Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

Miguel Sanchez; Juan-carlos Cano; Dongkyun Kim

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https://doi.org/10.1109/itst.2...

Article . 2006 . Peer-reviewed

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https://dx.doi.org/10.1109/its...

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Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2006Publisher:IEEEJournal:2006 6th International Conference on ITS Telecommunications

Authors: Miguel Sanchez; Juan-carlos Cano; Dongkyun Kim;

doi: 10.1109/itst.2006.288906

Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

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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.

Related Organizations

Universitat Politècnica de València
Spain
Kyungpook National University
Korea (Republic of)

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