Extensive Traffic Light Prediction under Real-World Conditions

@article{Protschky2014ExtensiveTL,
  title={Extensive Traffic Light Prediction under Real-World Conditions},
  author={Valentin Protschky and Stefan Feit and Claudia Linnhoff-Popien},
  journal={2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)},
  year={2014},
  pages={1-5}
}
Innovative driving assisting systems, such as Green Light Optimal Speed Advisory (GLOSA), efficient start-stop control or traffic light warning systems can contribute to reducing CO2 emissions and traffic accidents. These systems necessitate reliable estimations on future traffic light signals on a large scale. However, due to dynamic adjustment of traffic lights' signal phasing and timing, the provision of such information on a certain quality level is a difficult task. This paper deals with… CONTINUE READING

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