Literatura académica sobre el tema "Wegh in Motion Systems"

This research focuses on the data quality control methods for evaluating the performance of Weigh-In-Motion (WIM) systems on Oregon highways. This research identifies and develops a new methodology and algorithm to explore the accuracy of each station's weight and spacing data at a corridor level, and further implements the Statistical Process Control (SPC) method, finite mixture model, axle spacing error rating method, and data flag method in published research to examine the soundness of WIM systems. This research employs the historical WIM data to analyze sensor health and compares the evaluation results of the methods. The results suggest the new triangulation method identified most possible WIM malfunctions that other methods sensed, and this method unprecedentedly monitors the process behavior with controls of time and meteorological variables. The SPC method appeared superior in differentiating between sensor noises and sensor errors or drifts, but it drew wrong conclusions when accurate WIM data reference was absent. The axle spacing error rating method cannot check the essential weight data in special cases, but reliable loop sensor evaluation results were arrived at by employing this multiple linear regression model. The results of the data flag method and the finite mixed model results were not accurate, thus they could be used as additional tools to complement the data quality evaluation results. Overall, these data quality analysis results are the valuable sources for examining the early detection of system malfunctions, sensor drift, etc., and allow the WIM operators to correct the situation on time before large amounts of measurement are lost.

Statistical models for weight using the laboratory data and using the field data were developed. Dimensional analysis variables as well as other relevant measurable parameters were used in the development of the statistical models. The model created for the April 2009 dataset was validated, with only 27 lbs average error in the weight calculation as compared with the weight measurement made with the weigh station weigh-in-motion scale. The maximum percent error for the weight calculation was 204%, with about 65% of the data falling within 30% error. Additional research will be needed to develop an acoustic emission weigh-in-motion system with adequate accuracy for a commercial product. Nevertheless, this dissertation presents a valuable contribution to the effort of developing a low-cost acoustic emission weigh-in-motion scale. Future research needs that were identified as part of this dissertation include: bullet] Examination of the effects of pavement type (flexible or rigid), vehicle speeds greater than 50 mph, and temperature bullet] Determination of the best acoustic emission sensor for this system bullet] Exploration of the best method to separate the data from axles which pass over the equipment close together in time (such as tandem axles) bullet] Exploration of the effect of repeated measures on improving the accuracy of the system.; The acoustic emission response in the metal test strip to the motorcycle tire rolling over it was detected by the acoustic emission sensors and analyzed by the computer. Initial examinations of the data showed a correlation between the force of the tire against the cylinder and the energy and count of the acoustic emissions. Subsequent field experiments were performed at a weigh station on I-95 in Flagler County, Florida. The proposed weigh-in-motion system (the metal test bar with attached acoustic emission sensors) was installed just downstream of the existing weigh-in-motion scale at the weigh station. Commercial vehicles were weighed on the weigh station weigh-in-motion scale and acoustic emission data was collected by the experimental system. Test data was collected over several hours on two different days, one in July 2008 and the other in April 2009. Initial examination of the data did not show direct correlation between any acoustic emission parameter and vehicle weight. As a result, a more sophisticated model was developed. Dimensional analysis was used to examine possible relationships between the acoustic emission parameters and the vehicle weight. In dimensional analysis, a dimensionally correct equation is formed using measurable parameters of a system. The dimensionally correct equation can then be tested using experimental data. Dimensional analysis revealed the possible relationships between the acoustic emission parameters and the vehicle weight: w=f (gE/v??, YA, rE/Dsquare root of A], cE/square root of A], csubscript p]E/square root of A], E??/square root of A]multiplication dot]AbsE, aE/square root of A]) The defintions of these variables can be found in Appendix A.; This dissertation proposes a system for weighing commercial vehicles in motion using acoustic emission sensors attached to a metal bar placed across the roadway. The signal from the sensors is analyzed by a computer and the vehicle weight is determined by a statistical model which correlates the acoustic emission parameters to the vehicle weight. Such a system would be portable and low-cost, allowing for the measurement of vehicle weights in much the same way commercial tube and radar counters routinely collect vehicle speed and count. The system could be used to collect vehicle speed and count data as well as weight information. Acoustic emissions are naturally occurring elastic waves produced by the rapid release of energy within a material. They are caused by deformation or fracturing of a solid due to thermal or mechanical stress. Acoustic emission sensors have been developed to detect these waves and computer software and hardware have been developed to analyze and provide information about the waveforms. Acoustic emission testing is a common form of nondestructive testing and is used for pressure vessel testing, leak detection, machinery monitoring, structural integrity monitoring, and weld monitoring, among other things (Miller, 1987). For this dissertation, acoustic emission parameters were correlated to the load placed on the metal test bar to determine the feasibility of using a metal test bar to measure the weight of a vehicle in motion. Several experiments were done. First, the concept was tested in a laboratory setting using an experimental apparatus. A concrete cylinder was mounted on a frame and rotated using a motor. The metal test bar was applied directly to the surface of the cylinder and acoustic emission sensors were attached to each end of the bar. As the cylinder rotated, a motorcycle tire was pushed up against the cylinder using a scissor jack to simulate different loads.<br>ID: 029809680; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 130-133).<br>Ph.D.<br>Doctorate<br>Civil, Environmental and Construction Engineering<br>Engineering and Computer Science

