Effect of Temporal Instability of Factors Contributing to Single-vehicle Crash Severity PDF Download
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Author: A. M. Hasibul Islam
Publisher:
ISBN:
Category :
Languages : en
Pages : 53
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Book Description
Author: A. M. Hasibul Islam
Publisher:
ISBN:
Category :
Languages : en
Pages : 53
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Book Description
Author: Simon Washington
Publisher: CRC Press
ISBN: 0429520751
Category : Technology & Engineering
Languages : en
Pages : 496
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Book Description
The book's website (with databases and other support materials) can be accessed here. Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. —The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.
Author: Wan-Hui Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 444
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Book Description
Author: Azad Salim Abdulhafedh
Publisher:
ISBN:
Category :
Languages : en
Pages : 243
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Book Description
Modeling crash severity is an important component of reasoning about the issues that may affect highway safety. A better understanding of the factors underlying crash severity can be used to reduce the degree of crash severity injury, locate road hazardous sites, and adopt suitable countermeasures. In order to provide insights on the mechanism and behavior of the crash severity injury, a variety of statistical approaches have been utilized to model the relationship between crash severity and potential risk factors. Many of the traditional approaches for analyzing crash severity are limited in that they are based on the assumption that all observations are independent of each other. However, given the reality of vehicle movement in networked systems, the assumption of independence of crash incidence is not likely valid. For instance, spatial and temporal autocorrelations are important sources of dependency among observations that may bias estimates if not considered in the modeling process. Moreover, there are other aspects of vehicular travel that may influence crash severity that have not been explored in traditional analysis approaches. One such aspect is the roadway visibility that is available to a driver at a given time that can impact their ability to react to changing traffic conditions, a characteristics known as sight distance. Accounting for characteristics such as sight distance in crash severity modeling involve moving beyond statistical analysis and modeling the complex geospatial relationships between the driver and the surrounding landscape. To address these limitations of traditional approaches to crash severity modeling, this dissertation first details a framework for detecting temporal and spatial autocorrelation in crash data. An approach for evaluating the sight distance available to drivers along roadways is then proposed. Finally, a crash severity model is developed based upon a multinomial logistic regression approach that incorporates the available sight distance and spatial autocorrelation as potential risk factors, in addition to a wide range of other factors related to road geometry, traffic volume, driver's behavior, environment, and vehicles. To demonstrate the characteristics of the proposed model, an analysis of vehicular crashes (years 2013-2015) along the I-70 corridor in the state of Missouri (MO) and on roadways in Boone County MO is conducted. To assess existing stopping sight distance and decision sight distance on multilane highways, a geographic information system (GIS)-based viewshed analysis is developed to identify the locations that do not conform to AASHTO (2011) criteria regarding stopping and decision sight distances, which could then be used as potential risk factors in crash prediction. Moreover, this method provides a new technique for estimating passing sight distance along two-lane highways, and locating the passing zones and no-passing zones. In order to detect the existence of temporal autocorrelation and whether it's significant in crash data, this dissertation employs the Durbin-Watson (DW) test, the Breusch-Godfrey (LM) test, and the Ljung-Box Q (LBQ) test, and then describes the removal of any significant amount of temporal autocorrelation from crash data using the differencing procedure, and the Cochrane-Orcutt method. To assess whether vehicle crashes are spatially clustered, dispersed, or random, the Moran's I and Getis-Ord Gi* statistics are used as measures of spatial autocorrelation among vehicle incidents. To incorporate spatial autocorrelation in crash severity modeling, the use of the Gi* statistic as a potential risk factor is also explored. The results provide firm evidence on the importance of accounting for spatial and temporal autocorrelation, and sight distance in modeling traffic crash data.
Author: Marjorie Peden
Publisher: DIANE Publishing
ISBN: 1437904068
Category : Transportation
Languages : en
Pages : 67
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Book Description
Every day thousands of people are killed and injured on our roads. Millions of people each year will spend long weeks in the hospital after severe crashes and many will never be able to live, work or play as they used to do. Current efforts to address road safety are minimal in comparison to this growing human suffering. This report presents a comprehensive overview of what is known about the magnitude, risk factors and impact of road traffic injuries, and about ways to prevent and lessen the impact of road crashes. Over 100 experts, from all continents and different sectors -- including transport, engineering, health, police, education and civil society -- have worked to produce the report. Charts and tables.
