Browsing by Subject "Ride quality"
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Item Effects of Seasonal Changes on Ride Quality at MnROAD(Minnesota Department of Transportation, 2008-07) Khazanovich, Lev; Bly, Peter; Shamin, Atika; Barnes, Randal J.This project studied frost heave as it relates to different pavement design parameters and ride quality deterioration. Elevations of frost pins embedded in MnROAD test sections were measured over four years. Pin elevation changes were analyzed to show the amount of frost heave and degree of frost heave uniformity within a cell. Various plots were made to show the elevation change and interquartile range of the pins over time. Statistical approaches such as visual analyses, Student-t hypothesis testing, and ANOVA analysis were used in this study to evaluate the effect of pavement design features on frost heave and roughness. Subgrade and base type, pavement thickness, and drainage capabilities are the major design factors that affect frost heave. The effects of frost heave on ride quality deterioration for flexible and rigid pavements could not be confirmed or statistically rejected in this study. No seasonal adjustment factor for IRI measurement is recommended for use in a pavement management system because no firm conclusions could be made from the data concerning a seasonal effect on IRI measurements.Item A Qualitative and Quantitative Assessment of Pavement Sections that have Remained in Poor Condition for 5-Plus Years(Minnesota Department of Transportation, 2021-06) Calhoon, Thomas; Marasteanu, MihaiThe 2014 Transportation Asset Management Plan calls for developing a method to annually track, monitor, and identify road segments that have been in poor condition for more than 5 years and consistently consider them when programming. In Minnesota, pavements are considered in poor condition when the ride quality index (RQI) is less than or equal to 2.0. There are still pavement segments that have remained in poor condition for more than 5 years. However, it is not clear if RQI and RSL metrics accurately quantify the "true" condition of the system. In this study, the roadway segments that have maintained a poor ride quality index over time were identified in each district and extensive additional information was obtained from interviews with district engineers and planners. The analysis of the additional information shows that most pavement sections that have remained in poor condition for extended periods are actually not in poor condition. They represent “anomalies” with unique characteristics, and new parameters must be established to quantify the true condition of these sections.Item Remaining Service Life Asset Measure, Phase 2(Minnesota Department of Transportation, 2022-02) Matias de Oliveira, Jhenyffer; Khani, Alireza; Davis, Gary; Marasteanu, MihaiThe main objectives of phase 2 of this project were to obtain relevant data to calculate the percent remaining service life interval (PRSI) and two additional metrics and to perform Markov chain analysis and dynamic programming to determine how much time and funding is required to bring the system to a stable configuration, which allows for more consistent planning. First, relevant pavement management data was obtained from MnDOT and preliminary data analyses were performed. The prediction models and optimization process currently used by MnDOT were investigated and summarized. Next, two additional metrics, Asset Sustainability Ratio and Deferred Preservation Liability, were calculated for MnDOT’s network. Then details of the estimation process of state-to-state transition probabilities to be used in the Markov chain model were presented. To allow for site-specific variation, ordinal logistic regression models were incorporated in the Markov chain model. The results were used in a dynamic programming optimization methodology to obtain baseline and optimal policies for different scenarios and a user-friendly excel spreadsheet tool was developed. Finally, a summary of the work performed followed by conclusions and recommendations was presented.