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Author: Lin Qiu Publisher: ISBN: Category : Roads Languages : en Pages : 134
Book Description
The goal of this research project was to develop a method to measure the performance of a winter maintenance program with respect to the task of providing safety and mobility to the traveling public. Developing these measures required a number of steps, each of which was accomplished. First, the impact of winter weather on safety (crash rates) and mobility (average vehicle speeds) were measured by a combination of literature reviews and analysis of Iowa Department of Transportation traffic and Road Weather Information System data. Second, because not all winter storms are the same in their effects on safety and mobility, a method had to be developed to determine how much the various factors that describe a winter storm actually change safety and mobility. As part of this effort a storm severity index was developed, which ranks each winter storm on a scale between 0 (a very benign storm) and I (the worst imaginable storm). Additionally a number of methods of modeling the relationships between weather, winter maintenance actions and road surface conditions were developed and tested. The end result of this study was a performance measure based on average vehicle speed. For a given class of road, a maximum expected average speed reduction has been identified. For a given storm, this maximum expected average speed reduction is modified by the storm severity index to give a target average speed reduction. Thus, if for a given road the maximum expected average speed reduction is 20 mph, and the storm severity for a particular storm is 0.6, then the target average speed reduction for that road in that storm is 0.6 x 20 mph or 12 mph. If the average speed on that road during and after the storm is only 12 mph or less than the average speed on that road in good weather conditions, then the winter maintenance performance goal has been met.
Author: Lin Qiu Publisher: ISBN: Category : Roads Languages : en Pages : 134
Book Description
The goal of this research project was to develop a method to measure the performance of a winter maintenance program with respect to the task of providing safety and mobility to the traveling public. Developing these measures required a number of steps, each of which was accomplished. First, the impact of winter weather on safety (crash rates) and mobility (average vehicle speeds) were measured by a combination of literature reviews and analysis of Iowa Department of Transportation traffic and Road Weather Information System data. Second, because not all winter storms are the same in their effects on safety and mobility, a method had to be developed to determine how much the various factors that describe a winter storm actually change safety and mobility. As part of this effort a storm severity index was developed, which ranks each winter storm on a scale between 0 (a very benign storm) and I (the worst imaginable storm). Additionally a number of methods of modeling the relationships between weather, winter maintenance actions and road surface conditions were developed and tested. The end result of this study was a performance measure based on average vehicle speed. For a given class of road, a maximum expected average speed reduction has been identified. For a given storm, this maximum expected average speed reduction is modified by the storm severity index to give a target average speed reduction. Thus, if for a given road the maximum expected average speed reduction is 20 mph, and the storm severity for a particular storm is 0.6, then the target average speed reduction for that road in that storm is 0.6 x 20 mph or 12 mph. If the average speed on that road during and after the storm is only 12 mph or less than the average speed on that road in good weather conditions, then the winter maintenance performance goal has been met.
Author: Jillian Lyon Publisher: ISBN: Category : Adair County (Iowa) Languages : en Pages : 30
Book Description
Winter weather in Iowa is often unpredictable and can have an adverse impact on traffic flow. The Iowa Department of Transportation (Iowa DOT) attempts to lessen the impact of winter weather events on traffic speeds with various proactive maintenance operations. In order to assess the performance of these maintenance operations, it would be beneficial to develop a model for expected speed reduction based on weather variables and normal maintenance schedules. Such a model would allow the Iowa DOT to identify situations in which speed reductions were much greater than or less than would be expected for a given set of storm conditions, and make modifications to improve efficiency and effectiveness. The objective of this work was to predict speed changes relative to baseline speed under normal conditions, based on nominal maintenance schedules and winter weather covariates (snow type, temperature, and wind speed), as measured by roadside weather stations. This allows for an assessment of the impact of winter weather covariates on traffic speed changes, and estimation of the effect of regular maintenance passes. The researchers chose events from Adair County, Iowa and fit a linear model incorporating the covariates mentioned previously. A Bayesian analysis was conducted to estimate the values of the parameters of this model. Specifically, the analysis produces a distribution for the parameter value that represents the impact of maintenance on traffic speeds. The effect of maintenance is not a constant, but rather a value that the researchers have some uncertainty about and this distribution represents what they know about the effects of maintenance. Similarly, examinations of the distributions for the effects of winter weather covariates are possible. Plots of observed and expected traffic speed changes allow a visual assessment of the model fit. Future work involves expanding this model to incorporate many events at multiple locations. This would allow for assessment of the impact of winter weather maintenance across various situations, and eventually identify locations and times in which maintenance could be improved.
Author: Gang Xu Publisher: ISBN: Category : Roads Languages : en Pages : 94
Book Description
This document is the final report for the Clear Roads project entitled Snow Removal Performance Metrics. The project team was led by researchers at Washington State University on behalf of Clear Roads, an ongoing pooled fund research effort focused on winter maintenance materials, equipment, and methods. Clear Roads research projects are managed and administered by the Minnesota Department of Transportation (MnDOT). Through this project, the research team conducted a comprehensive literature review on the use of performance measures by transportation agencies for winter highway maintenance activities. To identify the effective performance metrics for snow and ice maintenance operations, the team surveyed all possible snow and ice states to gather information about their use of performance measures. The survey results were tabulated and analyzed to identify commonalities and differences between agencies and to develop a matrix of performance measures. Relative costs associated with different metrics were also presented. Based on the literature review and survey results, recommendations were made regarding the performance measures that should be considered for further evaluation. Remaining knowledge gaps were also identified, and recommendations were made for cases where existing measures may be modified or new measures developed for evaluation in future research.
