Computer Sciences

AI improves detail, estimate of urban air pollution

Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5)—the soot, dust and exhaust emitted by trucks and cars that get into human ...

Engineering

'Google Earth on steroids' gives a boost to urban development

A new approach uses aerial imaging to generate 3D models of cities and regions with advanced precision, enabling urban planners to incorporate full-scale designs of all types of architectural and urban structures.

Computer Sciences

Simulating realistic lane changes in two-lane traffic

Many urban areas worldwide are now rapidly expanding, often with major negative impacts on traffic congestion. To address this issue, researchers have constructed models aiming to simulate the flow of traffic—but so far, ...

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