基于GIS的太原市街道机动车污染物空间分布特征分析

在研究太原市机动车污染现状的基础上,结合太原市机动车排放因子模型Mob ile6和污染物扩散模型OSPM的计算结果,在G IS平台上绘制了太原市冬夏两季道路机动车污染物排放强度分布图和道路交通污染物浓度分布图,并对可视化结果作了科学的分析,研究结果表明：（1）太原市冬季街道污染总体上要高于夏季,这种趋势以CO的表现尤为明显;（2）街道NOX小时浓度超标率比CO小时浓度超标率更高,在研究的56条路段中,CO小时浓度都没有超过国家二级标准,NOX小时浓度超标率达38.9%（夏季）;（3）NOX污染主要集中在中心区,而建成区周边道路某些路段污染也较严重。     

汽油车非常规污染物排放特性研究

选择3种不同排量的典型汽油车,基于国Ⅲ标准的轻型车排放测试循环,用SKC采样泵和2, 4-DNPH、Tenax TA采样管采集尾气中的非常规污染物,利用高效液相色谱仪和热脱附气相色谱质谱联用仪分析汽油车排放中醛酮类化合物和挥发性有机物的组成及含量,同时利用电子低压冲击仪研究了其颗粒物排放的粒径和质量浓度分布特征.结果表明,不同汽油车之间非常规污染物的比排放值有较大差异,3辆汽油车总醛酮比排放量分别为36.44、 16.71、 10.43 mg/km,TVOC分别为155.39、 103.75、 42.29 mg/km.排放的醛酮化合物中甲醛、乙醛、丙烯醛、丙酮和环己酮的检出含量较高,占总醛酮量的77.9%～89.7%,且绝大部分为有毒有害物质;废气中挥发性有机物绝大部分为芳香烃和烷烃,分别占总数的31.6%～39.2%和23.1%～27.9%,其中又以芳香烃类化合物甲苯、二甲苯和苯的检出含量最高,平均占TVOC的16.68%、 16.87%和5.23%;其颗粒物排放以超细颗粒物（<100nm）为主,高速工况下排放的颗粒物明显多于低速和中速工况.     

Behavioral pathways in bicycle-motor vehicle crashes: From contributing factors,pre-crash actions,to injury severities

Introduction: This study performed a path analysis to uncover the behavioral pathways (from contributing factors, pre-crash actions to injury severities) in bicycle-motor vehicle crashes. Method: The analysis investigated more than 7,000 bicycle-motor vehicle crashes in North Carolina between 2007 and 2014. Pre-crash actions discussed in this study are actions of cyclists and motorists prior to the event of a crash, including “bicyclist failed to yield,” “motorist failed to yield,” “bicyclist overtaking motorist,” and “motorist overtaking bicyclist.” Results: Model results show significant correlates of pre-crash actions and bicyclist injury severity. For example, young bicyclists (18 years old or younger) are 23.5% more likely to fail to yield to motor traffic prior to the event of a crash than elder bicyclists. The “bicyclist failed to yield” action is associated with increased bicyclist injury severity than other actions, as this behavior is associated with an increase of 5.88 percentage points in probability of a bicyclist being at least evidently injured. The path analysis can highlight contributing factors related to risky pre-crash actions that lead to severe injuries. For example, bicyclists traveling on regular vehicle travel lanes are found to be more likely to involve the “bicyclist failed to yield” action, which resulted in a total 44.38% (7.04% direct effect + 37.34% indirect effect) higher likelihood of evident or severe injuries. The path analysis can also identify factors (e.g., intersection) that are not directly but indirectly correlated with injury severity through pre-crash actions. Practical Applications: This study offers a methodological framework to quantify the behavioral pathways in bicycle-motor vehicle crashes. The findings are useful for cycling safety improvements from the perspective of bicyclist behavior, such as the educational program for cyclists.     

Evaluation of driver performance with a prototype cyber physical mid-block crossing advanced warning system

