Conference Proceedings (VTTI)
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Browsing Conference Proceedings (VTTI) by Content Type "Presentation"
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- 30 Years – 20 State DOTs: Trends in Pavement Management observed through real world Implementation at the State DOT LevelZavitski, Jeffrey L.; Piane, Robert R. (2013-06-04)Since the first International Conference on Managing Pavement Assets 30 years ago in 1985, there has been continuous enhancement and evolution of pavement management system (PMS) technology to produce more effective recommendations coming out of an agency's PMS. Improvements in data collection, performance measures, deterioration modeling, dynamic segmentation, treatment algorithms, triggering mechanisms and optimization technologies have led to significant improvements in PMS strategy recommendations as well as the acceptance of those recommendations in both centralized and de-centralized State Departments of Transportation (DOT). Significant efforts have also been invested in methodologies and technologies to integrate PMS into an overall asset management system (AMS) at the State DOT level utilizing cross asset optimization technologies. This paper will examine the evolution of pavement management from the desktop environment to today's enterprise pavement management systems within 20 State DOTs that use a common software platform and present significant changes in pavement management methodologies that lead to increased use and acceptance of the PMS recommendations and adoption within the agency. It will also examine current trends that will impact the systems of tomorrow including integration with other decision making tools, capturing field data, and alternative approaches to optimization.
- 3D Mapping of Pavements: Geometry and DTMLaurent, John (2014-09)
- Accelerated Testing and Instrumentation: A Canadian Case StudyTighe, Susan L. (2015-06-04)The primary objective of this paper is to describe how the CPATT Test Track is used to advance Canadian pavement engineering practices through the investigation of the impact of axle loads and environment on flexible and rigid pavement structures. It also discusses how the Track is used as an educational tool for both undergraduate and graduate students. Since construction, over 1,000 undergraduate and graduates have not only visited the Test Track, but have used the data from the Test Track for course assignments and other research. It has been a valuable and strategic asset for both research and education.
- Achieving High Correlations of Inertial Profilers with Reference Profilers at the Smart Roadde León Izeppi, Edgar; Toom, Paul (2014-09-16)
- Addressing Uncertainties of Performance Modelling with Stochastic Information Packages – Incorporating Uncertainty in Performance and Budget ForecastsKadar, Peter; Martin, Tim; Baran, Michelle; Sen, Ranita (2015-05-19)A large volume of data is collected world-wide to feed pavement management systems (PMS). The data is typically condensed to characterize pavement sections or smaller sub-networks by using statistical measures mostly averages. In this process valuable information is lost, thus increasing the likelihood of providing inaccurate or in some cases misleading answers. The pitfalls of using averages can be avoided by utilizing the full data set and treating each data set as an entity or stochastic information packet (SIP). Modeling with SIPs means that the input as well the output of the modeling is a distribution as opposed to the singular outcome of deterministic models. The resulting distribution allows determination of the probability of the outcome besides its predicted value. Budget and condition forecasts therefore may include not only the future condition and budget requirements, but their reliability and consequently the level of associated risks. Managing agencies and contractors may choose the budget scenario best reflecting their level of risk acceptance or tolerance. Modeling with SIPs builds on deterministic models by expanding their outcomes into full distributions. Working with arrays (SIPs) requires using a novel approach that is described and illustrated in the paper.
- Advanced Automated Detection Analysis and Classification of Cracks in PavementScott, Dennis (2014-09)
- Advancing Pavement Surface Evaluation to Support Engineering and Investment DecisionsDaleiden, Jerome; Burchett, Thomas; Mergenmeier, Andy (2015-05-01)The American Association of State Highway and Transportation Officials (AASHTO's) Pavement Rutting and Cracking Quantification Expert Task Group (ETG) was formed in 2006 with Federal Highway Administration (FHWA) funding to provide program guidance and assistance in development and enhancement of standards for pavement rutting and asphalt pavement surface cracking. The ETG was formed with subject matter experts to represent AASHTO, FHWA, the American Society for Testing and Materials (ASTM) Committee E-17 on Vehicle-Pavement Systems, Transportation Research Board (TRB), the Long Term Pavement Performance (LTPP) Program, academia, and industry. Revised data collection and analysis protocols have been produced and evaluations are being initiated to identify how best to continue the development process.
- Advancing Pavement Surface Evaluation to Support Engineering and Investment DecisionsDaleiden, Jerome (2014-09)
- Analysis of Driver Behavioral Adaptation to the Lateral Drift Warning SystemGreenstein, A. (2014-08-27)
- Analysis of the Evolution of Flexible Pavement Condition Based on LTPP SPS-5 SectionsAzevedo, Joana; Capitão, Silvino; Rasteiro, Deolinda; Picado-Santos, Luís (2015-06-04)The American LTPP program has one of the greatest amounts of stored information regarding pavement characteristics and the evolution of their condition on a network. This is a valuable tool to support decision-making in what concerns maintenance and rehabilitation of pavements carried out by highway infrastructure agencies. This paper presents a study carried out to analyze the evolution of pavement conditions of several SPS-5 test sections, which were included in pavement rehabilitation studies. The evaluation considers approximately 15 years of data records, in California, Texas and Mississippi. In what concerns the development of pavement distresses, the evolution of longitudinal cracking, transverse cracking, and fatigue cracking (alligator cracking), International Roughness Index (IRI) and rut depth were analyzed. The evolution of pavement conditions represented by indicators related to the analyzed pathologies was considered as a function of several variables linked to rehabilitation techniques, such as preparation of the working surface (milling before construction of a new layer), thickness of overlay (50 or 125 mm) and the type of mixture applied (a new mixture or a mixture incorporating about 30% of recycled material). For the situations in which data were consistent and in sufficient quantity, multivariate regression analysis are presented in order to predict the evolution of pavement conditions with time, taking into account a set of explanatory variables related to the rehabilitation techniques applied and the traffic on pavements. The aggregate analysis of data for each state allowed us to conclude that preparation of the surface by milling, increasing thickness of overlay and the use of new mixtures or recycled asphalt interfere with the evolution of degradation. The influence of these factors varies for different types of pathologies under analysis.
