The Real-World Safety Potential of Connected Vehicle Technology

Objective: This article estimates the safety potential of a current commercially available connected vehicle technology in real-world crashes.

Method: Data from the Centre for Automotive Safety Research's at-scene in-depth crash investigations in South Australia were used to simulate the circumstances of real-world crashes. A total of 89 crashes were selected for inclusion in the study. The crashes were selected as representative of the most prevalent crash types for injury or fatal crashes and had potential to be mitigated by connected vehicle technology. The trajectory, speeds, braking, and impact configuration of the selected in-depth cases were replicated in a software package and converted to a file format allowing “replay” of the scenario in real time as input to 2 Cohda Wireless MK2 onboard units. The Cohda Wireless onboard units are a mature connected vehicle technology that has been used in both the German simTD field trial and the U.S. Department of Transport's Safety Pilot project and have been tuned for low false alarm rates when used in the real world. The crash replay was achieved by replacing each of the onboard unit Global Positioning System (GPS) inputs with the simulated data of each of the involved vehicles. The time at which the Cohda Wireless threat detection software issued an elevated warning was used to calculate a new impact speed using 3 different reaction scenarios and 2 levels of braking.

Results: It was found that between 37 and 86% of the simulated crashes could be avoided, with highest percentage due a fully autonomous system braking at 0.7 g. The same system also reduced the impact speed relative to the actual crash in all cases. Even when a human reaction time of 1.2 s and moderate braking of 0.4 g was assumed, the impact speed was reduced in 78% of the crashes. Crash types that proved difficult for the threat detection engine were head-on crashes where the approach angle was low and right turn–opposite crashes.

Conclusions: These results indicate that connected vehicle technology can be greatly beneficial in real-world crash scenarios and that this benefit would be maximized by having the vehicle intervene autonomously with heavy braking. The crash types that proved difficult for the connected vehicle technology could be better addressed if controller area network (CAN) information is available, such as steering wheel angle, so that driver intent can be inferred sooner. More accurate positioning in the real world (e.g., combining satellite positioning and accelerometer data) would allow the technology to be more effective for near-collinear head-on and rear-end crashes, because the low approach angles that are common in such crashes are currently ignored in order to minimize false alarms due to positioning uncertainty.     

天津沿岸海水中创伤弧菌的PCR检测和定量

采用普通PCR方法和SYBR Green实时定量PCR方法,根据创伤弧菌16S rDNA和23S rDNA基因间隔序列(internal transcribed spacer,ITS)设计引物,对渤海湾天津沿岸海水中的创伤弧菌进行了定性和定量检测.8个样品采集自天津市汉沽区沿岸海水,采集时间分别为2008年7月、10月和2009年3月、5月.PCR检测结果表明,这些样品都能扩增出276 bp的ITS序列,这些序列和GenBank上的同源序列(DQ462478)的相似性为96%～98%.用SYBR Green实时定量PCR方法测定了8个海水样品,样品中创伤弧菌的浓度为7.12×10~3～8.40×10~5 个/L,表明天津沿岸海水存在严重的创伤弧菌污染.     

Fungal diversity in major oil-shale mines in China

As an insufficiently utilized energy resource,oil shale is conducive to the formation of characteristic microbial communities due to its special geological origins.However,little is known about fungal diversity in oil shale.Polymerase chain reaction cloning was used to construct the fungal ribosomal deoxyribonucleic acid internal transcribed spacer(r DNA ITS)clone libraries of Huadian Mine in Jilin Province,Maoming Mine in Guangdong Province,and Fushun Mine in Liaoning Province.Pure culture and molecular identification were applied for the isolation of cultivable fungi in fresh oil shale of each mine.Results of clone libraries indicated that each mine had over 50% Ascomycota(58.4%–98.9%)and 1.1%–13.5%unidentified fungi.Fushun Mine and Huadian Mine had 5.9% and 28.1% Basidiomycota,respectively.Huadian Mine showed the highest fungal diversity,followed by Fushun Mine and Maoming Mine.Jaccard indexes showed that the similarities between any two of three fungal communities at the genus level were very low,indicating that fungi in each mine developed independently during the long geological adaptation and formed a community composition fitting the environment.In the fresh oil-shale samples of the three mines,cultivable fungal phyla were consistent with the results of clone libraries.Fifteen genera and several unidentified fungi were identified as Ascomycota and Basidiomycota using pure culture.Penicillium was the only genus found in all three mines.These findings contributed to gaining a clear understanding of current fungal resources in major oil-shale mines in China and provided useful information for relevant studies on isolation of indigenous fungi carrying functional genes from oil shale.     