Introduction: Using connected vehicle technologies, pedestrian to vehicle (P2V) communication applications can be installed on smart devices allowing pedestrians to communicate with drivers by broadcasting discrete safety messages, received by drivers in-vehicle, as an alternative to expensive fixed-location physical safety infrastructure. Method: This study consists of designing, developing, and deploying an entirely cyber-physical P2V communication system within the cellular vehicle to everything (C-V2X) environment at a mid-block crosswalk to analyze drivers’ reactions to in-vehicle advanced warning messages, the impacts of the advanced warning messages on driver awareness, and drivers’ acceptance of this technology. Results: In testing human subjects with, and without, advanced warning messages upon approaching a mid-block crosswalk, driver reaction, acceptance, speed, eye tracking data, and demographic data were collected. Through an odds ratio comparison, it was found that drivers were at least 2.44 times more likely to stop for the pedestrian with the warning than without during the day, and at least 1.79 times more likely during the night. Furthermore, through binary logistic regression analysis, it was found that driver age, time of the day, and the presence of the advanced warning message all had strong, significant impacts with a confidence value of at least 98% (p < 0.02) on the rate at which drivers stopped for the pedestrian. Conclusions: The results from this study indicate that the advanced warning message sent within the C-V2X had a strong, positive impact on driver behavior and understanding of pedestrian intent. Practical Applications: Pedestrian crashes and fatality rates at mid-block crossings continue to increase over the years. Connected vehicle technology utilizing smart devices can be used as a means for communications between pedestrians and drivers to deliver safety messages. State and local city planners should consider geofencing designated mid-block crossings at which this technology operates to increase pedestrian safety and driver awareness.     

事故车辆影响下的城市三车道道路交通流仿真

为探究事故车辆对城市三车道道路交通影响机制,首先,分析考虑事故车辆的城市三车道道路交通流特征;然后,构建左车道优先且考虑主动抢道和被动抢道行为的元胞自动机交通流模型;最后;研究事故持续时间td变化时事故车辆分别位于M道和R道的城市道路交通流演化。结果表明:事故车辆会形成交通瓶颈,呈现上游车辆聚集下游车辆稀疏的时空特征,诱发交通拥堵,事故车辆对三车道交通影响明显小于两车道情形;且事故车辆位于R车道对道路交通流影响比事故车辆位于M车道更小,但这种影响的差异随进车率pe增加而减小。     

Quantified risk assessment on life and property loss from road collision vehicle fires with hydrogen-fueled tank

Hydrogen fuel cell vehicles pose hazards different from conventional vehicles. This paper performs a risk assessment on road collision vehicle fires with hydrogen-fueled tank of 70 MPa. The high voltage battery fire caused by road collision can lead to onboard hydrogen release or explosion. Events progressions are analyzed and typical hydrogen consequences are evaluated quantitatively, including hydrogen jet fires and tank catastrophic rupture. Perimeters around the accident scene are proposed for the safety of general public and first responders, respectively. Risks of fatalities, injuries, and damages are all quantified in financial terms to make it possible to combine and compare.     

南宁市区交通环境空气颗粒物中碳组分的污染特征分析研究

含碳颗粒物是大气颗粒物的重要组成部分,对人体健康产生很大的威胁.分别于2012年夏季及2013年冬季在南宁市选取六条主要交通干道采集了PM10、PM2.5样品,分析测定了其中的碳组分.结果表明,碳组分浓度季节变化明显.碳组分在细颗粒物中占有比重比在可吸入颗粒物中大.存在二次有机碳污染.对8种碳组分丰度分析说明南宁市大气颗粒物中碳组分的主要来源是燃煤、机动车尾气及生物质样品燃烧.     

油田汽车安全驾驶技术

介绍了油田汽车下长坡、在发动机排气制动、在泥泞和湿滑的路面上行驶、在冰雪道路上行驶、在上坡道上起步、平时停车时等6个方面应该注意的安全技术问题,以及平时行车应该注意的安全、健康和环境问题。     

北京地区第五阶段在用轻型车OBD监测频率的特征分析

随机采集北京地区200辆满足第5阶段排放标准在用车的车载诊断系统（OBD）的IUPR（OBD监测频率）数据,测试了4种典型车系的在用车在实际道路行驶工况下IUPR各监测项的特征分布,并和NEDC工况下的实验结果进行对比.结果表明：采集数据车辆的OBD系统均能实现对催化器和氧传感器的监控,对EGR和次级氧传感器的监控也可分别达到74%和91%;在用车平均点火循环3.9次才能满足一次目前IUPR的监测条件;各监测项IUPR均值均远大于国五标准限值0.10,但各IUPR监测值分布存在差异,催化转化器和氧传感器的达标率均为92%;实验室NEDC模拟工况基本能实现对各车系机动车尾气排放控制的监测,但4条实际道路测试结果则表明不同车系IUPR监测项分子+1的差异较大;拥堵路况的低速工况下OBD系统难以实现对车辆尾气排放控制系统各监测项的有效监测.因此,需结合北京实际路况进一步完善在用车辆OBD系统的监测条件,实现对北京在用车尾气排放控制系统的有效监控.