Download or read book Develop System to Render Mechanistic empirical Traffic Data for Pavement Design written by Lubinda F. Walubita and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This zipped file is composed of several PDFs (instructor guide, student guide, and a PowerPoint Presentation) for a training workshop meant to provide the methodologies for generating and using site-specific Mechanistic-Empirical-compatible traffic data for flexible and rigid pavement designs. The half-day course covers: 1. Traffic data sources to obtain the applicable M-E traffic data. 2. Traffic data parameters calculated and generated using the collected traffic data such as traffic volume, speed, classification, and weight data. 3. Traffic data inputs required for pavement design (for FPS and ME design software). 4. The traffic data storage system (The T-DSS) to store and provide ME-compatible traffic data support. 5. Data analysis macros and clustering algorithms to automatically analyze and generate the ME-compatible traffic data

Download or read book Mechanistic empirical Pavement Design Guide written by American Association of State Highway and Transportation Officials and published by AASHTO. This book was released on 2008 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Development of Traffic Data Input Resources for the Mechanistic Empirical Pavement Design Process written by John Randolph Stone and published by . This book was released on 2011 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Users Manual and Guides for the M E Traffic Database T DSS written by Lubinda F. Walubita and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This user's manual aids users to understand and use the mechanistic-empirical (M-E) traffic data storage system (the T-DSS). The T-DSS is a Microsoft Access data storage system containing the essential outcomes of the project 0-6940 entitled "Develop System to Render Mechanistic Empirical Traffic Data for Pavement Design." As a supporting material, this user's manual presents and describes the following points: (1) Overall structure and data organization frame in the T-DSS. (2) Data stored in the T-DSS, including units, values, and specific comments useful to users. (3) The T-DSS interfaces including the layout formats. (4) Tables under each interface to ease data retrieval from T-DSS. The data and attachment files in the T-DSS can also be exported or downloaded for use in M-E pavement design. Especially, the manual emphasizes the retrieval of inputs data needed for M-E models and the related software, including the flexible pavement design system (FPS), the Texas mechanistic-empirical (TxME), the Texas asphalt concrete overlay design and analysis system (TxACOL), the AASHTOWare Pavement M-E Design, and the mechanistic empirical pavement design guide (M-E PDG). (5) Guidance on Federal Highway Administration (FHWA) vehicle classification and the FHWA weight classification for different categories of axles including single, tandem, tridem, and quadrem. (6) A map of the Texas weigh-in-motion (WIM) location and a summary of the geographic coordinates of the WIM sites as reported in the T-DSS.

Download or read book Traffic Characterization for a Mechanistic empirical Pavement Design written by Jorge A. Prozzi and published by . This book was released on 2006 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this research study was to assess and address the implications of the axle load spectra approach proposed by the M-E Design Guide. In addition, recommendations were developed regarding traffic data needs and availability to aid in deciding the installation locations of future WIM stations in Texas. A methodology for specifying the required accuracy of WIM equipment based on the effect that this accuracy has on pavement performance prediction was also developed. Regarding traffic volume forecasting, a methodology is presented that allows optimum use of available data by simultaneously estimating traffic growth and seasonal traffic variability.

Download or read book Development of Traffic Inputs for the Mechanistic empirical Pavement Design Guide in New York State written by Ferdous Intaj and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Proper characterization of traffic data is a prerequisite for the determination of appropriate traffic inputs to Mechanistic-Empirical Pavement Design Guide (MEPDG). The development of proper traffic inputs helps reflect the traffic conditions over the life of pavement which would decrease the maintenance, repair and traffic disruptions and improve the traffic conditions of a road network. The objective of the study was to characterize the traffic data and suggest the sitespecific, regional or state wide average values for traffic inputs to MEPDG for New York State. Vehicle class distribution (VCD), monthly distribution factors (MDF), hourly distribution factors (HDF), average number of axle groups per vehicle (AGPV) and axle load spectra were obtained from vehicle classification and WIM sites in New York State for the years of 2007-2011. These traffic data was processed with TrafLoad software. Cluster analysis was performed on the processed VCD, MDF and HDF data collected during the time period. This statistical analysis could not be done for AGPV values and axle load spectra due to the unavailability of sufficient number of WIM sites. However, MEPDG runs were carried out to investigate the effect of the variability of traffic inputs on the pavement performance of typical new flexible and rigid pavement structures. The statistical analysis showed consistent results for VCD and HDF over the years. However, the results of statistical analysis on MDF were not consistent over the time period. Site specific values for VCD, MDF, AGPV and axle load spectra showed little variation with statewide average values after the cluster analysis and MEPDG runs for the vehicle classification and WIM data of the year of 2010. This was observed for both flexible and rigid pavements. However, HDF did not show any effect on the design of pavement with MEPDG. These findings were also verified from the analysis of vehicle classification and WIM data of the other years.

