Thesis (M.S. in Operations Research)--Naval Postgraduate School, December 2002. / Thesis advisor(s): Steven E. Pilnick, Thomas H. Hoivik. Includes bibliographical references (p. 65-66). Also available online.

Cross-centerline crashes occur rarely in the United States but are especially severe. This type of crash is characterized by one vehicle departing over a centerline and encountering a vehicle traveling in the opposite direction. In recent years, automakers have started developing and implementing lane departure warning (LDW) on newer vehicles. This system provides the potential to reduce or significantly impact the frequency of cross-centerline crashes. The objective of this thesis was to estimate the potential crash and injury benefits of a LDW system if installed on every vehicle in the US fleet. This research includes the following 1) a characterization of cross-centerline crashes in the United States today with current and future prevention methods, 2) a reconstruction methodology used for all crashes including rollovers and heavy vehicles, and 3) a simulation model and approach method used to estimate potential benefits of LDW systems on cross-centerline crashes. Cross over to left crashes account for only 4% of non-junction non-interchange crashes but account for 44% of serious injury crashes of the same type. As part of this research, 42 cross-centerline crashes were reconstructed and simulated as if they had a LDW system installed. Accounting for driver capability to react to a LDW alert, crash reduction benefits ranged from 22 – 30%.Using injury risk curves, the probability of experiencing a MAIS2+ injury in a cross-centerline crash was reduced by 29% when using a LDW system. / Master of Science

This work explains development of device which is being designed for aplication in an industrial areas whre an worker can get close to dangerous machines. In each chapter there will be explained result and step by step progress of developing this device. Then there will be description of function and used parts in completed device.

The number of electric vehicles on the road is increasing rapidly every year. Due to the decreased sound produced by these vehicles at low speeds, there is significant concern that pedestrians and bicyclists will be at increased risk of vehicle collisions. This is particularly true for those with vision impairment who cannot rely on visual cues to alert them of an approaching vehicle. This thesis explores pedestrian aural detectability of six electric vehicle additive sounds produced by two additive sound systems: a modified version of the factory equipped system and a prototype exciter transducer-based system. All additive sounds and systems were first evaluated for regulatory compliance at stationary, 10 km/h, and 20 km/h conditions and then pedestrian detectability was assessed using 16 blind folded participants and on-road drive by tests. Participant drive by tests were then replicated using 3D sound field recordings played in a high-fidelity immersive reality lab. Results were used to verify the accuracy of lab environment and its potential applicability to future testing. The exciter transducer acoustic warning system was found to created more uniform sound levels on the passenger and drivers' sides of the vehicle than the factory system but produced lower sound levels on the front side of the vehicle. Additive sound modulation rate was not determined to be a key differentiator in pedestrian detectability and low frequency emphasis sounds were found to have the highest level of pedestrian detectability. As expected, vehicle speed played a critical role in participant detection with the 20 km/h speed condition producing higher average detection distances. The immersive reality lab was found to not replicate on-road environment however a perceived linear offset was observed between the two environments. / Master of Science / The number of electric vehicles on the road increases every year due to growing consumer demand for clean and sustainable transportation. Due to the decreased sound produced by these vehicles at low speeds there is significant concern that pedestrians and bicyclists will be at increased risk of vehicle collisions. This is particularly true for those with vision impairment who cannot rely on visual cues to alert them of an approaching vehicle. This thesis explores pedestrians' ability to detect six electric vehicle additive sounds produced by two sound systems: a modified version of the factory equipped system and a prototype system designed to produce uniform sound around the vehicle. All sounds and systems were evaluated see if they met current regulations at stationary, 10 km/h, and 20 km/h conditions. Pedestrians' ability to detect the vehicle was assessed using 16 blind folded participants and on-road tests where participants were asked to press a button when they heard an approaching vehicle. Participant drive by tests were then replicated using recordings taken on the same section of road and played in a lab environment. Results were used to see if the lab environment matched the results seen on the road. The prototype system created more uniform sound levels on the passenger and drivers' sides of the vehicle than the factory system but consistently produced lower sound levels on the front side of the vehicle. Sound modulation rate was not determined to be a key differentiator in pedestrian detectability and low frequency emphasis sounds were found to be the most easily detected by pedestrians. As expected, vehicle speed played a critical role in participant detection with the 20 km/h speed condition producing higher detection distances. The lab environment was found to not replicate on-road environment however similar offsets and sound ordering was observed between the two environments. Further work will be needed assess and correct this disagreement.

