基于实时交通信息的道路机动车动态排放清单模拟研究

以上海市为例开展了实际道路车流分布、行驶工况和车辆技术的实地调查,建立了道路车流、VSP分布和车辆技术数据库.在此基础上,基于实时的车流、车速等交通信息,构建了动态化的道路机动车污染物排放清单模拟方法,并开展了城区典型道路的机动车小时排放模拟案例研究.调查结果表明,上海市城区道路车流以轻型客车和出租车为主,分别占各时段车流总量的48%～72%和15%～43%;VSP分布与平均车速存在较好的规律,各车型VSP峰值随平均车速的上升向高负荷去移动,且峰值逐渐降低;当前上海市车辆以国2和国3车型为主,经过年检站调查结果的校正,国2和国3车型分别占各车型的11%～70%和17%～51%.模拟案例结果显示,道路机动车CO、VOC、NOx和PM日排放峰谷比可达3.7、4.6、9.6和19.8左右,CO和VOC排放主要来自轻型客车和出租车,与车流变化的相关性较好,而NOx和PM排放主要来自重型客车和公交车,且主要集中在早晚高峰时段.采用建立的动态排放模拟方法可实时反映实际道路的机动车排放变化,获取高排放路段和时段,为交通环境管理提供重要的技术手段和决策依据.     

应用IVE模型计算上海市机动车污染物排放

为了解上海市机动车污染现状,建立上海市机动车源排放清单,分别选择上海市中心城区、商业区和收入相对较低区域中的主干道、快速道和次干道3种共9条典型道路,开展机动车技术水平参数、比功率(VSP)分布状况、启动状况等测试,并在此基础上将International Vehicle E-mission(IVE)模型本地化.调查结果表明,上海市区实际道路上轻型客车、出租车、公交巴士、卡车和摩托车(包含助动车)分别占道路总车流量的41.0%、30.8%、15.6%、6.9%和5.7%;从技术组成看,约85%的轻型客车和97%的出租车均安装有三元催化装置,约30%的公交巴士和90%的卡车没有达到欧Ⅰ标准;机动车的VSP分布主要集中在-2.9～1.2 kw·t-1.模式计算结果表明,2004年上海市机动车CO、VOC、NOx和PM排放量分别为57.06×104t、7.75×104t、9.20×104t和0.26×104t;20%的高排放车对总排放量的贡献占到25%～45%;启动过程中排放的CO、VOC和PM占总排放量的15%～25%,NOx仅占总排放量的4.5%.     

北京城区大气多环芳烃的沉降特征

从2006年6月至2007年6月期间采集了北京市区的降尘和大气TSP,分析了其中的PAHs和降尘的粒度。降尘颗粒大部分在100μm以下,体积平均径和中位径D50的范围分别为18.89-53.117μm和11.59-28.98μm。全年降尘平均沉降通量为0.451 9 t/（km2.d）,冬季高,夏秋季低;∑16PAHs的沉降通量平均为4.76 g/（km2.d）,冬季高,夏季低,与同期的大气SO2的API指数显著相关。TSP中的∑16PAHs与降尘中的∑16PAHs具有显著的相关关系,成分谱一致。PAHs的沉降速率变化范围为0.004-5.46 cm/s,夏季高、冬季低。交通沿线∑16PAHs的沉降通量远远高于非交通线的沉降通量。     

Status of recycling end-of-life vehicles and efforts to reduce automobile shredder residues in Korea

The present end-of-life vehicle (ELV) recycle rate and management status during the dismantling stage were investigated to aid the establishment of policies for the management of ELVs by surveying information and using the results gained from questionnaires given to dismantlers. The average recycle rate at the dismantling stage was 44% of the mass of a new vehicle and the rest of the ELV was then compressed and transported to shredding companies to recover mainly the iron content, which averaged 38.7% of the mass of a new vehicle. Nonferrous metals such as copper, antimony, zinc, and aluminum accounted for only 1.5%. The automobile shredder residues (ASRs) were composed of light and heavy fluffs and soil/dust and amounted to 15.8% based on the mass of a new vehicle. The dumping of fluff and inorganic residues in landfill sites, however, will be restricted when new regulations are implemented to reduce the disposal amount to less than 5% of a new car, as has been done in European countries and in Japan. The detailed characteristics of ASR were investigated to suggest appropriate means of treatment such as volume reduction or the utilization of thermal technologies to meet future expected enforcement. Also, some concerns on hazardous pollutant release such as that of dioxins while utilizing such thermal treatment methods were considered. The present on-going research and development projects to meet such future management targets are also introduced.     

车辆事故紧急呼救技术发展综述

综述了车辆事故紧急呼救技术的原理,从车辆事故检测识别技术、移动车辆定位技术、无线通信技术和地理信息系统几方面概述车辆事故紧急呼救技术的研究内容。进一步介绍车辆事故紧急呼救技术的国内外研究和应用现状,并从车辆事故识别技术、地图匹配及组合导航、集群通信及通信网络几方面总结并指出车辆事故紧急呼救技术的关键技术和难点。展望了车辆事故紧急呼救技术的发展趋势,并就我国发展车辆事故呼救技术的可行性和发展方向进行探讨。     

基于模糊聚类的马氏链模型在交通事故预测中的应用

运用模糊聚类分析方法,借助于MATLAB软件,对中国31个地区交通事故的危害程度进行动态分类和综合评价。根据中国1999—2005年31个地区的交通事故4个指标和5个社会经济因素数据,把31个地区分为3类,即轻灾区、较重灾区、重灾区;其中浙江、福建与宁夏的交通事故危害严重,上海、北京与天津的交通状况正在好转,这与客观实际符合。根据模糊聚类的结果,求得交通事故状态转移概率矩阵,利用马氏链模型可预测未来31个地区的交通事故发展趋势。     

汽车整车自然暴露试验评价方法前期研究

主要介绍汽车整车自然暴露试验评价方法,基于整车厂长期进行汽车整车自然暴露试验,对整车进行表观检测、性能检查及其他项目检测,通过分析试验结果,归纳汽车内外饰件常见缺陷,按照失效程度和不同部件类型,为整车耐候性进行等级划分,建立整车系统化评价方法。     

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.     

Effect of enhanced seat belt reminders on driver fatality risk

Objective

Enhanced seat belt reminders in automobiles have been shown to increase belt use rates by approximately 3 percentage points. The objective of this study was to estimate the effect of enhanced seat belt reminders on driver fatality risk.

Method

Data included all passenger vehicle driver deaths and vehicle registration counts in the United States for calendar years 2000-2007. Driver fatality rates per vehicle registration per year were compared for otherwise identical vehicle models with and without enhanced seat belt reminders.

Results

Driver fatality rates were 6% lower for vehicles with enhanced seat belt reminders compared with vehicles without enhanced belt reminders. After adjusting for vehicle age differences, the estimated effect of enhanced belt reminders on driver fatality risk ranged from a 9% reduction for General Motors vehicles to a 2% increase for Honda vehicles. Combining all manufacturers, enhanced belt reminders reduced fatality risk by approximately 2%. Although not statistically significant, the 2% reduction in fatality risk agrees with what should be expected from a 3 percentage point increase in seat belt use rates.

Conclusions

Enhanced seat belt reminders have raised driver belt use rates and reduced fatality rates, but more aggressive systems may be needed for some drivers. It can be inferred that nonfatal injury rates also have been reduced.

Impact on Industry

Manufacturers should be encouraged to put enhanced seat belt reminders on all vehicles as soon as possible.