的不足 ,防止出现笔者所预测的道路交通事故极其严重的局面。     

可变情报板对交通安全的影响分析

目前,可变情报板作为最基础、最常用的诱导信息发布平台被大量安装在道路两侧。一方面,它在一定程度上分散了车辆的聚集,减少了车辆的巡游;而另一方面,由于对可变情报板的设置、显示等方面的研究不足,它对交通安全带来了一定的影响,或者诱导效果并不理想。笔者主要围绕北京市西直门桥周边的可变情报板进行调研,从多个方面分析了可变情报板对交通安全的影响,列出了主要的影响因素,如刷新频率、视认性等,并给出了一定的量化指标。     

基于速度的交通事故分析

速度对交通事故的发生以及严重程度有着直接影响,是道路交通事故的重要诱因之一。为了准确地反映速度与事故之间的关系,减轻由于速度因素所造成的交通事故的损失,笔者对国内外速度与交通安全的情况进行分析;研究了平均速度与事故危险性、速度离散度与事故率以及速度与事故严重性的关系;提出了加强速度管理,控制交通流平均速度和减小相邻路段的速度差值的对策。基于速度的交通事故分析,建议采用85%位车速作为控制速度的上限值;提出限速措施,以达到减少交通事故及其损失的目的。     

道路交通安全管理措施比较研究

根据近五年来我国道路交通安全状况的实际,针对目前我国道路交通安全管理的现状,本文就道路交通法规建设、道路交通安全宣传教育、道路交通执法、道路事故紧急救援措施等相关内容与日本、美国、欧洲交通发达国家进行了对比分析,以图找出我国现行的道路交通安全管理对策中的薄弱环节及完善的途径.     

车辆保险--交通安全管理的经济手段

中国道路交通安全面临着前所未有的挑战.本文在分析车辆保险与投保人安全驾驶关系的基础上,提出推行车辆保险是解决我国当前道路交通安全、保障交通事故受害者合法权益的有效经济手段之一.     

Life cycle energy impacts of automotive liftgate inner

This paper compares the life cycle energy use of a cast-aluminum, rear liftgate inner and a conventional, stamped steel liftgate inner used in a minivan. Using the best available aggregate life cycle inventory data and a simple spreadsheet-level analysis, energy comparisons were made at both the single-vehicle and vehicle-fleet levels. Since the product manufacture and use are distributed over long periods of time that, in a fleet, are not simple linear combinations of single product life cycles. Thus, it is all the products in use over a period of time, rather than a single product, that are more appropriate for the life cycle analysis. Using a set of consistent data, analyses also examine sensitivity to the level of analysis and the assumptions to determine the most favorable materials with respect to life cycle energy benefits.As expected, life cycle energy impacts of aluminum are lower than steel at a single-vehicle level – energy savings are determined to be 1.8 GJ/vehicle. Most energy savings occur at the vehicle operation phase due to improved fuel economy from lightweighting. The energy benefits are realized only very close to the average vehicle life of 14 years. With the incremental growth of the vehicle fleet, it takes longer – about 21 years – for aluminum to achieve life cycle equivalence with steel. The number of years aluminum needs to achieve equivalence with steel was found to be quite sensitive to aluminum manufacturing energy and fuel economy. As the steel industry races to compete with other materials for automotive lightweighting, a systems approach, instead of part-to-part comparison, is more appropriate in the determination of viability of aluminum substitution from an energy perspective.     

Reliability and validity of the Multidimensional Driving Style Inventory in Chinese drivers

Objective: The Multidimensional Driving Style Inventory (MDSI) has been widely used in assessing the associations between driving styles and traffic violations and accidents in different cultural contexts. Due to the lack of a valid instrument to assess driving style, studies concerning driving style and its influence factors are limited in China. Thus, this study aimed to adapt and validate a Chinese version of the MDSI.

Methods: Seven hundred and sixty drivers aged from 19 to 60 years old were asked to complete the MDSI and a personality scale (trait anger, sensation seeking, altruism, and normlessness). Exploratory factory analysis (EFA) and confirmatory factor analysis (CFA) were used to obtain the factorial structure of the MDSI. The external validity of the MDSI was then evaluated by examining the associations between driving styles and personality traits, demographic variables, and traffic violations and crashes.

Results: EFA revealed a 6-factor structure of the MDSI (i.e., risky, anxious, angry, distress reduction, careful, and dissociative driving styles). CFA confirmed that the model fit of the MDSI was acceptable. The MDSI factors were moderately or weakly correlated with trait anger, sensation seeking, altruism, and normlessness. Significant gender and age differences in driving styles were found. Moreover, drivers who had traffic violations or crashes in the past year scored higher on risky and angry driving styles and lower on careful driving style than those who had not have traffic violations or crashes.

Conclusions: The Chinese version of the MDSI proved to be a reliable, valid, and highly useful instrument. It could be used to assess Chinese drivers who are at risk due to their maladaptive driving styles.