Bakgrund: Att tidigt upptäcka symtom på allvarlig klinisk försämring hos en patient är av stor vikt för att minska lidande och förhindra allvarliga komplikationer. För detta har flera skattningsinstrument utvecklats, däribland olika early warning score-system. Dessa har implementerats på flera håll i världen men det finns indikationer på att det brister i följsamheten till dessa. Syfte: Studiens syfte var att undersöka följsamheten till Early Warning Scores samt de faktorer som påverkar följsamheten. Metod: Studien genomfördes som en litteraturöversikt där 14 vetenskapliga artiklar inkluderades. Studierna hade kvantitativa, kvalitativa och blandade ansatser. Artiklarna söktes i databaserna PubMed, CINAHL och Web of Science. En innehållsanalys av studiernas resultat genomfördes och resultatet sammanställdes i ett antal kategorier. Resultat: Följsamheten visade sig vara högre till observationer av patientens vitalparametrar än till de åtgärdsriktlinjer som finns. Faktorer som påverkar följsamheten var sjuksköterskans kliniska erfarenhet, samarbete mellan professioner, bemanning, felkalkylering, dokumentation och rapportering. Konklusion: Följsamhet till EWS brister på många sätt och flera faktorer påverkar följsamheten. Faktorerna som påverkade följsamheten är sjuksköterskans kliniska erfarenhet, samarbete mellan professioner, felkalkylering, bemanning, dokumentation och rapportering. / Background: Early recognition of serious clinical deterioration is of great importance for minimizing suffering and serious adverse events. For early recognition, several physiological track and trigger systems have been developed, among them the early warning scores. These have been implemented in many places across the world but there is uncertainty about adherence to these systems. Aim: The aim of this study was to investigate adherence to Early warning score-systems and to evaluate what factors affect this adherence. Method: The study was conducted as a literature review including 14 articles with quantitative, qualitative and mixed-methods approaches. Searches were made in the PubMed, CINAHL and Web of Science databases. Content-analysis was used to identify themes. Results: Adherence seems higher to observations than to clinical responses. The main factors affecting adherence are the clinical experience of nurses, collaboration between professions, staffing, miscalculation, documentation and reporting. Conclusion: Adherence to EWS is lacking in many ways and several causes for this have been accounted for. Factors affecting adherence was the clinical experience of nurses, cooperation between professions, staffing, miscalculation, documentation and reporting.

