Browsing by Author "Hosten, Akyiaa"

Now showing 1 - 9 of 9
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    Delivering a Risk-based Skid Resistance Strategy for a Roading Network
    Hunt, Simon (2015-06-04)
    Delivering a Risk-based Skid Resistance Strategy for a Roading Network Road safety is a significant risk to a road controlling authority, especially if the condition of its assets contributes directly to accidents. One of the key contributors to road safety is the road surface. Funding is increasingly constrained, so a risk-based skid resistance strategy has to be developed for the road network to give us a prioritized programme of work. In New Zealand, all state highway and local road maintenance (physical works and asset management) is outsourced to the private sector, and Fulton Hogan is a major road maintenance management provider in New Zealand. Working with several local government councils, Fulton Hogan have developed and implemented the following methodology for developing a skid resistance strategy for a roading network: Familiarization with the relevant Council and Transport Agency documents. Road Segmentation: Splitting the road network into segments based on road classification, accident history, high risk locations (as per NZTA's T10 Specification) and surfacing age. Site inspection to confirm the roading segments. Weighted scoring system based on the risk of an accident to give a priority score for each segment. Determine the skid resistance and texture testing regime based on the ranking of the road segments. Develop a suite of treatments, based on performance, including proven aggregate performance. Develop treatment programme, including temporary solutions, based on available funds and site ranking. Develop and implement a monitoring programme to improve strategy. Through a number of case studies, this paper will demonstrate how the development and implementation of this strategy delivers a risk-based prioritized skid resistance works programme tailored to the respective Council's budget.
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    Effect of Traffic and Environmental Factors on Roughness Progression Rate of Sealed Low Volume Arterials
    Alaswadko, Nahla; Hassan, Rayya A.; Evans, Robert (2015-06-04)
    A high proportion of the rural arterial network in Victoria /Australia are low volume roads built of sealed granular pavements, which are important routes for freight movement between rural centres. Investigation into rehabilitation of these arterials is triggered when roughness reaches a certain threshold level. To assist road agencies in their long term planning, a project has been initiated to develop absolute deterministic deterioration models for these roads. A representative sample network of low volume arterial roads has been selected and all relevant data including pavement condition are collected. The network covers a representative range of traffic loading, subgrade reactivity level and environmental factors. For each highway section, raw longitudinal profile data from at least four years was used to determine roughness progression over time. All profile data was aligned and then cleaned and filtered to ensure that the same length of road profile was compared over time. To remove the influence of maintenance activities, only sections with positive progression was included. Multiple linear regression analysis was used to develop models for these sections to predict pavement roughness over time as a function of a number of contributing variables. The output of the analyses was used to evaluate the significance and contribution of the different factors including traffic and environmental conditions. This paper provides a description of data preparation and analysis. It was observed that higher traffic loading and soil reactivity, poor drainage and climates with high seasonal variation increase roughness progression rate.
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    Future Development Needs In Asset Management – The World Bank’s Perspective
    Bennett, Christopher R.; Hede, Jens C. H. (2015-06-04)
    The World Bank is playing, and has historically played, an important role in development in the road asset management sector. We are involved in supporting our partner countries in most of the relevant activities normally captioned under asset management; from data collection; data analysis; maintenance delivery as well as the reforms needed to make it all work. The Bank’s engagement in the sector can among others been seen from our role in developing HDM, a cornerstone in many asset management systems (especially in the developing world) as well as in the successful adoption of performance based maintenance in many countries.
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    Going Beyond Performance Targets in MAP-21 for Local Agencies
    Tan, Sui G. (2015-05-20)
    Since 1984, the Metropolitan Transportation Commission (MTC), the San Francisco Bay Area regional planning organization (MPO), has continued to develop and enhance its pavement management system (PMS) software - StreetSaver. StreetSaver was chosen by the League of California Cities and the California State Association of Counties to power the California local streets and roads statewide needs assessment. In the MTC region, the software is used to assist all 109 local jurisdictions allocate resources, predict the future condition of their pavements, and demonstrate the effects of different funding scenarios. More recently, MTC's efforts to encourage pavement preservation strategies have also paid dividends and jurisdictions have shifted away from "worst first" strategies. The performance based, outcome-driven approach that incentivizes preventive maintenance was well documented, and has been modeled by other MPOs to meet the Moving Ahead for Progress in the 21st Century Act (MAP-21). Not surprisingly, setting the MAP-21 performance targets for pavement condition in the MTC region is straight forward. However, relating regional targets to the local environment is a different story. In order to see the fuller picture, MTC has worked with local agencies to interpret the targets and developing key performance indicators (KPI) that will help them to gauge their performance at the local level. The KPIs were developed to inform local decision making and pavement maintenance strategy decisions to support their local investment policy. Specifically, the information provided will assist local agencies in answering: What is the existing condition of the road network? What amount of funding is currently invested in pavement preservation What amount of funding is needed to achieve the state of good repair? How effective is the pavement preservation effort? The intent of the KPIs is to improve agency's overall performance and promote increased transparency and accountability for their pavement management programs, beyond the basic performance measures set in MAP-21.
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    Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts
    Trimble, Tammy E.; Bishop, Richard; Morgan, Justin F.; Blanco, Myra (United States. National Highway Traffic Safety Administration, 2014-07)
    Within the context of automation Levels 2 and 3, this report documents the proceedings from a literature review of key human factors studies that was performed related to automated vehicle operations. This document expands and updates the results from a prior literature review that was performed for the US DOT. Content within this document reflects the latest research and OEM activity as of June 2013. Studies both directly addressing automated driving, and those relevant to automated driving concepts have been included. Additionally, documents beyond the academic literature, such as articles, summaries, and presentations from original equipment manufacturers and suppliers, have been researched. Information from both United States and international projects and researchers is included. This document also identifies automated-driving relevant databases in support of future research efforts.