- Assessing the Impacts of Pavement Surface Condition on the Performance of Signalized IntersectionsHussein, Nasreen A.; Hassan, Rayya A.; Evans, Robert (2015-06-04)Signalized intersections are one of the most dangerous places on the road network as they carry a very high crash risk. This may be exacerbated by inadequate pavement surface condition. The main objective of this study was to assess the effect of pavement surface condition (in terms of skid resistance, roughness and rutting) at intersections and approaches on users' safety. In particular, this paper studied the change in crash frequency for numerous signalized intersections before and after surface treatment. Around one hundred sites were selected based on historical crash incident data and pavement maintenance records. Pavement condition data was extracted for these sites one year before and one year after surface treatment. For all sites, a minimum of three years crash data was used before and after treatment. Reported in this paper are the findings of an assessment of the changes in crash rates, types and severity due to surface treatment. Overall, assessment of the effect of surface treatment revealed a statistically significant reduction in crash rates of 0.49 at 95% confidence level with a p value of 0.006, based on a paired t-test. Negative binomial regression analysis was performed using pavement condition data, traffic volume and speed limit as the predictor variables of crash frequency. The results showed that both traffic volume and the interaction between traffic volume and skid resistance were significant contributors to the crash occurrence. However, for after treatment no independent variable had a significant contribution to the crash occurrence.
- Assessment of Psychophysiological Characteristics of Drivers Using Heart Rate from SHRP2 Face Video DataSarkar, Abhijit; Doerzaph, Zachary R.; Abbott, A. Lynn (2014-08-25)The goal is to
- Extract heart rate from face video
- Understand the behavior of driver, e.g. cognitive load, panic attack, drowsiness, DUI
- Develop automatic video reduction technique
- Devise a tool for future
- The Australian 3D Roughness ExperienceWix, Richard; Barlow, Simon (2015-06-04)Most road agencies are willing to take advantage of new developments in automated data capture if it helps them to better manage their road networks. However, the acceptance process for new technologies can be a long and arduous task for service providers and equipment vendors with ultimate success often depending on how well the equipment can reproduce historical data or whether they meet existing test methods or standards. Road agencies in Australia are only just beginning to utilize 3D1 systems for monitoring their road network surveys and up until now they have been predominantly used for crack measurement. However, these systems are also capable of measuring a variety of other pavement condition indicators, one of which is road roughness. This paper investigates whether the roughness measurements made by a 3D system can meet the current requirements specified in the Australian test methods for measuring pavement roughness.
- Automated Drive Analysis of Naturalistic Driving Studies with Looking-out VideoGunaratne, Pujitha; Martin, Sujitha; Ohn-Bar, Eshed; Satzoda, Ravi; Trivedi, Mohan (2014-08-25)
- Automated Pavement Analysis Past, Present, and FutureMandli, Ray (2014-09)
- Automated Pavement Condition Assessment Using Laser Crack Measurement System (LCMS) on Airfield Pavements in IrelandMulry, Brian; Jordan, Michael; O'Brien, David A. (2015-06-04)Pavement condition surveys which identify pavement distress types, severities and quantities and provide a condition index or rating are an essential part of any pavement management system and an invaluable tool in the evaluation of a pavement's performance. Traditionally, distress data has been collected manually on foot, where the pavement is examined by eye, and the distress data is measured by hand. For airfield pavements, this often involves significant disruption to or closure of runways which can be very inconvenient and costly. Further modifications in Ireland have led to the development of more rapid visual inspection methods using a driven windshield survey procedure and more recently, using forward view digital video. This paper describes a case study where automated data collection and processing using Laser Crack Measurement System (LCMS) technology was used to establish and graphically report the pavement condition on two major runways at Dublin and Cork Airports, Ireland. The runways at both airports were constructed with asphalt-surfaced pavements. The data collection for the study included manual walking surveys, visual surveys from forward view digital video, and the collection of intensity and range three-dimensional (3D) imagery using an LCMS mounted on a high speed vehicle. The type, severity and extent of the pavement distress data were identified from the manual survey, the digital video, and using automated extraction from the LCMS 3D imagery. The data were processed and evaluated using the Micro PAVER pavement management system and the condition reported using the US Army Corps of Engineers Pavement Condition Index (PCI). The imagery and distress data from the LCMS survey were graphically reported using colour-coded thematics in ArcGIS and Google Earth GIS formats, and the detailed distress data was also mapped in AutoCAD layers. The paper examines and compares the pavement condition results obtained from the manual, video and LCMS data collection methods, and outlines the findings in using LCMS technology to automatically identify, geo-locate and graphically report pavement condition and distress data for airfield pavements.
- Can cab engineering create passive improvements in driver sleep, health, and fuel efficiency?Loczi, J.; Olson, Rebecca Lynn (2014-08-25)
- Canadian Naturalistic Driving StudyHankey, Jonathan M. (2014-08-25)