Long Term Pavement Performance Program Protocol for Calibrating Traffic Data Collection Equipment
ثبت نشده
چکیده
The LTPP program acknowledges that weigh-in-motion (WIM) and automatic vehicle classification (AVC) are not mature technologies. As such, participating agency and site-specific conditions may legitimately warrant the use of procedures other than those presented below. In addition, LTPP recognizes that participating agencies use a variety of types of traffic data collection equipment and have different levels of available labor. Consequently, different participating agencies may prefer to use different methods for checking calibration and performing quality assurance checks on their data.
منابع مشابه
Quantification of Smoothness Index Differences Related to Long-Term Pavement Performance Equipment Type
FOREWORD The main objective of this project is to quantify and resolve the differences in the longitudinal profile and roughness indices that are attributable to the different profiling equipment that have been used in the LTPP program. The Long-Term Pavement Performance (LTPP) program was designed as a 20-year study of pavement performance. A major data collection effort at LTPP test sections ...
متن کاملEvaluation of the Effects of Maintenance and Rehabilitation Projects on Road User Costs via HDM-4 Software
Rapid growth in a number of vehicles on roadways accelerates pavement deterioration trends. Pavement inefficiency in carrying the applied load from passing vehicles results in spending significant costs on continues Maintenance and Rehabilitation (M&R) treatments. Lane closure owing to the implementation of M&R operations incurs enormous costs on road users. The research aimed to calculate, and...
متن کاملDevelopment of An Artificial Neural Network Model for Asphalt Pavement Deterioration Using LTPP Data
Deterioration models are important and essential part of any Pavement Management System (PMS). These models are used to predict future pavement situation based on existence condition, parameters causing deterioration and implications of various maintenance and rehabilitation policies on pavement. The majority of these models are based on roughness which is one of the most important indices in p...
متن کاملRe-Evaluation of the AASHTO-Flexible Pavement Design Equation with Neural Network Modeling
Here we establish that equivalent single-axle loads values can be estimated using artificial neural networks without the complex design equality of American Association of State Highway and Transportation Officials (AASHTO). More importantly, we find that the neural network model gives the coefficients to be able to obtain the actual load values using the AASHTO design values. Thus, those desig...
متن کاملVariability of Pavement Distress Data From Manual Surveys
The Long Term Pavement Performance (LTPP) program is a 20-year study of inservice pavements across North America. Its goal is to extend the life of highway pavements through various designs of new and rehabilitated pavement structures, using different materials and under different loads, environments, subgrade soil, and maintenance practices. LTPP was established under the Strategic Highway Res...
متن کامل