Author: T. H. Maze Publisher: ISBN: Category : Roads Languages : en Pages : 142
Book Description
Under the NCHRP 06-17 project, the research team surveyed snow and ice control organizations in the United States, Canada, Europe, and Asia to determine the current trends in performance measurement. The team also inquired about the methods used in developing these programs in order to determine a practical, user friendly method to assist snow and ice control managers in developing a performance measurement system that uses traditional and nontraditional performance indicators and measurement issues. To achieve the project objectives, the researchers issued a survey to snow and ice control agencies throughout North America, Europe, and Asia to obtain data of the performance indicators and measures used, if any, by these agencies. The identified performance indicators and measures were then categorized, defined, and assessed for their usefulness. A process was then developed to assist snow and ice control operations managers in preparing a customer-focused, environmentally friendly performance measurement program.
Author: Xianming Shi Publisher: John Wiley & Sons ISBN: 1119185068 Category : Technology & Engineering Languages : en Pages : 476
Book Description
The first and only comprehensive guide to best practices in winter road operations Winter maintenance operations are essential to ensure the safety, mobility, and productivity of transportation systems, especially in cold-weather climates, and responsible agencies are continually challenged to provide a high level of service in a fiscally and environmentally responsible manner. Sustainable Winter Road Operations bridges the knowledge gaps, providing the first up-to-date, authoritative, single-source overview and guide to best practices in winter road operations that considers the triple bottom line of sustainability. With contributions from experts in the field from around the world, this book takes a holistic approach to the subject. The authors address the many negative impacts on regional economies and the environment of poorly planned and inadequate winter road operations, and they make a strong case for the myriad benefits of environmentally sustainable concepts and practices. Best practice applications of materials, processes, equipment, and associated technologies and how they can improve the effectiveness and efficiency of winter operations, optimize materials usage, and minimize cost, corrosion, and environmental impacts are all covered in depth. Provides the first up-to-date, authoritative and comprehensive overview of best practices in sustainable winter road operations currently in use around the world Covers materials, processes, equipment, and associated technologies for sustainable winter road operations Brings together contributions by an international all-star team of experts with extensive experience in designing, implementing, and managing sustainable winter road operations Designed to bring professionals involved in transportation and highway maintenance and control up to speed with current best practice Sustainable Winter Road Operations is essential reading for maintenance professionals dealing with snow and ice control operations on highways, motorways and local roads. It is a valuable source of information and guidance for decision makers, researchers, and engineers in transportation engineering involved in transportation and highway maintenance. And it is an ideal textbook for advanced-level courses in transportation engineering.
Author: Luchao Cao Publisher: ISBN: Category : Languages : en Pages : 125
Book Description
Winter road maintenance (WRM) operations, such as plowing, salting and sanding, are significant to maintain both safety and mobility of highways, especially in countries like Canada. Traditionally, WRM performance is measured using bare pavement regain time and snow depth/coverage, which are reported by maintenance or quality assurance personnel based on periodic visual inspection during and after snow events. However, the increasing costs associated with WRM and the lack of objectivity and repeatability of traditional performance monitoring methods have stimulated significant interest in developing alternative performance measures. This research is motivated by the need to develop an outcome based WRM performance measurement system with a specific focus on investigating the feasibility of inferring WRM performance from traffic state. The research studies the impact of winter weather and road surface conditions (RSC) on the average traffic speed of rural highways with the intention of examining the feasibility of using traffic speed from traffic sensors as an indicator of WRM performance. Detailed data on weather, RSC, and traffic over three winter seasons from 2008 to 2011 on rural highway sites in Iowa, US is used for this investigation. Three modeling techniques are applied and compared for modeling the relationship between traffic speed and various road weather and surface condition factors, including multivariate linear regression, artificial neural network (ANN), and time series analysis. Multivariate linear regression models are compared by temporal aggregation (15 minutes vs. 60 minutes), types of highways (two-lane vs. four-lane), and model types (separated vs. combined). The research also examines the feasibility of estimating/classifying RSC based on traffic speed and winter weather factors using multi-layer logistic regression classification trees. The modeling results have shown the expected effects of weather variables including precipitation, temperature and wind speed, and verified the statistically strong relationship between traffic speed and RSC. The findings suggest that speed could potentially be used as an indicator of bare pavement conditions and thus the performance of WRM operations. It is also confirmed that the time series model could be a valuable tool for predicting real-time traffic conditions based on weather forecast and planned maintenance operations, and the multi-layer logistic regression classification tree model could be applied for estimating RSC on highways based on average traffic speed and weather conditions.
Author: Michael J. Markow Publisher: Transportation Research Board ISBN: 0309223474 Category : Business & Economics Languages : en Pages : 96
Book Description
"This synthesis examines current performance-based management practices that are applied by state departments of transportation (DOTs) in highway maintenance and operations (M&O). Past studies have focused on the elements that make up a performance-based M&O approach, such as condition ratings, levels of service, performance measures, and threshold values. This study focuses on how state DOTs actually use performance-based measures to manage their highway programs."--Preface.
Author: Publisher: Thomas Telford ISBN: 0727729578 Category : Highway engineering Languages : en Pages : 106
Book Description
- Introduction - Operational requirements - Weather forecasting - Support technology, research and development - Specialist plant and transport - Privatization - Appendix
Author: Lin Qiu
Author: Lin Qiu
Author: Jillian Lyon
Author: Gang Xu
Author: T. H. Maze
Author: Xianming Shi
Author: Luchao Cao
Author: 
Author: Michael J. Markow
Author: 
Author: Sany Zein