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Papers PublishedPosted: Jul 11, 2018 "Performance of Hyperspectral Imaging with Drone Swarms" was recently published in Transportation Research Record: Journal of the Transportation Research Board. The article presents a model to compare the performance of hyperspectral-imaging platforms in their spatial coverage and spatial resolution. The authors develop a data acquisition framework and use the model to compare the achievable performance among existing airborne and spaceborne hyperspectral imagine vehicles and drone swarms. The results show that, subject to cost and operational limitations, a platform implemented with drone swarms has the potential to provide greater spatial resolution for the same daily ground coverage compared with existing airborne platforms. Authors are Raj Bridgelall, James Rafert, and Denver Tolliver. "Developing a Highway Rail Grade Crossing Accident Probability Prediction Model: A North Dakota Case Study" was recently published in Safety. In the study, researchers developed a binary logit regression model to predict accident likelihood at highway rail grade crossings (HRCs) by incorporating various contributory factors in addition to population (based on census blocks 2010) within five miles of crossings. N.D. accident data from 2000 to 2016 was analyzed and used in the model development. The model results show that the number of daily trains, the maximum typical train speed, the number of through railroad tracks, and the number of highway/traffic lanes all affect accident likelihood. The presence of pavement markings in the form of stop lines helps reduce accident probability, while populations within five miles of HRCs have a positive relationship with crash likelihood. Authors were Ihsan Ullah Khan, EunSu Lee, and Muhammad Asif Khan. Ihsan and Muhammad are Transportation and Logistics Ph.D. students. Lee is a faculty member at New Jersey City University and a collaborator with UGPTI. |
