2006•Unpublished venueRequires access

Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

Miguel Sánchez López, Juan‐Carlos Cano, Dongkyun Kim

Abstract

Modern traffic control systems include smart feedback into the traffic light control system. New ways of improving our transit systems fuel efficiency are now more than welcome due to global warming and oil high price. This paper presents a new approach on how drivers and traffic lights can interact to save fuel. Our preliminary results show that 25% savings are within range in urban circuits

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OpenAlex reports 60 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Key concepts: Fuel efficiency, Transport engineering, Computer science, Range (aeronautics), Control (management), Automotive engineering, Engineering, Aerospace engineering