Traffic Flow Prediction With Big Data: A Deep Learning Approach

@article{Lv2015TrafficFP,
  title={Traffic Flow Prediction With Big Data: A Deep Learning Approach},
  author={Yisheng Lv and Y. Duan and Wenwen Kang and Zhengxi Li and F. Wang},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2015},
  volume={16},
  pages={865-873}
}
  • Yisheng Lv, Y. Duan, +2 authors F. Wang
  • Published 2015
  • Engineering, Computer Science
  • IEEE Transactions on Intelligent Transportation Systems
Accurate and timely traffic flow information is important for the successful deployment of intelligent transportation systems. Over the last few years, traffic data have been exploding, and we have truly entered the era of big data for transportation. Existing traffic flow prediction methods mainly use shallow traffic prediction models and are still unsatisfying for many real-world applications. This situation inspires us to rethink the traffic flow prediction problem based on deep architecture… Expand
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