Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
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.
Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
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.
Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
Sanchez, Miguel (Autor:in) / Cano, Juan-carlos (Autor:in) / Kim, Dongkyun (Autor:in)
01.06.2006
7125865 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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