Översvämningar förekommer regelbundet på stora delar av jordklotet. Utgående från de klimatförändringar vi ser idag med, bland annat, kraftigare och intensivare nederbörd är det troligt att det blir fler och större översvämningar framöver. Områden som inte tidigare varit översvämmade kan komma att bli översvämmande.   Varje land eller område med regelbundna översvämningar har någon form av varningssystem. Översikter över olika typer av system för att varna för översvämningar är svåra att finna.   Syftet med denna uppsats är att: Undersöka viktiga principer för effektiva varningssystem för översvämningar som orsakas av kraftig nederbörd och/eller vårflöden. Skapa en systematisk och strukturerad sammanställning över nuvarande system för att varna för översvämningar orsakade av kraftig nederbörd och/eller vårflöden. Ge praktiska exempel på några svenska kommuners system för att varna för översvämningar.   Litteratur- och internetsökningar kring varningssystem för översvämningar samt intervjuer med ”översvämningsansvariga” i Ödeshög och Vetlanda kommuner utgör grunden för informationen i denna uppsats.   Exempel på olika typer av varningssystem för översvämningar presenteras. Saker att tänka på vid val av, och vid drift och underhåll av, automatiska varningssystem belyses.   En indelning (Grust, 2006) av varningssystem i manuella, enkla automatiska och sofistikerade automatiska utökas till en matris med i matrisens andra dimension lokala, avrinningsområdes, nationella, multinationella och globala varningssystem. De i uppsatsen beskrivna exemplen på varningssystem positioneras in i matrisen.   Varningssystem för översvämningar i två svenska kommuner, Ödeshög och Vetlanda, beskrivs och likheter och skillnader mellan kommunernas system presenteras. / Flooding occurs all over the world on a regular basis. Based on the climate change ongoing today with heavier and more intense precipitation we can expect more and larger floods than we have seen before. Areas which have not been flooded earlier may now become flooded.   Every country or area which is flooded on a regular basis has some kind of warning system. Overviews of various types of flood warning systems are difficult to find.   The purpose of this thesis is to: Investigate important principles of effective flood warning systems caused by heavy precipitation and/or spring flood. Create a structured and systematical overview of current flood warning system for floods caused by heavy precipitation and/or spring flood. Describe two local Swedish community´s flood warning systems.   Literature and Internet search covering flood warning systems combined with interviews on site at Ödeshög and Vetlanda forms the basis for the information in this thesis.   Examples of various types of flood warning systems are presented. Issues regarding the selection of, and the operation and maintenance of, automatic warning systems are described.   A grouping (Grust, 2006) of warning systems in manual, simple automatic and sophisticated automatic is expanded to a matrix with the second dimension of the matrix being local, drainage area, national, multinational and global warning systems. The examples of warning systems covered in this thesis are placed in the matrix.   The similarities and differences between the flood warning systems in two local Swedish communities Ödeshög and Vetlanda are described.

Hurricanes and tropical storms occur very frequently in the Central American and Caribbean Region (CA&CR). These extreme weather events produce a lot of rain and consequently a lot of flooding. Damages and loses have been estimated to amount to 13.4 billion dollars in the last ten years. Flood Warning Systems (FEWS) are a key preventive strategy to reduce risk. Technological progress is improving the resources made available for FEWS to be more viable. In spite of the international support for FEWS and the fast development of ICT, there are very few countries in the CA&CR that have succeeded in developing fully operational warning systems that are functioning in a sustainable manner for a long period of time. There is disconnection between the community-based systems and the centralized systems, as well as between the National Meteorological Services (NMS) and the National Hydrological Services (NHS) which tend to work many times in isolation. The general purpose of this work is to unravel the dysfunction/chaos of the way early warning systems are done and provide guidelines to integrate flood warning system at all scales to be used in operational forecasting, particularly for countries in the CA&CR. Flood warning can be seen as a set of sub-systems in which forecasting is only one of those sub-systems. A conceptual framework has been proposed to classify flood warning systems using the spatial and temporal scale at which the flood warning systems operate, subdividing them into Global, Regional, National and Local FEWS. In practice, these systems are not operated in an integrated manner. Emerging technology is available to allow the integration of global- and local-scale forecasting resources in the CA&CR. The Tethys Platform has a series of online tools applicable to flood forecasting. A workflow is given for the use of four apps in Tethys for flood forecasting: (i) Stream flow Prediction Tool; (ii) Reservoir operation tool; (iii) Hydro Viewer Hispaniola; Flood Map Visualization tool.

Advance warning signals (AWS) provide information warning drivers in advance of the end-of-green phase for an approaching signalized intersection. The purpose of this research was to develop guidelines for the placement of AWS in Utah, both conditions to evaluate the need for AWS installation and guidelines for the AWS system design. The conditions were based on literature of other transportation agencies that had similar AWS systems and were developed using the Policy Delphi method. The Policy Delphi method is the development of a specific policy area through the means of discussion by a committee of experts correlating views and information involving opportunity to react and assess different viewpoints until the committee is in agreement over the policies being recommended. Six conditions are recommended and discussed in detail, including: limited sight distance, posted speed, isolated intersection, high crash rate, approach grade, and heavy vehicle traffic volume. The guidelines for the AWS system design included details about three components: AWS component, advance detection component, and signal timing component. An evaluation matrix was developed by the Policy Delphi method for the purpose of evaluating and prioritizing a group of intersections for AWS installation. A total of 24 intersections were identified by the Utah Department of Transportation for this project that helped to develop and verify the conditions and evaluation matrix. The recommended guidelines and evaluation matrix results are described.

