Sentence examples for model of road from inspiring English sources

Kusano and Gabler (2012) have presented a computational model of road departure crashes.

Based on the characteristics of FCM results, we propose a discriminant correction model, which is based on FCM algorithm and trapezoidal forecasting model of road probability decision model.

Our model of road accessibility did not include the flow of traffic or the ability of detour roads to cope with the volume of road flow (Jenelius et al. 2006).

Using data collected and a numerical model of road life cycle assessment (LCA), i.e. ECORCE, six indicators could be evaluated, namely: energy consumption, global warming potential, acidification, eutrophication, photochemical ozone creation, and human chronic toxicity.

To this effect, a time-efficient methodology based on quantitative and qualitative modelling of road stiffness is developed.

Although many statistical regression models of road traffic relationships have been formulated, they have proven to be unsuitable due to multiple and ill-defined traffic characteristics.

The aim of this study was to assess the impacts of the Swedish road network by spatial modelling of road effects, to explore potential impacts of fragmentation and disturbance effects of roads on habitat networks for selected ecological profiles, and to discuss the utility of applying quantitative methods for environmental assessment purposes.

Therefore, there is a marked difference in the complexity of the modeling of road traffic noise, where the more urban areas necessitate a more detailed approach because of complex factors such as attenuation and reflection.

Because input data are critical for the modeling of road traffic noise, HYENA countries will aim for the highest possible accuracy, when selecting the data collection methods according to the tool kits in the GPG.

Models of roads and vehicles based on edge information are presented, the Bayesian problem's formulations are constructed, and a Markov chain is designed to sample proposals to detect vehicles.

Since Sunday, the drone has been flying above the largest oil field in North America using high-tech sensors to create 3-D computerized models of roads, pads and pipelines for industrial applications.