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Author: Benjamin H. Cottrell Publisher: ISBN: Category : Trucks Languages : en Pages : 59
Book Description
In 2003, staff of the Virginia Transportation Research Council (now the Virginia Center for Transportation Innovation and Research) and the Virginia Department of Transportation (VDOT) developed a plan to collect traffic and truck-axle weight data to support the Guide for Mechanistic-Empirical Design of New and Rehabilitated Pavement Structures, known as the Mechanistic-Empirical Pavement Design Guide (MEPDG). The purpose of this study was to review VDOT's traffic data plan for the MEPDG and revise it as needed. The review included an assessment of the data obtained from the VDOT and Virginia Department of Motor Vehicles weigh-in-motion (WIM) sites and the appropriateness of the truck weight groups in VDOT's traffic data plan. Information on truck travel patterns and characteristics was compiled. There is very little literature that provides specific information on the structure of a traffic data plan for the MEPDG. Guidance provided by the Federal Highway Administration allows for much flexibility in the development of such a plan. Most states are working to develop the plan, and such plans that are already in place vary considerably. The Corridors of Statewide Significance in Virginia's statewide long-range multimodal transportation plan represent the routes where truck traffic is most prominent and therefore represent routes on which the VDOT plan should focus. The study recommends that VDOT continue with its current truck weight data plan for the MEPDG. With this plan, VDOT is positioned to implement the MEPDG from a truck data perspective, The WIM data comprise an important input to the MEPDG process that is expected to provide VDOT with more accurate pavement designs based on actual traffic loadings in Virginia.
Author: Benjamin H. Cottrell Publisher: ISBN: Category : Trucks Languages : en Pages : 59
Book Description
In 2003, staff of the Virginia Transportation Research Council (now the Virginia Center for Transportation Innovation and Research) and the Virginia Department of Transportation (VDOT) developed a plan to collect traffic and truck-axle weight data to support the Guide for Mechanistic-Empirical Design of New and Rehabilitated Pavement Structures, known as the Mechanistic-Empirical Pavement Design Guide (MEPDG). The purpose of this study was to review VDOT's traffic data plan for the MEPDG and revise it as needed. The review included an assessment of the data obtained from the VDOT and Virginia Department of Motor Vehicles weigh-in-motion (WIM) sites and the appropriateness of the truck weight groups in VDOT's traffic data plan. Information on truck travel patterns and characteristics was compiled. There is very little literature that provides specific information on the structure of a traffic data plan for the MEPDG. Guidance provided by the Federal Highway Administration allows for much flexibility in the development of such a plan. Most states are working to develop the plan, and such plans that are already in place vary considerably. The Corridors of Statewide Significance in Virginia's statewide long-range multimodal transportation plan represent the routes where truck traffic is most prominent and therefore represent routes on which the VDOT plan should focus. The study recommends that VDOT continue with its current truck weight data plan for the MEPDG. With this plan, VDOT is positioned to implement the MEPDG from a truck data perspective, The WIM data comprise an important input to the MEPDG process that is expected to provide VDOT with more accurate pavement designs based on actual traffic loadings in Virginia.
Author: Benjamin H. Cottrell Publisher: ISBN: Category : Trucks Languages : en Pages : 15
Book Description
The Virginia Department of Transportation (VDOT) is preparing to implement the mechanistic-empirical pavement design methodology being developed under the National Cooperative Research Program's Project 1-37A, commonly referred to as the 2002 Pavement Design Guide (2002 Guide). The developers of the 2002 Guide have stated that transportation agencies in compliance with the Federal Highway Administration's Traffic Monitoring Guide will have the traffic data necessary to implement the new pavement design approach. The 2002 Guide is structured in a hierarchical manner with three pavement design levels. For Level 1 designs, all project-specific data will be collected, including axle load spectra information (and axle loadings by vehicle classification) and vehicle classification counts at the project location. For Level 2 designs, regional and project-specific data will be applied. For Level 3 designs, estimated project-specific and statewide average or default data will be used in the analysis. The purpose of this effort was to develop a plan to position VDOT to collect traffic and truck axle weight data to support Level 2 pavement designs. This report serves as the basis for implementing and maintaining the truck weigh program necessary for the new pavement design approach and provides data for the current pavement design process used in Virginia (i.e., the 1993 pavement design methodology of the American Association of State Highway and Transportation Officials). To keep program costs at a minimum, the proposed traffic data program for pavement design takes advantage of the flexibility permitted in the Traffic Monitoring Guide and the availability of weigh-in-motion data from the Virginia Department of Motor Vehicles. Truck weight Groups 1 and 2, which consist of interstate and arterial roads, where the majority of truck loading occurs, are the first priority for implementation. A traffic data plan and a phased approach to implement the plan were proposed.
