Evaluating Roadway Surface Rating Technologies

Evaluating Roadway Surface Rating Technologies PDF Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 65

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Book Description
The key project objective was to assess and evaluate the feasibility and accuracy of custom software used in smartphones to measure road roughness from the accelerometer data collected from smartphones and compare results with PASER (Pavement Surface and Evaluation Rating System) and IRI (International Roughness Index) measurement values collected from the same roadway segments. This project is MDOT's first large implementation of a customized Android smartphone to collect road roughness data using a methodology developed from previous research work performed by UMTRI. Accelerometer data collection was performed via Android-based smartphones using a customized software application called DataProbe. During the project's initial phase smartphones were installed in each of nine Michigan Department of Transportation (MDOT) vehicles driven by MDOT employees. These same vehicles also were used during 2012 and 2013 to June, 2015 to collect data on road distress using PASER Ratings for comparison. The DataProbe software application was used to collect data and transmit it to a University of Michigan Transportation Research server, where it was sorted, stored, and analyzed. All MDOT regions are represented in this analysis that compares road roughness ratings for nearly 6000 one tenth of a mile road segments. For the second phase of the project, road distress (PASER Rating) data was collected in 2014 simultaneously with an MDOT vehicle equipped with an IRI device and two DataProbe smartphones and two UMTRI vehicles equipped with five DataProbe smartphones. The analysis of the 2012 and 2013 data found that there were a number of significant predictors of IRI road roughness including: the phone and the vehicle used to collect the data, the speed of the vehicle collecting the data, the type of road surface, date of data collection, and accelerometer variance. By including quadratic terms to adjust for non-linear relationships and interactions among the predictors studied in this project, the multiple regression model predicted nearly 45 percent and 43 percent of the variance in IRI values, respectively. An analysis of commonly used IRI categories (3 level/5 level) using ordinal logistic regression found that DataProbe accurately predicted these categories 68/71 percent of the time (2012 data), 77/76 percent of the time (2013 data). Analysis of the data collected in 2014 showed multiple regression models with variance among accelerometer measurements and speed accounting for 37 percent of the variance, while the ordinal logistic regression accurately predicted the IRI (3 level/5 level) categories 86/83 percent of the time. These results are promising when considering the near term application of the DataProbe technology for smaller locales that drive over their local roads more often, generating web-based road roughness visuals of each of the roads in their jurisdiction. In the longer term, statewide road roughness measurement may be performed through the crowd-sourcing model available through Connected Vehicle initiatives, where all vehicles will be equipped with devices that support safety applications as well as other applications such as those that measure road roughness.

Evaluating Roadway Surface Rating Technologies

Evaluating Roadway Surface Rating Technologies PDF Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 65

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Book Description
The key project objective was to assess and evaluate the feasibility and accuracy of custom software used in smartphones to measure road roughness from the accelerometer data collected from smartphones and compare results with PASER (Pavement Surface and Evaluation Rating System) and IRI (International Roughness Index) measurement values collected from the same roadway segments. This project is MDOT's first large implementation of a customized Android smartphone to collect road roughness data using a methodology developed from previous research work performed by UMTRI. Accelerometer data collection was performed via Android-based smartphones using a customized software application called DataProbe. During the project's initial phase smartphones were installed in each of nine Michigan Department of Transportation (MDOT) vehicles driven by MDOT employees. These same vehicles also were used during 2012 and 2013 to June, 2015 to collect data on road distress using PASER Ratings for comparison. The DataProbe software application was used to collect data and transmit it to a University of Michigan Transportation Research server, where it was sorted, stored, and analyzed. All MDOT regions are represented in this analysis that compares road roughness ratings for nearly 6000 one tenth of a mile road segments. For the second phase of the project, road distress (PASER Rating) data was collected in 2014 simultaneously with an MDOT vehicle equipped with an IRI device and two DataProbe smartphones and two UMTRI vehicles equipped with five DataProbe smartphones. The analysis of the 2012 and 2013 data found that there were a number of significant predictors of IRI road roughness including: the phone and the vehicle used to collect the data, the speed of the vehicle collecting the data, the type of road surface, date of data collection, and accelerometer variance. By including quadratic terms to adjust for non-linear relationships and interactions among the predictors studied in this project, the multiple regression model predicted nearly 45 percent and 43 percent of the variance in IRI values, respectively. An analysis of commonly used IRI categories (3 level/5 level) using ordinal logistic regression found that DataProbe accurately predicted these categories 68/71 percent of the time (2012 data), 77/76 percent of the time (2013 data). Analysis of the data collected in 2014 showed multiple regression models with variance among accelerometer measurements and speed accounting for 37 percent of the variance, while the ordinal logistic regression accurately predicted the IRI (3 level/5 level) categories 86/83 percent of the time. These results are promising when considering the near term application of the DataProbe technology for smaller locales that drive over their local roads more often, generating web-based road roughness visuals of each of the roads in their jurisdiction. In the longer term, statewide road roughness measurement may be performed through the crowd-sourcing model available through Connected Vehicle initiatives, where all vehicles will be equipped with devices that support safety applications as well as other applications such as those that measure road roughness.

