汽车制动系统的匹配设计

通过对汽车制动系统的原理及结构性能的探讨,进一步掌握整车新产品开发设计中制动系统的匹配计算.     

Investigation of seat belt use among the drivers of different education levels

Seat belt use habit has been investigated according to the education level of drivers. Copies of a questionnaire were distributed to 1000 participants of four different education levels. Factors such as seat belt usage habit, restricting factors and crash data have been investigated. Data have been analyzed with SPSS 15.0 software. Increased level of education leads to increased seat belt usage, lower numbers of crashes and crash severities. The factors restricting seat belt use are lack of habit, discomfort and short distance driving. The use of precaution signal and increases in comfort can increase seat belt usage. The primary and high school education on traffic safety and seat belt usage has been serving the purpose.     

基于AHP法的诱发露天矿作业现场碰撞事故危险点重要度排序

露天矿作业现场运行的设备碰撞事故属于安全生产重大事故,尽管发生并不频繁但是同类事故依然在生产中发生。控制诱发该类事故的危险点是现场安全管理的重点,根据现场的事故案例运用AHP法,通过对危险点排序找出其中的重要度,确定碰撞事故中的主要诱发因素,以此在动态生产中识别系统关键节点的危险性,找到预防同类碰撞事故的有效措施。由于诱发危险点在生产中的复杂性,AHP法解决的只是一段时间内的问题,但也为快速掌握安全预控问题提供了一种研究思路。这样在管理资源有限的条件下,为工艺运行的安全预防和控制提供可靠的保障。     

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.     

考虑驾驶员反应时间的车辆碰撞预警模型

为了保证车辆在行驶过程中的安全性,提出了一种考虑驾驶员反应时间的车辆碰撞预警模型,改进了传统模型中驾驶员反应时间定值化的缺点。首先,依据车辆的制动过程分析了驾驶员反应时间对制动距离的影响。其次,设计驾驶员反应时间的模糊推理算法,选取驾龄、疲劳强度和应变能力3个主要因素作为评价指标来计算反应时间。最后,采用分等级的预警策略建立考虑驾驶员反应时间的碰撞预警模型,并通过Carsim-Matlab/Simulink联合仿真与传统模型进行对比分析。结果表明,设计的预警模型可以对不同类型的驾驶员进行差异化碰撞预警,在30 km/h和80 km/h两种车速下实际停车距离与理论值的最大误差为8%。     

电动单梁起重机吊具冲顶引发起升电机坠落事故分析

针对一起电动单梁起重机吊具冲顶并引发起升电机坠落的起重作业事故,分析了事故起重机电气控制系统和现场紧急处置中存在的问题,指出了导致事故发生的直接原因和主要原因;并从完善起重机电气控制系统本质安全性和加强起重机械使用安全管理的角度提出了相应建议和意见,对预防类似事故的发生具有借鉴作用.     

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...     

基于环境保护的机动车税优化建议

当前区域性大气污染问题突出,机动车使用造成的污染问题不可忽视。为解决区域性的大气污染问题,机动车税费的污染减排调控功能日益被政府和学者重视。研究围绕"如何使机动车税更好发挥环境保护的效果"的问题,比较了中日机动车税的结构和性质,分析了在购买、保有和使用等不同环节的机动车税的特点以及环保效果,并基于问卷调查分析中国私家车主不同环节机动车税的负担情况。研究表明,在机动车使用环节征收的成品油消费税污染调控效果要优于其他环节的税收;对商业用途的机动车使用征税仅有收入功能没有调控功能,建议将机动车相关税的作用重心从购买环节转移到使用环节上,并对商业用途和私人用途的机动车实施差别税率。