Automotive

Scientists create a neural network for adaptive shock absorbers

Scientists at South Ural State University have proposed an effective low-level controller based on an artificial neural network with a time delay for an adaptive shock absorber. Yuri Rozhdestvensky, DSc, and his research ...

Computer Sciences

New modelling methodology for large-scale dynamic networks

Engineering systems, such as power grids and transportation systems, are becoming increasingly complex and encompass numerous sub-systems that are spatially interconnected. Modeling of these 'dynamic networks' is an important ...

Automotive

How the road network determines traffic capacity

ETH researchers have shown that we can use the structure of urban road networks to predict their traffic capacity. This information enables urban and transportation planners to quantify how changes will influence traffic ...

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