Author:
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 123
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Book Description
This report examines contributing factors to single vehicle off-roadway, rear-end, and lane change crashes involving light vehicles (passenger cars, sport utility vehicles, vans, and pickup trucks). The analysis is based on crash data obtained from the National Automotive Sampling System's 1997-2000 Crashworthiness Data System (CDS) and 2000 General Estimates System (GES). Research on crash contributing factors was divided into three phases: phase one provides a comparison of CDS and GES contributing factor distributions; phase two examines crash severity in relation to contributing factors; and phase three determines contributing factors based on pre-crash scenarios. This report classifies crash severity into severe and less severe crashes based on whether or not the vehicle involved in a crash was towed from the scene due to damage. Results from phase one indicate that contributing factor distributions for the CDS and GES matched fairly closely; however, discrepancies were found for inattention and speeding. Phase two results found that contributing factors were similar in the majority of crash types regardless of the severity of the crash; however, the relative frequency of alcohol/drugs and sleepy/drowsy were found to be influenced by crash severity for single vehicle off-roadway and rear-end crash types. Phase three results showed that the contributing factors were influenced more by the critical event than the vehicle movement prior to the critical event in pre-crash scenarios leading to single vehicle off-roadway crashes.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309167922
Category : Political Science
Languages : en
Pages : 184
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Book Description
The Oklahoma City bombing, intentional crashing of airliners on September 11, 2001, and anthrax attacks in the fall of 2001 have made Americans acutely aware of the impacts of terrorism. These events and continued threats of terrorism have raised questions about the impact on the psychological health of the nation and how well the public health infrastructure is able to meet the psychological needs that will likely result. Preparing for the Psychological Consequences of Terrorism highlights some of the critical issues in responding to the psychological needs that result from terrorism and provides possible options for intervention. The committee offers an example for a public health strategy that may serve as a base from which plans to prevent and respond to the psychological consequences of a variety of terrorism events can be formulated. The report includes recommendations for the training and education of service providers, ensuring appropriate guidelines for the protection of service providers, and developing public health surveillance for preevent, event, and postevent factors related to psychological consequences.
Author: Massimo Filippi
Publisher: Cambridge University Press
ISBN: 1107035945
Category : Medical
Languages : en
Pages : 393
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Book Description
A comprehensive survey of best practice in using diagnostic imaging in acute neurologic conditions. The symptom-based approach guides the choice of the available imaging tools for efficient, accurate, and cost-effective diagnosis. Effective examination algorithms integrate neurological and imaging concepts with the practical demands and constraints of emergency care.
Author: Dominique Lord
Publisher: Emerald Group Publishing
ISBN: 1787148920
Category : Transportation
Languages : en
Pages : 511
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Book Description
This book increases the level of knowledge on road safety contexts, issues and challenges; shares what can currently be done to address the variety of issues; and points to what needs to be done to make further gains in road safety.
Author: Gianluca Dell'Acqua
Publisher: CRC Press
ISBN: 1315281880
Category : Science
Languages : en
Pages : 1134
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Book Description
Transport Infrastructure Asset management in transport infrastructure, financial viability of transport engineering projects/ Life cycle Cost Analysis, Life-Cycle Assessment and Sustainability Assessment of transport infrastructure/ Infrastructures financing and pricing with equity appraisal, operation optimization and energy management/ Low-Volume roads: planning, maintenance, operations, environmental and social issues/ Public-Private Partnership (PPP) experience in transport infrastructure in different countries and economic conditions/ Airport Pavement Management Systems, runway design and maintenance/ Port maintenance and development issues, technology relating to cargo handling, landside access, cruise operations/ Infrastructure Building Information Modelling (I-BIM) / Pavement design and innovative bituminous materials/ Recycling and re-use in road pavements, environmentally sustainable technologies/ Stone pavements, ancient roads and historic railways/ Cementitious stabilization of materials used in the rehabilitation of transportation infrastructure. Transport Systems Sustainable transport and the environment protection including green vehicles/ Urban transport, land use development, spatial and transport planning/ Bicycling, bike, bike-sharing systems, cycling mobility/ Human factor in transport systems/ Intelligent Mobility: emerging technologies to enable the smarter movement of people and goods/Airport landside: access roads, parking facilities, terminal facilities, aircraft apron and the azdjacent taxiway/ Transportation policy, planning and design, modelling and decision making/ Transport economics, finance and pricing issues, optimization problems, equity appraisal/ Road safety impact assessments, road safety audits, the management of road network safety and safety inspections/ Tunnels and underground structures: preventing incidents-accidents mitigating their effects for both people and goods/ Traffic flow characteristics, traffic control devices, work zone traffic control, highway capacity and quality of service/ Track-vehicle interactions in railway systems, capacity analysis of railway networks/ Risk assessment and safety in air and railway transport, reliability aspects/ Maritime transport and inland waterways transport research/ Intermodal freight transport: terminals and logistics.
