New autonomous fleet coordination approach aims to tackle rush-hour traffic

T2Covered by 1 source · first reported by electrive / Charged EVs / The Autopian / Sustainable Bus at 23 Oct, 15:00 UTC

Researchers at Sweden's Chalmers University have developed an optimisation method to more efficiently guide autonomous electric taxis through urban traffic. The approach combines AI forecasts with mathematical models and is designed to account for unpredictable factors such as unusual weather…

evscience

Sources

• T2New autonomous fleet coordination approach aims to tackle rush-hour trafficelectrive / Charged EVs / The Autopian / Sustainable Bus23 Oct, 15:00