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    An Implementable Framework for Standardizing National Pavement Crack Measures
    Tsai, Yichang; Jiang, Chenglong (2015-05-19)
    National consistent pavement performance measures are essential for MAP-21. Cracks, as the most common type of pavement distresses and an important symptom of potential pavement failure, are a major component of many transportation agencies' pavement performance measures. However, due to the significant diversity among the state DOTs pavement distress protocols, it remains a challenge to establish consistent, nationwide crack measures. State DOTs have, over decades, invested major resources to collect and maintain their legacy data for pavement management and are not willing to change their distress protocols. This paper presents an implementable framework to address this issue using a multi-scale crack analysis concept based on Crack Fundamental Element (CFE). The framework aims to systematically provide physical and topological crack properties using three scales: fundamental crack properties, aggregated crack properties, and CFE cluster geometrical properties. These crack properties are independent from state DOT's protocols, so they can be measured consistently and are flexible enough to transform into the Federal LTPP pavement distress manual and states' legacy protocols through rules and modeling. An actual pavement segment on State Route 236 in Georgia is used to demonstrate the compatibility between the proposed framework and the Georgia DOT COPACES manual; the experimental tests show that these proposed crack measures can be transformed into existing crack definitions with over 90 percent accuracy as compared to human established ground truth. The proposed framework will establish a crucial foundation towards national standardized pavement performance measures.
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    Maximise levels of service using cross-asset portfolio renewals management
    Mason, Michael; Rangamuwa, Siri; Henning, Theunis F. P. (2015-06-04)
    Auckland Transport is tasked with managing its road and public transport assets in the most cost-efficient manner to deliver levels of service and manage risk across the asset portfolio. The renewals approach outlined in this paper is part of an optimized decision-making methodology that is helping improve customer satisfaction through a more robust, consistent and equitable approach to the management of transport assets and their levels of service across the region. Auckland Transport asset management has been developing a renewals optimization model (ROM) to help optimize the condition profile of the portfolio and provide investment options to balance levels of service, cost and risk for each asset class. It identifies the investment required to change the current condition profile of each asset class to a more cost-efficient state while having regard for funding constraints, levels of service, risk and whole of life cost. It uses accepted depreciation curves for each asset group, an interactive process of allocating investment for renewals by insuring the investment for each asset class achieves the desired level of service in a balanced manner. The tool also enables the development of portfolio investment options for renewals scenario decision making based on the specific requirements of each asset class. It achieves this by identifying the consequences of trade-offs between: - steady condition state to be achieved. - level of service required. - number of years allowed to achieve desired levels of service. - level of backlog that can be accepted based on risk, criticality, movement and public perception considerations. The outcome of this approach is a balanced long-term renewals programme that will help resolve inherited variations in the condition state of transport assets and their levels of service across the region.
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    The Use of Measured Pavement Performance Indicators and Traffic in Determining Optimum Maintenance Actions for a toll road in South Africa and Comparison with HDM-4 Predictions
    Weidemann, Jurgens; Madsen-Leibold, Surita; Redivo, Stefano; Mkabela, Cebile (2015-06-04)
    The Bela-Bela/Polokwane toll road on National Route 1 was the first Build, Operate and Transfer (BOT) type contract in South Africa. Extensive data on the pavement performance and traffic loading was collected as part of a detailed monitoring program since the opening of the road in 1997. This data was used to determine cost-effective and optimal maintenance actions in order to reduce life cycle costs. This case study illustrates how the measurement of pavement performance indicators and traffic were used to effectively design the maintenance actions required over the life of the pavement. This paper also includes a comparison of the actual pavement performance data collected for this 156.43 km long toll road with the performance as predicted by HDM-4 pavement deterioration models. An objective of this paper is to evaluate the appropriateness of the HDM-4 models for the specific climatic and traffic loading conditions that this specific pavement was subjected to. A significant feature of the comparative study is that the data used was collected on project level using short road segments and relatively short time intervals.
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    Use of VDOT's Pavement Management System to Proactively Plan and Monitor Pavement Maintenance and Rehabilitation Activities to Meet the Agency's Performance Target
    Hosten, Akyiaa; Chowdhury, Tanveer; Shekharan, Raja A.; Ayotte, Matthew; Coggins, Eddie (2015-06-04)
    The Virginia Department of Transportation (VDOT) has an established Pavement Management Program that includes data collection, needs assessment, performance targets, and performance-based budgeting. As a part of data collection and needs assessment, an annual survey of pavement condition is used to estimate the current and project the future pavement maintenance and rehabilitation needs. Pavement condition targets are established, and are used to monitor and assess the effectiveness of maintenance and rehabilitation activities, as well as prioritize the use of limited funds. A performance based budgeting process establishes budget allocations based on scenarios showing the expected system performance that can be achieved at different levels of investment. To achieve these goals of the Program, VDOT has relied on the Pavement Management System (PMS) to store, report and analyze the annual pavement condition data, estimate pavement maintenance and rehabilitation needs through multi-constraint optimization and predict future performance. To meet the established performance targets, various treatment types are recommended by the PMS for the entire pavement network. The current approach has focused on using the PMS to provide information for needs assessment, budgeting, and program development. However, there is a need to provide traceability between the treatments selected by the PMS through optimization, which provides the basis for budgeting and the work actually planned and performed in the field. A process is established that helps track the planned projects and assess the impacts of changes in budget throughout the year allowing pavement professionals to take proactive steps to make the most effective decisions.