Browsing by Author "Ferne, Brian"
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- Development of a Performance Prediction Model to Manage Flushing of Sprayed Seal PavementsKodipply, Sachi; Ingham, Jason M.; Henning, Theunis F. P. (2015-06-04)Flushing is a defect which has a damaging effect on the functional performance of sprayed seal (chip seal) pavements. Accurate understanding of flushing can have a significant impact when predicting the future performance and maintenance needs of pavements. The reported study was conducted to develop a prediction model to effectively identify, asses and manage flushed pavements. The study also aimed to develop a decision-making tool for treating flushed pavements. This study utilized pavement data from New Zealand's Long-Term Pavement Performance programme and data analysis was conducted to develop a model to predict the flushing potential of chip seal pavements. Additionally, the study conducted laboratory testing on pavement samples from flushed chip seal pavements. The conducted tests included wheel tracking and rutting measurements, air void volume measurements, as well as computed tomography scanning and image analysis. The laboratory test results were used to supplement the outputs of the performance prediction model in detecting the mechanisms that were causing flushing. The outcomes of this study included a model that was able to predict a) the probability of flushing initiation, and b) the quantity of flushing on a pavement. This model was statistically robust where the flushing initiation model had an accuracy of 76%. The flushing prediction model and the laboratory results were incorporated into an overall pavement assessment guideline for flushed pavements. This assessment guideline will aid pavement practitioners with accurate identification of flushing on a pavement network as well as with selecting the best method of maintenance treatment for flushed chip seal pavements.
- Development of a Sustainable Pavement Management Strategy for Resurfacing Low Volume Roads in New BrunswickLanders, Shawn; Mason, Don; MacNaughton, John (2015-06-04)The New Brunswick Department of Transportation and Infrastructure is responsible for the rehabilitation and maintenance of approximately 19,650 km of highways and roads. Nearly 85 percent of this network is paved, including 9680 km of low volume highways and roads. Maintaining this network at an acceptable standard requires a significant investment that has become increasingly challenging given current economic and fiscal constraints. Since available funding needs to be directed towards higher priority projects, the rehabilitation costs for low volume roads is escalating as they often require full or partial reconstruction by the time they are treated due to the extent of deterioration. In response, the Department undertook a study to develop a sustainable pavement management strategy to ensure that the most appropriate surface type is selected in the future for each road. The process, which will become part of the Department's Asset Management Program, was to be based on clearly defined and transparent level of service criteria that considered engineering suitability, least life-cycle cost, and functional / service characteristics. The study included a review of existing practices and policies from other jurisdictions, an assessment of key factors to be considered, and the development of a multi-staged, screening decision making framework. Implementing the strategy would result in the conversion of a significant portion of existing low volume asphalt surfaced roads to treated surfaces with an estimated reduction of $4.6 to $6.3 million annually in rehabilitation costs, and place the province in a much stronger position for achieving infrastructure sustainability.
- Ensuring Roadway and Utility Financial Sustainability Through Right-of-Way Capital Planning & OptimizationLombard, Chris; Ruck, Gary (2015-06-04)Tetra Tech, founded in 1966, generated $2.5 billion in revenue in 2014; has 14,000 employees worldwide; worked in more than 135 countries in 2014; and is publicly traded on NASDAQ as TTEK. The original objectives of the study described herein were to: 1) develop GIS based location referencing in support of not only PMS but also other linear assets; 2) develop a Life Cycle Cost-based strategy selection for all paved roads based on newly collected data; 3) compare the present condition of the network to the predicted condition in future years based on the current and alternate funding levels; and 4) provide information to allow the City of Saskatchewan to select annual funding level that will sustain the quality and value of the pavement network in the long-term.
- How do 1st and 2nd generation Traffic Speed Deflectometers compare? - Results of a UK trialFerne, Brian; Drusin, Stefano; Baltzer, Susanne (2014-09)
- The Impact of Driving, Non-driving Work, and Rest Breaks on Driving Performance in Commercial Vehicle OperationsBlanco, Myra; Hanowski, Richard J.; Olson, Rebecca Lynn; Morgan, Justin F.; Soccolich, Susan A.; Wu, Shih-Ching (United States. Federal Motor Carrier Safety Administration, 2011-05)Current hours-of-service (HOS) regulations prescribe limits to commercial motor vehicle (CMV) drivers' operating hours. Besides assessing activities performed in the 14-hour workday, the relationship between safety-critical events (SCEs) and driving hours, work hours, and breaks was investigated. The data used in the analyses were collected in the Naturalistic Truck Driving Study and included 97 drivers and about 735,000 miles of continuous driving data. The assessment of the drivers' workday determined that, on average, drivers spent 66 percent of their shift driving, 23 percent in non-driving work, and 11 percent resting. Analyses on driving hours (i.e., driving only) and SCE risk found a time-on-task effect across hours. Analyses on work hours (i.e., driving in addition to non-driving work) found that risk of being involved in an SCE increased as work hours increased. This suggests that time-on-task effects may not be related to driving hours alone, but implies an interaction between driving hours and work hours: if a driver begins the day with several hours of non-driving work, followed by driving that goes deep into the 14- hour workday, SCE risk was found to increase. The finding from the workday characterization that drivers spent approximately 23 percent of their workday performing non-driving work provides a possible explanation for this time-on-task effect across work hours. Breaks from driving were found to be beneficial in reducing SCEs (during 1- hour window after a break) and were effective to counteract the negative effects of time-on-task.
- Network Structural Surveys in the UK - Current Status and Future European DevelopmentsFerne, Brian; Langdale, Peter; Wright, Alex (2014-09)
- Right measures? Right Quality? Right Quantity? What is the Benefit?Van, Thomas P.; Blanco, Rudy; Perera, Rohan W.; Choubane, Bouzid; Andrews, John; Ferne, Brian (2014-09)
- Theme Summary: Structural SessionsAndrews, John; Ferne, Brian (2014-09)