Nas últimas décadas os pavimentos rodoviários brasileiros têm tido seu desempenho comprometido devido a uma série de fatores, entre eles incluem-se não somente o crescente aumento do volume de tráfego de veículos pesados e aumento de sua capacidade de transporte, mas principalmente a circulação com cargas acima dos limites legais estabelecidos, configurando uma situação crítica para a sua adequada durabilidade da estrutura projetada. Paralelamente aos investimentos necessários, é importante também o desenvolvimento de métodos mais racionais de dimensionamento de pavimentos contemplando as especificidades dos materiais empregados e levando em consideração as condições climáticas e, principalmente uma completa e detalhada caracterização do tráfego solicitante. Neste contexto apresentado, a pesquisa insere-se em dois importantes estudos. O acompanhamento construtivo e monitoramento sistemático de desempenho de dois trechos na rodovia BR-448/RS e a continuidade do monitoramento de outros dois na BR-290/RS, trecho em concessão entre Osório e Porto Alegre (Freeway). Estas atividades inserem-se no “Projeto Integrado da Rede Temática de Tecnologia em Asfalto Petrobras/ANP", de abrangência nacional, para desenvolvimento de um novo método brasileiro de dimensionamento de pavimentos O segundo estudo trata-se de um completo monitoramento de cargas na Freeway, através da instalação e operacionalização inédita de um equipamento de pesagem dinâmica de alta velocidade (Hight Speed Weigh-in-Motion – HS-WIM) para determinação do espectro de cargas e posterior análise de sua influência no desempenho de pavimentos. Com ambos os estudos foi possível, além de determinar o espectro de cargas, os carregamentos médios e os níveis de sobrecargas praticados naquela rodovia, verificar como estas cargas influenciam o desempenho do pavimento e confrontar estes dados com as tendências observadas através do monitoramento sistemático dos trechos analisados. Por meio do desenvolvimento do presente trabalho pretende-se contribuir para melhorias na engenharia rodoviária e de tráfego através da inserção de novas tecnologias de monitoramento e fiscalização das cargas transportadas e contribuir com o desenvolvimento de um novo método de dimensionamento de pavimentos flexíveis proposto pela Rede Temática de Asfalto, através do levantamento de dados nos trechos experimentais para desenvolvimento de modelos de desempenho e sua posterior inserção nos modelos de calibração.<br>In recent decades the Brazilian road pavements have had their performance reduced due to a number of factors, not only the increasing volume of heavy vehicles and increased transport capacity, but mainly the flow with loads above the established legal limits, setting a critical situation for the durability of the designed structure. Alongside the necessary investment, it is also important to the development of more rational methods of pavement design, considering the specificities of the materials used and taking into account the climatic conditions and a complete and detailed characterization of the traffic. In this context, the research was developed to attain two main objectives: the construction monitoring and systematic assessment of performance of two test sections built in BR-448/RS highway and the continuity of assesment of two others previously built in BR-290/RS, between Osório and Porto Alegre (known as Freeway). These activities are part of the "Integrated Project Theme Technology Network Petrobras Asphalt/ANP", a nationwide project aimed at developing a new Brazilian method for pavement design The second objective was to conduct a comprehensive monitoring loads study on the Freeway, by installing and carrying on an unprecedented operation of a dynamic weighting equipment of high speed (High speed weigh-in-Motion - HS-WIM) to determine the loads spectrum and subsequent analysis of the influence on pavement performance. Both studies made possible to determine the loads spectrum, average loads and levels of overloads practiced on that highway, to estimate how these loads affect the pavement performance and to compare these data with the trends observed through the systematic assessment of the analyzed sections. This work aims to contribute to improvements in road and traffic engineering, by introducing new monitoring technologies, monitoring the transported cargo and contributing to the development of a new design method of flexible pavements, a major goal of the Thematic Network of Asphalt, to be achieved through experimental data collection in test sections, the development of performance models and their subsequent insertion in the calibration models.

