Women drivers' behavior in well-known versus less familiar locations

INTRODUCTION: Through observations this study sought to examine the effects of road familiarity on driving performance. METHOD: Severe and minor traffic violations, dangerous behaviors, and speeding were assessed in well known and in less familiar locations. RESULTS: As compared to less known locations, drivers in well known locations performed more severe and minor violations, more dangerous behaviors, and they drove above the speed limit more often. DISCUSSION: The results are discussed in the context of Theory of Risk Homeostasis (later re-labeled as Target Risk Theory), the psychological effect of familiarity on driving performance, and the phenomenon of automatic driving. Presenting the risk of driving in familiar locations would assist to elevate safe driving.     

我国交通事故分析与控制对策研究

在分析我国交通事故现状及原因的基础上,利用安全系统工程的原理,提出了控制交通事故的基本对策。     

Self-organizing feature map (neural networks) as a tool to select the best indicator of road traffic pollution (soil, leaves or bark of Robinia pseudoacacia L.)

Concentrations of the elements Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn were measured in the leaves and bark of Robinia pseudoacacia and the soil in which it grew, in the town of Ole?nica (SW Poland) and at a control site. We selected this town because emission from motor vehicles is practically the only source of air pollution, and it seemed interesting to evaluate its influence on soil and plants. The self-organizing feature map (SOFM) yielded distinct groups of soils and R. pseudoacacia leaves and bark, depending on traffic intensity. Only the map classifying bark samples identified an additional group of highly polluted sites along the main highway from Wroc?aw to Warszawa. The bark of R. pseudoacacia seems to be a better bioindicator of long-term cumulative traffic pollution in the investigated area, while leaves are good indicators of short-term seasonal accumulation trends.     

Levels and composition of volatile organic compounds on commuting routes in Detroit, Michigan

Vehicle emissions can constitute a major share of ambient concentrations of many volatile organic compounds (VOCs) and other air pollutants in urban areas. Especially high concentrations may occur at curbsides, vehicle cabins, and other microenvironments. Such levels are not reflected by monitoring at fixed sites. This study reports on measurements of VOCs made from buses and cars in Detroit, MI. A total of 74 adsorbent tube samples were collected on 40 trips and analyzed by GC-MS for 77 target compounds. Three bus routes, selected to include residential, commercial and heavily industrialized areas, were sampled simultaneously on four sequential weeks during morning and afternoon rush hour periods. Nineteen compounds were regularly detected and quantified, the most prevalent of which included hexane/2-methyl pentane (15.6±5.8 μg m⁻³), toluene (10.2±7.9 μg m⁻³), m,p-xylene (6.8±4.7 μg m⁻³), benzene (4.5±3.0 μg m⁻³), 1,2,4-trimethylbenzene (4.0±2.6 μg m⁻³), o-xylene (2.2±1.6 μg m⁻³), and ethylbenzene (2.1±1.5 μg m⁻³). VOC levels in bus interiors and outdoor levels along the roadway were similar. Despite the presence of large industrial sources, route-to-route variation was small, but temporal variation was large and statistically significant. VOC compositions and trends indicate the dominance of vehicle sources over the many industrial sources in Detroit with the possible exceptions of styrene and several chlorinated VOCs. In-bus levels exceeded concentrations at fixed site monitors by a factor of 2–4. VOC concentrations in Detroit traffic are generally comparable to levels measured elsewhere in the US and Canada, but considerably lower than measured in Asia and Europe.     

Occupant Risk,Partner Risk and Fatality Rate in Frontal Crashes: Estimated Effects of Changing Vehicle Fleet Mass in 15 Years

The effect of vehicle fleet mass on car crash fatalities was estimated, using a new mathematical model to isolate vehicle mass from related factors like size, stiffness and inherent protection. The model was based on fatality risk data, impact speed, fleet mass distribution, and collision probabilities. The fleet mass distribution was changed over 15 years to (a) a homogeneous fleet of 1300 kg cars, (b) a bimodal fleet of 600 and 1600 kg cars, and (c) a 300 kg lighter fleet.

Occupant and collision partner fatality risks were estimated for the new fleets. The new fleets were achieved by various strategies, and the average fatality rate was calculated after and during the transition to the new fleet.Occupant fatality risk decreased and partner risk increased as occupants changed to a heavier car. The average fatality rate was 59% higher after the transition to a bimodal fleet mass, and 11 % lower for a homogeneous fleet. A 300 kg lighter fleet had a 8% higher fatality rale, but the strategy influenced the number of fatalities accumulated during the transition. The safest strategy to attain the lighter fleet was to reduce the mass of the heaviest cars first.