Download or read book Exploring the Importance of Traffic Data Input Levels for Mechanistic Empirical Pavement Design written by and published by . This book was released on 2021 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Draft Guidelines for Portable Weight in motion WIM System Installation and Traffic Data Analysis written by Lubinda F. Walubita and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the portable weight-in-motion (WIM) technology has been successfully explored and practically used to collect site-specific traffic data in Texas Department of Transportation Research Project 0-6940 Develop System to Render Mechanistic-Empirical Traffic Data for Pavement Design, this standardized guideline was developed to aid users understand more thoroughly the portable WIM system deployment and its operation for traffic data collection. This draft guideline can be used as a main guide for the portable WIM system implementation on Texas highways. As a supporting material, this guideline covers and describes the following points: 1. Portable WIM components and the required accessories. 2. Preparation of the portable WIM installation and highway site selection. 3. Portable WIM setup, installation, calibration, maintenance, uninstallation, and troubleshooting. 4. Automated macros for processing and analyzing portable WIM traffic data, such as volume, speed, vehicle classification, and weight data. 5. Automated macros for generating Flexible Pavement Design System (FPS) and Texas Mechanistic-Empirical Flexible Pavement Design System (TxME) traffic input data for pavement design.

Download or read book Traffic Data Collection Analysis and Forecasting for Mechanistic Pavement Design written by National Cooperative Highway Research Program and published by . This book was released on 2004 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Traffic Data Collection Analysis and Forecasting for Mechanistic Pavement Design written by Cambridge Systematics and published by Transportation Research Board. This book was released on 2005 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book AASHTO Guide for Design of Pavement Structures 1993 written by American Association of State Highway and Transportation Officials and published by AASHTO. This book was released on 1993 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design related project level pavement management - Economic evaluation of alternative pavement design strategies - Reliability / - Pavement design procedures for new construction or reconstruction : Design requirements - Highway pavement structural design - Low-volume road design / - Pavement design procedures for rehabilitation of existing pavements : Rehabilitation concepts - Guides for field data collection - Rehabilitation methods other than overlay - Rehabilitation methods with overlays / - Mechanistic-empirical design procedures.

Download or read book Guide for the Local Calibration of the Mechanistic empirical Pavement Design Guide written by and published by AASHTO. This book was released on 2010 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide provides guidance to calibrate the Mechanistic-Empirical Pavement Design Guide (MEPDG) software to local conditions, policies, and materials. It provides the highway community with a state-of-the-practice tool for the design of new and rehabilitated pavement structures, based on mechanistic-empirical (M-E) principles. The design procedure calculates pavement responses (stresses, strains, and deflections) and uses those responses to compute incremental damage over time. The procedure empirically relates the cumulative damage to observed pavement distresses.

Download or read book Implementation of the AASHTO Mechanistic empirical Pavement Design Guide and Software written by and published by . This book was released on 2014 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Mechanistic-Empirical Pavement Design Guide and AASHTOWare Pavement ME Design (TM) Software Overview -- Survey of Agency Pavement Design Practices -- Common Elements of Agency Implementation Plans -- Case Examples of Agency Implementation -- Conclusions.

Download or read book Using WIM Systems and Tube Counters to Collect and Generate ME Traffic Data for Pavement Design and Analysis written by Lubinda F. Walubita and published by . This book was released on 2019 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Axle load spectra data, typically from permanent weigh-in-motion (WIM) stations, constitute the primary mechanistic-empirical (ME) traffic data input for accurate and optimal pavement design and analysis. However, due to the limited number of available permanent WIM stations (mostly located on interstate highways), most ME pavement designs rely on antiquated estimates, even for the 18-kip equivalent single axle loads (ESALs) that often result in un-optimized and costly designs and/or poor-performing pavement structures with increased maintenance costs or high construction costs due to overdesigning -- with high overall life-cycle costs. As a means to address these challenges, this study was initiated, among others, to (a) review the current state-of-the-art methodologies used for estimating ME traffic data inputs, (b) develop clustering algorithms for estimating site-specific ME traffic data, (c) explore the portable WIM as a supplement to the permanent WIM station data, and (d) develop and manage a Microsoft Access ME traffic data storage system (T-DSS). The scope of work included traffic data collection from numerous WIM stations and development of traffic data analysis macros and clustering algorithms. Key findings from the study indicated the following: (a) portable WIM is a cost-effective supplement for site-specific traffic data collection -- with proper installation and calibration, quality traffic data with an accuracy of up to 90% is attainable; (b) the developed WIM data analysis macros are satisfactorily able to compute and generate ME traffic inputs for both flexible and rigid (concrete) pavements; and (c) the developed clustering algorithms and macros constitute an ideal and rapid methodology for predicting and estimating ME traffic data inputs. Key recommendations are continued portable WIM data collection, particularly in West Texas and on farm-to-market (FM) roads, for population of the T-DSS and improved prediction accuracy of the clustering algorithms.

