Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
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DOI：
10.1109/itst.2006.288906
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发表时间：
2006-06
期刊：
影响因子：
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通讯作者：
M. Sanchez;Juan-Carlos Cano;Dongkyun Kim
中科院分区：
文献类型：
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作者：
M. Sanchez;Juan-Carlos Cano;Dongkyun Kim
现代交通控制系统将智能反馈纳入交通信号灯控制系统。由于全球变暖和油价高企，改善交通系统燃油效率的新方法现在非常受欢迎。本文提出了一种关于驾驶员和交通灯如何相互作用以节省燃料的新方法。我们的初步结果表明，在城市电路中可以节省25%
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