It was concluded that vehicle fleet mass significantly affects traffic safety. Downsizing consequences can be compensated for by improving inherent vehicle protection or reducing impact speed. The fatalities during downsizing can be limited by choosing an appropriate strategy.     

我国道路交通安全的现状及其对策

由于国民经济的发展 ,使在用车辆逐年大幅度增长 ,同时也使我国的道路交通事故呈逐年增加的趋势。为了改变我国道路交通的严峻状况 ,笔者从我国道路交通的现状出发 ,分析了交通事故率高的原因 ,有针对性地给出了减少交通事故的可行而有效的软硬件措施 ,为道路交通安全改善指出了实现的方法及努力的方向     

Fatality risk assessment and modeling of drivers responsibility for causing traffic accidents in Dubai

Introduction: This paper examines crash and safety statistics from the Emirate of Dubai in an attempt to identify factors responsible for making this population at greater risk of crashes compared to other countries. Problem: In developing countries such as the United Arab Emirates (U.A.E.), motor-vehicle-related mortalities frequently exceed those of the industrialized nations of North America and Europe. Method: Fatality and injury data used in the analysis mainly come from Dubai Emirate police reports and from other relevant international sources. Groups of the population are identified according to associated risk and exposure factors. Influence and strength of the most common risk factors are quantified using relative risk, the Lorenz curve, and the Gini index. Further analysis employed logit modeling, and possible predictors available in Dubai police reports, to estimate probability and odds ratios associated with drivers that are deemed responsible for causing traffic accidents. Results: Traffic fatality risk was found to be higher in Dubai, compared to some developed nations, and to vary considerably between different classes of road users and groups of the resident population. The likelihood of a driver causing an accident is considerably higher for those driving goods vehicles, but it is also associated with other factors. Impact: Results provide epidemiological inferences about traffic mortality and morbidity, and suggest priorities and appropriate measures for intervention, targeting resident population.     

An examination of the characteristics and traffic risks of drivers suspended/revoked for different reasons

PROBLEM: Prior research has demonstrated that suspended/revoked drivers pose a significant traffic risk, but until now little has been known about whether, and if so how, this risk varies as a function of the reason for suspension/revocation. METHOD: This study classifies suspended/revoked drivers into subgroups based on their reason for suspension/revocation, and then develops demographic and driving record profiles for each group. Separate driving record profiles are developed for the following traffic safety indicators, measured 3 years prior to the suspension/revocation action: (a) total crashes, (b) fatal/injury crashes, (c) total traffic convictions, and (d) total incidents (crashes + convictions). RESULTS: The findings clearly show that: (a) suspended/revoked drivers are a heterogeneous group, both demographically and in their driving behavior; (b) some suspended drivers, such as those suspended/revoked for a non-driving offense, have low traffic risks that are not much higher than those of validly-licensed drivers, and; (c) all suspended groups have elevated crash and conviction rates, compared to validly-licensed drivers. DISCUSSION: The implications of these findings for current laws and policies targeting suspended/revoked drivers are discussed, and recommendations for improving these laws/policies are presented. IMPACT ON INDUSTRY: None.     

智能交通与中国的交通安全

在交通运输中 ,安全是最重要的因素。近年来 ,中国交通运输事业的快速发展 ,给人民的生活带来诸多便利 ,但当前的交通安全状况却不容乐观 ,交通事故频繁发生 ,事故死亡人数逐年上升。智能交通系统是一个高科技集成系统 ,它综合运用各种高新技术于整个交通管理系统之中 ,可以系统、全面、高效地提高交通运输的安全性。笔者研究了我国的交通安全问题 ,尤其是公路交通安全问题 ,阐明了如何应用智能交通系统 ,有效地减少交通事故 ,改善交通安全状况 ;指出了我国发展智能交通对于改善交通安全 ,解决交通安全问题的重要意义并展望了我国发展智能交通的前景     

中国道路交通安全现状、成因及其对策

交通事故已经成为威胁人民生命、财产安全的社会公害之一。笔者在大量统计数据的基础上 ,分析了中国道路交通及交通事故发展现状和造成交通事故的主要原因 ;提出解决交通安全问题应“以人为本” ,逐步改善车辆及道路环境的安全状况 ,加强政策法规的建设和实施 ,从而在全社会形成良好的软硬件交通安全环境 ,以期望对预防及减少交通事故的发生起到积极的作用