Download or read book Mechanistic Empirical Compatible Traffic Data Generation Portable Weigh in Motion Versus Cluster Analysis written by Lubinda F. Walubita and published by . This book was released on 2020 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Axle load distribution factors (ALDFs) are used as one of the primary traffic data inputs for mechanistic-empirical (ME) pavement design methods for predicting the impact of varying traffic loads on pavement performance with a higher degree of accuracy than empirical methods that are solely based on equivalent single axle load (ESAL) concept. Ideally, to ensure optimal pavement structural design, site-specific traffic load spectra data--generated from weigh-in-motion (WIM) systems--should be used during the pavement design process. However, because of the limited number of available permanent WIM stations (in Texas, for example), it is not feasible to generate a statewide ALDFs database for each highway or project from permanent WIM data. In this study, two possible alternative methods, namely, the direct measurement using a portable WIM system and the cluster analysis technique, were explored for generating site-specific ME-compatible traffic data for a highway test section, namely, state highway (SH) 7 in Bryan District (Texas). The traffic data were then used for estimating pavement performance using a ME pavement design software, namely, the Texas Mechanistic-Empirical Thickness Design System (TxME). The TxME-predicted pavement performance (e.g., rutting) using the portable WIM-generated traffic input parameters closely matched with the actual field performance. Overall, the study findings indicated that the portable WIM (with proper installation and calibration) constitutes an effective means for rapidly collecting reliable site-specific ME-compatible traffic data.

Download or read book Developing MEPDG Climate Data Input Files for Mississippi written by Dennis D. Truax and published by . This book was released on 2011 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Local Calibration of Mechanistic Empirical Pavement Design Guide for North Eastern United States written by Shariq A. Momin and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mechanistic-Empirical Pavement Design Guide (MEPDG) developed under the National Cooperative Highway Research Program (NCHRP) 1-37A project is based on mechanistic-empirical analysis of the pavement structure to predict the performance of the pavement under different sets of conditions (traffic, structure and environment). MEPDG takes into account the advanced modeling concepts and pavement performance models in performing the analysis and design of pavement. The mechanistic part of the design concept relies on the application of engineering mechanics to calculate stresses, strains and deformations in the pavement structure induced by the vehicle loads. The empirical part of the concept is based on laboratory developed performance models that are calibrated with the observed distresses in the in-service pavements with known structural properties, traffic loadings, and performances. These models in the MEPDG were calibrated using a national database of pavement performance data (Long Term Pavement Performance, LTPP) and will provide design solution for pavements with a national average performance. In order to improve the performance prediction of the models and the efficiency of the design for a given state, it is necessary to calibrate it to local conditions by taking into consideration locally available materials, traffic information and the environmental conditions. The objective of this study was to calibrate the MEPDG flexible pavement performance models to local conditions of Northeastern region of United States. To achieve this, seventeen pavement sections were selected for the calibration process and the relevant data (structural, traffic, climatic and pavement performance) was obtained from the LTPP database. MEPDG software (Version 1.1) simulation runs were made using the nationally calibrated coefficients and the MEPDG predicted distresses were compared with the LTPP measured distresses (rutting, alligator and longitudinal cracking, thermal cracking and IRI). The predicted distresses showed fair agreement with the measured distresses but still significant differences were found. The difference between the measured and the predicted distresses were minimized through recalibration of the MEPDG distress models. For the permanent deformation models of each layer, a simple linear regression with no intercept was performed and a new set of model coefficients (ßr1, ßGB, and ßSG) for asphalt concrete, granular base and subgrade layer models were calculated. The calibration of alligator (bottom-up fatigue cracking) and longitudinal (topdown fatigue cracking) was done by deriving the appropriate model coefficients (C1, C2, and C4) since the fatigue damage is given in MEDPG software output. Thermal cracking model was not calibrated since the measured transverse cracking data in the LTPP database did not increase with time, as expected to increase with time. The calibration of IRI model was done by computing the model coefficients (C1, C2, C3, and C4) based on other distresses (rutting, total fatigue cracking, and transverse cracking) by performing a simple linear regression.