Manual on Pavement Evaluation Techniques

Manual on Pavement Evaluation Techniques PDF Author: Satish Chandra
Publisher:
ISBN:
Category :
Languages : en
Pages : 127

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Book Description
Pavement evaluation techniques which involve the use of state-of-art technologies and tools for functional and structural evaluation of pavements have become necessity today for health monitoring of road infrastructure and to take appropriate decisions for maintenance, planning and budgeting of road network based on scientific tools. The state-of-art infrastructure facilities available at CSIR-Central Road Research Institute motivates us to write this manual which concisely covers all the major equipment of pavement evaluation, so that the students and field practitioners understand the methodology and follow the correct procedure for functional and structural evaluation of pavement for various purposes. The first chapter of the manual deals with the evaluation of pavement surface roughness for rating the roads as per riding quality criteria. Apart from the methodology for roughness measurement using various equipment, this chapter will help the readers for deciding the appropriate technology depending upon the location and type of the road under study. Second chapter of the manual is related to the micro and macro level assessment of pavement surface characteristics which are related to the measurement of pavement surface texture, skid resistance and polish stone value, to ensure the safe riding pavement surface. Third chapter covers the details about distresses observed on flexible pavements and their measurement techniques. Details of most dominating distresses along with illustrating photographs and severity levels are also given in this chapter. Fourth chapter gives details of axle load surveys using static and weigh-in-motion systems which are required to know the current loading pattern on the project roads for their upgradation and various maintenance needs. Calculation of vehicle damage factor with examples has also been included in this chapter. The fifth chapter deals with the structural health monitoring of roads using Benkelman Beam and Falling Weight Deflection techniques. The details of these two methods and their measurements techniques are given in details with example for estimating the overlay needs using Falling Weight Deflectometer Technique. The use of Network Survey vehicle has also become necessity for road asset and pavement condition monitoring for development of pavement maintenance management systems at network level. The details of a typical network survey vehicle system including its calibration and validation details are given in chapter six. This chapter also includes the tentative specifications of Network Survey Vehicle System to meet the requirements of road asset management systems. We are hopeful that the readers will find the book useful as the procedures of pavement evaluation using equipment have been demonstrated in a simplified way. Suggestion and observations for further improvement of the manual are welcome.

Pavement Surface Condition/performance Assessment

Pavement Surface Condition/performance Assessment PDF Author: Bouzid Choubane
Publisher: ASTM International
ISBN: 0803155212
Category : Pavements
Languages : en
Pages : 89

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Book Description
"This new ASTM publication presents the latest information on the practical and developmental aspects of pavement surface evaluation procedures and technologies, including their reliability and relevancy. Seven peer-reviewed papers cover: * Pavement surface characteristics measurement procedures and equipment * Approaches to enhance the reliability and accuracy of pavement surface evaluation systems * Approaches to harmonization between different measurement devices for specific pavement surface condition indicators * Assessment of current pavement condition indicators and their relevancy level for use in asset management * Assessment of factors influencing the interaction of tire/pavement surface characteristics * Assessment of automated distress survey systems * Evaluation of new/promising technologies for pavement condition surveys."--Publisher's website.

Surface Transportation Research and Technology Assessment

Surface Transportation Research and Technology Assessment PDF Author:
Publisher:
ISBN:
Category : Transportation, Automotive
Languages : en
Pages : 68

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Book Description


Surface Characteristics of Roadways

Surface Characteristics of Roadways PDF Author: W. E. Meyer
Publisher: ASTM International
ISBN: 0803113919
Category : Pavements
Languages : en
Pages : 581

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Book Description


Quality Management of Pavement Condition Data Collection

Quality Management of Pavement Condition Data Collection PDF Author: Gerardo W. Flintsch
Publisher: Transportation Research Board
ISBN: 0309142474
Category : Technology & Engineering
Languages : en
Pages : 154

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Gravel Roads

Gravel Roads PDF Author: Ken Skorseth
Publisher:
ISBN:
Category : Gravel roads
Languages : en
Pages : 112

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Book Description
The purpose of this manual is to provide clear and helpful information for maintaining gravel roads. Very little technical help is available to small agencies that are responsible for managing these roads. Gravel road maintenance has traditionally been "more of an art than a science" and very few formal standards exist. This manual contains guidelines to help answer the questions that arise concerning gravel road maintenance such as: What is enough surface crown? What is too much? What causes corrugation? The information is as nontechnical as possible without sacrificing clear guidelines and instructions on how to do the job right.

Distress Identification Manual for the Long-term Pavement Performance Project

Distress Identification Manual for the Long-term Pavement Performance Project PDF Author:
Publisher: Strategic Highway Research Program (Shrp)
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 164

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Book Description


Road and Airfield Pavement Technology

Road and Airfield Pavement Technology PDF Author: H. R. Pasindu
Publisher: Springer Nature
ISBN: 303087379X
Category : Technology & Engineering
Languages : en
Pages : 917

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Book Description
This volume gathers the latest advances, innovations, and applications in the field of pavement technology, presented at the 12th International Conference in Road and Airfield Pavement Technology (ICPT), hosted by the University of Moratuwa, Sri Lanka, and held on July 14-16, 2021. It covers topics such as pavement design, evaluation and construction, pavement materials characterization, sustainability in pavement engineering, pavement maintenance and rehabilitation techniques, pavement management systems and financing, transportation safety, law and enforcement related to pavement engineering, pavement drainage and erosion control, GIS applications, quarry material assessment, pavement instrumentation, IT and AI applications in pavement. Featuring peer-reviewed contributions by leading international researchers and engineers, the book is a timely and highly relevant resource for materials scientists and engineers interested in pavement engineering.

Pavement Surface Evaluation and Rating

Pavement Surface Evaluation and Rating PDF Author: Donald Walker
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 39

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Book Description