Author: American Association of State Highway and Transportation Officials Publisher: AASHTO ISBN: 156051423X Category : Pavements Languages : en Pages : 218
Author: Benjamin H. Cottrell Publisher: ISBN: Category : Motor vehicle scales Languages : en Pages : 54
Book Description
The Traffic Monitoring Guide (TMG) provides a method for the development of a statistically based procedure to monitor traffic characteristics such as traffic loadings. Truck weight data in particular are a major element of the pavement management process because there is a strong relationship between pavement deterioration and truck weights. Because truck weight data collected by weigh-in-motion (WIM) systems are more representative of actual traffic loadings and are more efficient than enforcement and static weight data, the use of the TMG and WIM systems together provide improved monitoring of truck weights. The objective of this research was to develop a plan for VDOT to implement a truck weight sampling procedure using the TMG and WIM systems. Four alternatives from the TMG that were based on different schemes for multiple measurements at permanent WIM sites were evaluated. A truck weight sampling plan was developed for the preferred alternative. Truck weight sample sites, data collection procedures, cost and resources estimates, data from permanent WIM sites, and data management information are included in the plan.
Author: American Association of State Highway and Transportation Officials Publisher: AASHTO ISBN: 1560510552 Category : Pavements Languages : en Pages : 622
Book Description
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.
Author: Bryan C. Smith Publisher: ISBN: Category : Axial loads Languages : en Pages : 43
Book Description
The Virginia Department of Transportation's (VDOT's) current pavement design procedure is based on the 1993 AASHTO Guide for Design of Pavement Structures. In this procedure, a required structural capacity is calculated as a function of the anticipated service life, the serviceability of the pavement, and the number of equivalent loads applied. The concept of equivalent applied loads allows for the pavement designer to account for the damage caused by loads of varying magnitudes and axle configurations. Although pavement damage can be expressed per axle, expressing the damage in terms of the average amount of damage caused by a particular vehicle is more convenient. This is referred to as a truck factor, which is the average number of equivalent single-axle load (ESAL) applications per vehicle. VDOT's current pavement design procedure subdivides truck traffic into two categories, i.e., single-unit trucks and combination trucks, and was based on studies performed in the early 1990s. Over the last few years, VDOT has installed weigh-in-motion (WIM) devices at 15 locations around the state that measure the loads actually applied by vehicles in the travel lanes. These WIM stations allow for continuous data collection that was previously not available and therefore can provide a better representation of actual traffic loading. This study developed updated truck ESAL factors based on WIM data from June 2007 through May 2008 in Virginia. These factors were found to be 0.46 for single-unit trucks and 1.05 for combination trucks using flexible pavements and 0.59 for single-unit trucks and 1.59 for combination trucks using rigid pavements. The updated truck ESAL factors determined in this study should be incorporated into VDOT's pavement design procedure. Using the updated truck ESAL factors recommended in this study will allow a more optimal pavement design that more accurately reflects the traffic loading on roadways in Virginia.
Author: Publisher: AASHTO ISBN: 1560514493 Category : Technology & Engineering Languages : en Pages : 202
Book Description
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.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
At hundreds of Weigh in Motion (WIM) stations, State Departments of Transportation collect traffic data every year to support pavement design, to enforce weight restrictions on highways and bridges, and to provide planning data for highway improvements. Reliable WIM data is particularly important to support the procedures in the FHWA Mechanistic Empirical Pavement Design Guide (MEPDG). The purpose of the research is to identify and resolve four related but relatively stand-alone problems associated with WIM data collected by NCDOT. Quality Control: After the NCDOT collects WIM data and converts it from proprietary vendor format to an ASCII text format, the quality of the data must be checked. During the quality control (QC) procedures, tests identify incomplete datasets, out of range values for individual vehicle classes, and other possible data problems. Vehicle class and weight checks generate 0.97% and 6.42% anomalies, respectively thus confirming that NCDOT equipment captured reliable WIM measurements. NC Urban and Rural Truck Traffic Profiles: Knowing the type of traffic by vehicle class by highway functional classification is critical to designing, maintaining and paying for North Carolina highway pavements. Thus, GVW plots by vehicle class and highway functional class are very important. The results indicate that in general, the class 5 and 9 GVW plots for all categories of WIM stations show expected trends. These results may be used by highway planners and pavement designers to quickly determine typical truck traffic profiles in the various NC regions and provide insight into NC truck transportation flows. NC vs. University Of Arkansas WIM QC Analysis: Most highway agencies have the data collection and design groups in different units. While a single software solution is not practical, it is recommended to perform two separate processes where the output of data QC meets the needs and standards of the design process. A comparative analysis between the QC meth.
Author: Benjamin H. Cottrell
Author: Benjamin H. Cottrell
Author: Benjamin H. Cottrell
Author: American Association of State Highway and Transportation Officials
Author: Benjamin H. Cottrell
Author: American Association of State Highway and Transportation Officials
Author: Bryan C. Smith
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