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。     

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。     

Re-use of remediated soils for the bioremediation of waste oil sludge

We investigated the possibility of re-using remediated soils for new bioremediation projects by spiking these soils with waste oil sludge in laboratory based microcosms. The level of Total Petroleum Hydrocarbon (TPH) reduction was high (>80%) in naturally attenuated microcosms and was not significantly improved by biostimulation, bioaugmentation and the combined treatment of bioaugmentation and biostimulation by week 12. This indicated that the observed TPH reduction might have been related to the soil's inherent hydrocarbon-degrading potential. Microbial community analysis (16S rDNA and ITS-based Denaturing Gradient Gel Electrophoresis fingerprints) confirmed the dominance of hydrocarbon degrading genera such as Alcanivorax and Scedosporium. Cluster and Shannon diversity analysis revealed similar but stable bacterial and fungal communities in naturally attenuated and amended microcosms indicating that rapid reduction in TPH may not always be accompanied by changes in soil microbial communities. This study has therefore shown that soils previously used for bioremediation can have an improved hydrocarbon degrading potential which was successfully re-harnessed for new projects. This ability to re-harness this potential is attractive because it substantially reduces operational costs as no additional bioremediation treatments are needed. It can also extend a landfill's lifespan as soils can be re-used again before landfill disposal.     

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。     

公路运输化学事故应急救援体系研究

以动态源的定义为基础 ,结合危化品公路运输特殊性 ,阐述了危化品在公路运输过程中发生化学事故后应急救援的原则、工作特点与基本要求 ;提出化学事故应急救援中的基本任务是控制危险源 ,抢救受害人员 ,指导并组织群众疏散、自救和做好事故现场清理洗消工作 ,消除危害后果 ;提出公路运输化学事故应急救援预案系统建设的总体目标是 ,在应用ITS智能交通系统对动态源精确定位的基础上 ,建立公路运输化学事故应急救援预案动态库及应急救援组织保障系统和应急救援技术支持系统 ,一旦事故发生 ,能够做到尽快有效处理 ,最大限度地减小或消除事故损失。     

一株蒽降解菌的分离鉴定及其降解特性研究

从石油污染土壤中筛选出一株蒽的高效降解菌株JUST-1,JUST-1可在以蒽为唯一碳源的培养基中生长,能利用蒽的最高浓度为70mg/L左右。经形态学观察并进行ITS序列分析,初步判断菌株JUST-1属于尖镰孢菌(Fusarium oxysporum)或该菌的一个株系。JUST-1的菌丝呈白色或粉红色,并存在三类孢子,分别为小型分生孢子(microconidia)、大型分生孢子(macroconidia)和厚垣孢子(chlamydospores),但大孢子分隔数较少,隔膜1～2个。JUST-1菌株为好氧菌。投菌量、初始蒽浓度、pH和H_2O_2浓度是影响蒽降解效率的因素。JUST-1菌株对蒽的最适宜降解条件为:蒽浓度40mg/L,投菌量10%～20%,pH7.0～8.0。在此条件下,摇床培养5d后,葸去除率可达70%以上。     

南京玄武湖微囊藻水华种类组成的研究

2005-08～2006-10采集蓝藻水华样品, 通过形态学特征和ITS序列分子标记的方法对南京玄武湖水华的优势种类进行了鉴定. 结果表明,玄武湖水华主要由微囊藻构成, 通过形态特征鉴定主要种类为铜绿微囊藻(M. aeruginosa)、M. novacekii 和惠氏微囊藻(M. wesenbergii). 3种藻的生物量在水华中的相对比例分别为30%～45%、35%～40%和10%～15%. 采用分子标记的方法对２种优势种类进行了分子鉴定. PCR扩增ITS序列并进行测序, 通过基因序列比对和基于ITS序列的系统发生树分析, 进一步确定了优势种类为M. aeruginosa和M. novacekii; 通过检测产毒基因mcyB来确认2株优势微囊藻的产毒特性, PCR扩增结果均出现了大约为780 bp的特异性片段, 表明这2种藻均为产毒种. 对水华提取物的高效液相色谱(HPLC)测定表明, 玄武湖水华中微囊藻毒素的种类主要是MC-LR和MC-RR.