Effect of Pavement Condition on Traffic Crash Frequency and Severity in Virginia

dc.contributor.authorMohagheghi, Alien
dc.contributor.committeechairAbbas, Montasir M.en
dc.contributor.committeememberTrani, Antonio A.en
dc.contributor.committeememberWang, Linbingen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2020-10-01T08:00:41Zen
dc.date.available2020-10-01T08:00:41Zen
dc.date.issued2020-09-30en
dc.description.abstractPrevious studies show that pavement condition properties are significant factors to enhance road safety and riding experience, and pavements with low quality might have inadequate performance in terms of safety and riding experience. Pavement Management System (PMS) databases include pavement properties for each segment of the road collected by the agencies. Understanding the impact of road characteristics on crash frequency is a key step to prevent crashes. Whereas other studies analyzed the effect of different characteristics such as International Roughness Index (IRI), Rutting Depth (RD), Annual Average Daily Traffic (AADT), this thesis analyzed the effect of Critical Condition Index (CCI) on crash frequency, in addition to the other factors identified in previous studies. Other characteristics such as Percentage of Heavy Vehicles, Road Surface Condition, Road Lighting Condition, and Driver Conditions are taken into the consideration. The scope of the study is the interstate highway system in Fairfax County, Virginia. Negative Binomial, Least Square and Nominal Logistic Models were developed, showing that the CCI value is a significant factor to predict the number of crashes, and that it has different effect for different values of AADT. The result of this study is a substantial step towards developing an integrated transportation control and infrastructure management framework.en
dc.description.abstractgeneralMany factors cause crashes in the roads. Although there is a common sense that road characteristics such as asphalt quality are important in terms of road safety, there are few studies that scientifically prove that statement. In addition, asphalt maintenance decisions making process is mainly based on cost benefit optimization, and traffic safety is not considered at the process. The purpose of this study is to analyze crashes and road characteristics related to each crash to understand the effect of those characteristics on crash frequency, and eventually, to build a model to predict the number of crashes at each part of the road. The model can help transportation agencies to have a better understanding in terms of safety consequences of their infrastructure management plans. The scope of this study is the highway interstate system in Northern Virginia. Results suggest that pavement condition has a significant impact on crash frequency.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:27195en
dc.identifier.urihttp://hdl.handle.net/10919/100129en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTraffic Safety Analysisen
dc.subjectPavement Management Systemen
dc.subjectPavement Condition Assessmenten
dc.subjectAsphalt Concrete Pavementen
dc.subjectCritical Condition Indexen
dc.subjectInternational Roughness Indexen
dc.subjectRutting Depthen
dc.subjectInterstate Highway Systemen
dc.subjectVirginiaen
dc.titleEffect of Pavement Condition on Traffic Crash Frequency and Severity in Virginiaen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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