臺灣地區過去三十年來，經濟發展快速，國民生活水準亦大幅提升，在各界戮力為經濟打拼，使我國經濟大幅起飛的同時，我們的社會發展卻在重經濟以及社會變遷影響下，逐漸產生一些可能阻礙社會整體健全發展的不正常現象，導致各種社會問題隨之出現，成為社會進步及創造優質生活的絆腳石，為提供政府及民間相關單位制訂或研擬社會問題防制政策時參考，本研究乃以「文獻法」、「主觀經驗法」及「主成份分析」，編製我國社會警報指標，以一數量化指標綜合評量我國社會問題潛在發展趨勢，並以「顯著水準法」訂定警戒線及對各年超過警戒線者發布警報訊號。 依據社會警報指標各領域社會問題警報分析結果， 87年各項社會問題警報速度超過「輕警」者有「家庭問題」及「犯罪問題」等二領域，尤其是「犯罪問題」更超過巨警，若綜合全體社會問題而言，87年綜合警報速度較前幾年緩和；另就近三年各領域社會問題警報速度觀察，平均較前三年快者有「家庭問題」、「犯罪問題」、「貧富不均問題」及「環境問題」等四領域，惟全體社會問題綜合結果，速度略緩。 / Exertion of the people has promoted the growth of the Taiwan economy for over three decades. However, social dysfunctions, resulted from all the emphases at the economic growth and the changes of the collective values, could have obstructed the development of the society as a whole. In order to served as the references in making social policies related, this study tries to organize "the Taiwan Social Warning Indicators" by statistic methods, such as literature search, subjective experience, and principal component. These quantitative indexes are expected to evaluate the potential tendency of the social issues in Taiwan. On the other hand, the statistical significance method is also applied to establish the warning lines and issue the warning signs when the annual increase rate of the indicator's value－the warning speed－ of the social issues are cross the warning line. In accordance with the analysis results of the social warning indicators in this study, the increase of warning speeds of the Taiwan social issues in 1998 regarding "family" and "crime" exceed the level of "light warning". The warning speed of the "crime issue" even exceeds the level of "extremely serious warning" among all. Furthermore, the warning speed of the comprehensive social issues in the same year is estimated at increasing more lightly than those of those issues in last few years. Another finding on the warning speeds of social issues in different fields is that the result of such a research from 1996 to 1998 is much worse in average on "family issue", "crime issue", "unequal fortune distribution issue", and "environmental issue" than that on the same issue from 1993 to 1995. But the warning speed of the social issues as a whole from 1996 to 1998 increases more slowly than that from 1993 to 1995.

The nursing culture of an inpatient pediatric unit was resistant to activating pediatric rapid response team (PRRT) alerts despite guidelines for activation. Nurses routinely assessed patients and assigned a pediatric early warning score (PEWS); however, the level of illness severity was not interpreted consistently among nurses and a PEWS action algorithm did not exist to guide nurses' minimal actions based on the PEWS score. Guided by 3 adult learning theories (Knowles, Kolb, and Bandura) and 1 evaluation model (Kirkpatrick), this staff education project sought to educate pediatric nurses on a PEWS action algorithm and determine whether this project improved nurses' knowledge, situational awareness, and attitude toward activating PRRT alerts. A convenience sample of 30 pediatric nurses completed a preeducation knowledge survey (EKS), attended an interactive PEWS education class, and completed a postEKS. After participating in the class, correct responses on the EKS increased from 43% to 82% and, using the Wilcoxon-signed rank test, a significant increase was noted in nurses' responses to questions related to self-efficacy, factual knowledge, and application. The overall increase in the nurses' self-efficacy and knowledge about the PEWS might enhance critical-thinking skills, foster identification of patients at risk for clinical deterioration, and empower nurses to follow the PEWS action algorithm including activation of PRRT alerts when indicated. This project has the potential to effect positive social change by supporting nurses' actions designed to improve pediatric patient outcomes.