In the passing decades, the monitoring of pavements and passing vehicles was developed vigorously with the growth of information and sensing technology. Pavement monitoring is an essential part of pavement research and plays an important role in transportation system. At the same time, the monitoring system about the traffic, such as Weigh-in-Motion (WIM) system and traffic classification system, also attracted lots of attention because of their importance in traffic statistics and management. <br />The monitoring system in this dissertation combines the monitoring for pavements and traffic together with the same sensing network. For pavement health monitoring purpose, the modulus of the asphalt layer can be back-calculated based on the collected mechanical responses under corresponding environmental conditions. At the same time, the actually strain and stress in pavements induced by each passing vehicle are also used for pavement distress prediction. For traffic monitoring purpose, the horizontal strain traces are analyzed with a Gaussian model to estimate the speed, wandering position, weight and classification of each passing vehicle. The whole system, including the sensing network and corresponding analysis method, can monitor the pavement and the traffic simultaneously, and is called transportation monitoring system. This system has a high efficiency because of its low cost and easy installation; multi-functionality to provide many important information of transportation system.<br /> <br />Many related studies were made to improve the prototyped transportation monitoring system. With the assistance of numerical simulation software ABAQUS and 3D-Move, the effect of many loading and environmental conditions, including temperature, vehicle speed, tire configuration and inflation pressure, are taken into consideration. A method was set up to integrate data points from many tests of similar environmental and loading conditions based on Gaussian model. Another method for consistent comparison of variable field sensor data was developed. It was demonstrated that variation in field measurement was due to uncontrollable environmental and loading factors, which may be accounted for by using laboratory test and numerical simulation based corrections.<br>Ph. D.

The United States has the world?s largest road network with over 4.1 million miles of roads supporting more than 260 million of registered automobiles including around 11 million of heavy trucks. Such a large road network challenges the road and traffic management systems such as condition assessment and traffic monitoring. To assess the road conditions and track the traffic, currently, multiple facilities are required simultaneously. For instance, vehicle-based image techniques are available for pavements? mechanical behavior detection such as cracks, high-speed vehicle-based profilers are used upon request for the road ride quality evaluation, and inductive loops or strain sensors are deployed inside pavements for traffic data collection. Having multiple facilities and systems for the road conditions and traffic information monitoring raises the cost for the assessment and complicates the process. In this study, an integrated system is developed to simultaneously monitor the road condition and traffic using in-pavement strain-based sensors, which will phenomenally simplify the road condition and traffic monitoring. To accomplish such a superior system, this dissertation designs an innovative integrated sensing system, installs the integrated system in Minnesota's Cold Weather Road Research Facility (MnROAD), monitors the early health conditions of the pavements and ride quality evaluation, investigates algorithms by using the developed system for traffic data collection especially weigh-in-motion measurements, and optimizes the system through optimal system design. The developed integrated system is promising to use one system for multiple purposes, which gains a considerable efficiency increase as well as a potential significant cost reduction for intelligent transportation system.<br>USDOT (U.S. Department of Transportation)<br>MPC (Mountain-Plains Consortium)

Recently, adding more lanes becomes less and less feasible, which is no longer an applicable solution for the traffic congestion problem due to the increment of vehicles. Using the existing infrastructure more efficiently with better traffic control and management is the realistic solution. An effective traffic management requires the use of monitoring technologies to extract traffic parameters that describe the characteristics of vehicles and their movement on the road. A three-dimension glass fiber-reinforced polymer packaged fiber Bragg grating sensor (3D GFRP-FBG) is introduced for the traffic monitoring system. The proposed sensor network was installed for validation at the Cold Weather Road Research Facility in Minnesota (MnROAD) facility of Minnesota Department of Transportation (MnDOT) in MN. A vehicle classification system based on the proposed sensor network has been validated. The vehicle classification system uses support vector machine (SVM), Neural Network (NN), and K-Nearest Neighbour (KNN) learning algorithms to classify vehicles into categories ranging from small vehicles to combination trucks. The field-testing results from real traffic show that the developed system can accurately estimate the vehicle classifications with 98.5 % of accuracy. Also, the proposed sensor network has been validated for low-speed and high-speed WIM measurements in flexible pavement. Field testing validated that the longitudinal component of the sensor has a measurement accuracy of 86.3% and 89.5% at 5 mph and 45 mph vehicle speed, respectively. A performed parametric study on the stability of the WIM system shows that the loading position is the most significant parameter affecting the WIM measurements accuracy compared to the vehicle speed and pavement temperature. Also the system shows the capability to estimate the location of the loading position to enhance the system accuracy.