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Analysis Of Human Behavior For Robot Design And Control, Tyagi Ramakrishnan, Seok Hun Kim, Kyle B. Reed Jan 2019

Analysis Of Human Behavior For Robot Design And Control, Tyagi Ramakrishnan, Seok Hun Kim, Kyle B. Reed

Mechanical Engineering Faculty Publications

The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter’s effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries. It can also combine subsets of the different gait parameters to provide a more thorough analysis. The single number quantifying gait could assist robotic rehabilitation methods to optimize the resulting gait patterns. CGAM will help define quantitative thresholds for achievable balanced overall gait asymmetry. The study presented here compares the combined gait parameters …


A Route Navigation Algorithm For Pedestrian Simulation Based On Grid Potential Field, Minghua Li, Yun Wei, Yan Xu Jan 2019

A Route Navigation Algorithm For Pedestrian Simulation Based On Grid Potential Field, Minghua Li, Yun Wei, Yan Xu

Civil and Environmental Engineering Faculty Publications

Pedestrian simulation modeling has become an important means to study the dynamic characters of dense populations. In the continuous pedestrian simulation model for complex simulation scenario with obstacles, the pedestrian path planning algorithm is an indispensable component, which is used for the calculation of pedestrian macro path and microscopic movement desired direction. However, there is less efficiency and poor robustness in the existing pedestrian path planning algorithm. To address this issue, we propose a new pedestrian path planning algorithm to solve these problems in this article. In our algorithm, we have two steps to determine pedestrian movement path, that is, …


Future Climate And Land Use Change Impacts On River Flows In The Tapajós Basin In The Brazilian Amazon, Fabio Farinosi, Mauricio E. Arias, Eunjee Lee, Marcos Longo, Fabio F. Pereira, Angela Livino, Paul R. Moorcroft, John Briscoe Jan 2019

Future Climate And Land Use Change Impacts On River Flows In The Tapajós Basin In The Brazilian Amazon, Fabio Farinosi, Mauricio E. Arias, Eunjee Lee, Marcos Longo, Fabio F. Pereira, Angela Livino, Paul R. Moorcroft, John Briscoe

Civil and Environmental Engineering Faculty Publications

Land conversion and changing climate are expected to significantly alter tropical forest hydrology. We used a land surface model integrated with a river routing scheme to analyze the hydrological alterations expected in the Tapajós River basin, a large portion of the Brazilian Amazon, caused by two environmental drivers: climate and land use. The model was forced with two future climate scenarios (years 2026–2045) from the Earth System Model HadGem2-ES with moderate (+4.5 W/m2 radiative forcing value in the year 2100 with respect to preindustrial levels) and severe (+8.5 W/m2) representative atmospheric carbon dioxide pathways (Representative Concentration Pathways). …


Analysis Of Truck-Related Crashes Of Freeways In China, Ting Xu, Rui-Sen Jiang, Lei Zhao, Long Qi, Yu Zhang Jan 2019

Analysis Of Truck-Related Crashes Of Freeways In China, Ting Xu, Rui-Sen Jiang, Lei Zhao, Long Qi, Yu Zhang

Civil and Environmental Engineering Faculty Publications

Truck-related crashes result in tremendous lives and property loss and become a serious safety issue in China. The goal of this article is to identify the influential factors for severity of truck-related crashes using data from Jingjintang freeways in China and to design an ordered probit model to explore their relationship. Records including crashes, traffic flow attributes, and geometric design features ranging from 2009 to 2012 were collected from Jingjintang freeway. Crashes are divided into three severity levels: slight injury, injury, and fatal injury. The injury crashes is ranking the first place occupying 64.37%. Truck-related crashes are likely to occur …