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William J. Rasdorf
Researcher at North Carolina State University
Publications - 169
Citations - 2721
William J. Rasdorf is an academic researcher from North Carolina State University. The author has contributed to research in topics: Diesel fuel & Database design. The author has an hindex of 28, co-authored 163 publications receiving 2453 citations. Previous affiliations of William J. Rasdorf include Stanford University & Oklahoma State University–Stillwater.
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Journal ArticleDOI
Real-World In-Use Activity, Fuel Use, and Emissions for Nonroad Construction Vehicles: A Case Study for Excavators
Saeed Abolhasani,H. Christopher Frey,Kangwook Kim,William J. Rasdorf,Phil Lewis,Shih-Hao Pang +5 more
TL;DR: The importance of accounting for intercycle variability in real-world in-use emissions to develop more accurate emission inventories is demonstrated by the development and demonstrated for deployment of a portable emission measurement system for excavators.
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Comprehensive Field Study of Fuel Use and Emissions of Nonroad Diesel Construction Equipment
TL;DR: In this paper, a portable emissions monitoring system was used to collect fuel use and emissions data from eight backhoes, six bulldozers, three excavators, four generators, six motor graders, three off-road trucks, one skid-steer loader, three track loaders, and five wheel loaders while they performed various duty cycles.
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Requirements and Incentives for Reducing Construction Vehicle Emissions and Comparison of Nonroad Diesel Engine Emissions Data Sources
TL;DR: In this article, the authors introduce the chall... The purpose of this paper is to quantify the levels of emissions that nonroad construction vehicles and equipment produce, based on existing data sources (such as the EPA NONROAD model) or by collecting data directly from the vehicles as they work in the field.
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Cost‐ and Schedule‐Control Integration: Issues and Needs
TL;DR: A number of data models have been proposed to integrate cost and schedule control functions, because such integration is viewed as the, solution to the many problems facing construction projects today as mentioned in this paper.
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Evaluation of uncertainties associated with geocoding techniques
TL;DR: Three geocoding algorithms were used and tested and the results were compared with the data collected by the Global Positioning System (GPS), indicating no significant differences between the three algorithms.